# Sherpa 3.0.0 Manual¶

Welcome to the Sherpa manual. The manual for versions prior to 3.0.0 can be found here.

## 1. Introduction¶

Sherpa is a Monte Carlo event generator for the Simulation of High-Energy Reactions of Particles in lepton-lepton, lepton-photon, photon-photon, lepton-hadron and hadron-hadron collisions. This document provides information to help users understand and apply Sherpa for their physics studies. The event generator is introduced, in broad terms, and the installation and running of the program are outlined. The various options and parameters specifying the program are compiled, and their meanings are explained. This document does not aim at giving a complete description of the physics content of Sherpa. To this end, the authors refer the reader to the original publications, [GHK+09] and [B+19].

### 1.1. Introduction to Sherpa¶

Sherpa [B+19] is a Monte Carlo event generator that provides complete hadronic final states in simulations of high-energy particle collisions. The produced events may be passed into detector simulations used by the various experiments. The entire code has been written in C++, like its competitors Herwig++ [B+08] and Pythia 8 [SMS08].

Sherpa simulations can be achieved for the following types of collisions:

• for lepton–lepton collisions, as explored by the CERN LEP experiments,

• for lepton–photon collisions,

• for photon–photon collisions with both photons either resolved or unresolved,

• for deep-inelastic lepton-hadron scattering, as investigated by the HERA experiments at DESY, and,

• in particular, for hadronic interactions as studied at the Fermilab Tevatron or the CERN LHC.

The list of physics processes that can be simulated with Sherpa covers all reactions in the Standard Model. Other models can be implemented either using Sherpa’s own model syntax, or by using the generic interface [HKSS15] to the UFO output [DDF+12] of FeynRules [CD09],:cite:Christensen2009jx. The Sherpa program owes this versatility to the two inbuilt matrix-element generators, AMEGIC++ and Comix, and to it’s phase-space generator Phasic [KKS02], which automatically calculate and integrate tree-level amplitudes for the implemented models. This feature enables Sherpa to be used as a cross-section integrator and parton-level event generator as well. This aspect has been extensively tested, see e.g. [GKP+04], [H+06].

As a second key feature of Sherpa the program provides an implementation of the merging approaches of [HKSS09] and [GHK+13], [HKSS13]. These algorithms yield improved descriptions of multijet production processes, which copiously appear at lepton-hadron colliders like HERA [CGH10], or hadron-hadron colliders like the Tevatron and the LHC, [KSSS04], [KSSS05], [GKS+05], [HSS10]. An older approach, implemented in previous versions of Sherpa and known as the CKKW technique [CKKW01], [Kra02], has been compared in great detail in [A+08] with other approaches, such as the MLM merging prescription [MMP02] as implemented in Alpgen [MMP+03], Madevent [SL94], [MS03], or Helac [KP00], [PW07] and the CKKW-L prescription [Lon02], [LL05] of Ariadne [Lon92].

This manual contains all information necessary to get started with Sherpa as quickly as possible. It lists options and switches of interest for steering the simulation of various physics aspects of the collision. It does not describe the physics simulated by Sherpa or the underlying structure of the program. Many external codes can be linked with Sherpa. This manual explains how to do this, but it does not contain a description of the external programs. You are encouraged to read their corresponding documentations, which are referenced in the text. If you use external programs with Sherpa, you are encouraged to cite them accordingly.

The MCnet Guidelines apply to Sherpa. You are kindly asked to cite [B+19] if you have used the program in your work.

The Sherpa authors strongly recommend the study of the manuals and many excellent publications on different aspects of event generation and physics at collider experiments written by other event generator authors.

This manual is organized as follows: in Basic structure the modular structure intrinsic to Sherpa is introduced. Getting started contains information about and instructions for the installation of the package. There is also a description of the steps that are needed to run Sherpa and generate events. The Input structure is then discussed, and the ways in which Sherpa can be steered are explained. All parameters and options are discussed in Parameters. Advanced Tips and tricks are detailed, and some options for Customization are outlined for those more familiar with Sherpa. There is also a short description of the different Examples provided with Sherpa.

The construction of Monte Carlo programs requires several assumptions, approximations and simplifications of complicated physics aspects. The results of event generators should therefore always be verified and cross-checked with results obtained by other programs, and they should be interpreted with care and common sense.

### 1.2. Basic structure¶

Sherpa is a modular program. This reflects the paradigm of Monte Carlo event generation, with the full simulation is split into well defined event phases, based on QCD factorization theorems. Accordingly, each module encapsulates a different aspect of event generation for high-energy particle reactions. It resides within its own namespace and is located in its own subdirectory of the same name. The main module called SHERPA steers the interplay of all modules – or phases – and the actual generation of the events. Altogether, the following modules are currently distributed with the Sherpa framework:

ATOOLS

This is the toolbox for all other modules. Since the Sherpa framework does not rely on CLHEP etc., the ATOOLS contain classes with mathematical tools like vectors and matrices, organization tools such as read-in or write-out devices, and physics tools like particle data or classes for the event record.

METOOLS

In this module some general methods for the evaluation of helicity amplitudes have been accumulated. They are used in AMEGIC++, the EXTRA_XS module, and the new matrix-element generator Comix. This module also contains helicity amplitudes for some generic matrix elements, that are, e.g., used by HADRONS++. Further, METOOLS also contains a simple library of tensor integrals which are used in the PHOTONS++ matrix element corrections.

BEAM

This module manages the treatment of the initial beam spectra for different colliders. The three options which are currently available include a monochromatic beam, which requires no extra treatment, photon emission in the Equivalent Photon Approximation (EPA) and - for the case of an electron collider - laser backscattering off the electrons, leading to photonic initial states.

PDF

The PDF module provides access to various parton density functions (PDFs) for the proton and the photon. In addition, it hosts an interface to the LHAPDF package, which makes a full wealth of PDFs available. An (analytical) electron structure function is supplied in the PDF module as well.

MODEL

This module sets up the physics model for the simulation. It initializes particle properties, basic physics parameters (coupling constants, mixing angles, etc.) and the set of available interaction vertices (Feynman rules). By now, there exist explicit implementations of the Standard Model (SM), its Minimal Supersymmetric extension (MSSM), the ADD model of large extra dimensions, and a comprehensive set of operators parametrizing anomalous triple and quartic electroweak gauge boson couplings. An Interface to FeynRules is also available.

EXTRA_XS

In this module a (limited) collection of analytic expressions for simple 2->2 processes within the SM are provided together with classes embedding them into the Sherpa framework. This also includes methods used for the definition of the starting conditions for parton-shower evolution, such as colour connections and the hard scale of the process.

AMEGIC++

AMEGIC++ [KKS02] is Sherpa’s original matrix-element generator. It employs the method of helicity amplitudes [KS85], [BMM94] and works as a generator, which generates generators: During the initialization run the matrix elements for a given set of processes, as well as their specific phase-space mappings are created by AMEGIC++. Corresponding C++ sourcecode is written to disk and compiled by the user using the makelibs script or scons. The produced libraries are linked to the main program automatically in the next run and used to calculate cross sections and to generate weighted or unweighted events. AMEGIC++ has been tested for multi-particle production in the Standard Model [GKP+04]. Its MSSM implementation has been validated in [H+06].

COMIX

Comix is a multi-leg tree-level matrix element generator, based on the color dressed Berends-Giele recursive relations [DHM06]. It employs a new algorithm to recursively compute phase-space weights. The module is a useful supplement to older matrix element generators like AMEGIC++ in the high multiplicity regime. Due to the usage of colour sampling it is particularly suited for an interface with parton shower simulations and can hence be easily employed for the ME-PS merging within Sherpa. It is Sherpa’s default large multiplicity matrix element generator for the Standard Model.

PHASIC++

All base classes dealing with the Monte Carlo phase-space integration are located in this module. For the evaluation of the initial-state (laser backscattering, initial-state radiation) and final-state integrals, the adaptive multi-channel method of [KP94], [BPK94] is used by default together with a Vegas optimization [Lep] of the single channels. In addition, final-state integration accomplished by Rambo [KSE86], Sarge [DvHK00] and HAAG [vHP02] is supported.

CSSHOWER++

This is the module hosting Sherpa’s default parton shower, which was published in [SK08b]. The corresponding shower model was originally proposed in [NS05], [NS]. It relies on the factorisation of real-emission matrix elements in the CS subtraction framework [CS97], [CDST02]. There exist four general types of CS dipole terms that capture the complete infrared singularity structure of next-to-leading order QCD amplitudes. In the large-N_C limit, the corresponding splitter and spectator partons are always adjacent in colour space. The dipole functions for the various cases, taken in four dimensions and averaged over spins, are used as shower splitting kernels.

DIRE

This is the module hosting Sherpa’s alternative parton shower [HP]. In the Dire model, the ordering variable exhibits a symmetry in emitter and spectator momenta, such that the dipole-like picture of the evolution can be re-interpreted as a dipole picture in the soft limit. At the same time, the splitting functions are regularized in the soft anti-collinear region using partial fractioning of the soft eikonal in the Catani-Seymour approach [CS97], [CDST02]. They are then modified to satisfy the sum rules in the collinear limit. This leads to an invariant formulation of the parton-shower algorithm, which is in complete analogy to the standard DGLAP case, but generates the correct soft anomalous dimension at one-loop order.

AMISIC++

AMISIC++ contains classes for the simulation of multiple parton interactions according to [SvZ87]. In Sherpa the treatment of multiple interactions has been extended by allowing for the simultaneous evolution of an independent parton shower in each of the subsequent (semi-)hard collisions. The beam–beam remnants are organized such that partons which are adjacent in colour space are also adjacent in momentum space. The corresponding classes for beam remnant handling reside in the PDF and SHERPA modules.

AHADIC++ is Sherpa’s hadronization package, for translating the partons (quarks and gluons) into primordial hadrons, to be further decayed in HADRONS++. The algorithm bases on the cluster fragmentation ideas presented in [Got83], [Got84], [Web84], [GM87] and implemented in the Herwig family of event generators. The actual Sherpa implementation, based on [WKS04], differs from the original model in several respects.

HADRONS++ is the module for simulating hadron and tau-lepton decays. The resulting decay products respect full spin correlations (if desired). Several matrix elements and form-factor models have been implemented, such as the Kühn-Santamaría model, form-factor parametrizations from Resonance Chiral Theory for the tau and form factors from heavy quark effective theory or light cone sum rules for hadron decays.

PHOTONS++

The PHOTONS++ module holds routines to add QED radiation to hadron and tau-lepton decays. This has been achieved by an implementation of the YFS algorithm [YFS61]. The structure of PHOTONS++ is such that the formalism can be extended to scattering processes and to a systematic improvement to higher orders of perturbation theory [SK08a]. The application of PHOTONS++ therefore accounts for corrections that usually are added by the application of PHOTOS [Ba94] to the final state.

SHERPA

Finally, SHERPA is the steering module that initializes, controls and evaluates the different phases during the entire process of event generation. All routines for the combination of truncated showers and matrix elements, which are independent of the specific matrix element and parton shower generator are found in this module.

The actual executable of the Sherpa generator can be found in the subdirectory <prefix>/bin/ and is called Sherpa. To run the program, input files have to be provided in the current working directory or elsewhere by specifying the corresponding path, see Input structure. All output files are then written to this directory as well.

## 2. Getting started¶

### 2.1. Installation¶

Sherpa is distributed as a tarred and gzipped file named SHERPA-MC-<VERSION>.tar.gz, and can be unpacked in the current working directory with

$tar -zxf SHERPA-MC-<VERSION>.tar.gz  Alternatively, it can also be accessed via Git through the location specified on the download page. In that case, before continuing, it is necessary to construct the build scripts by running autoreconf -i once after cloning the Git repo. To guarantee successful installation, the following tools should be available on the system: • C++ and Fortran compilers (e.g. from the gcc suite) • make • SQLite 3 (including the -dev package if installed through a package manager) If SQLite is installed in a non-standard location, please specify the installation path using option --with-sqlite3=/path/to/sqlite. If SQLite is not installed on your system, the Sherpa configure script provides the fallback option of installing it into the same directory as Sherpa itself. To do so, please run configure with option --with-sqlite3=install (This may not work if you are cross-compiling using --host. In this case, please install SQLite by yourself and reconfigure using --with-sqlite3=/path/to/sqlite). Compilation and installation proceed through the following commands if you use the distribution tarball: $ ./configure [options]
$make install  To install from a cloned git repository run: $ autoreconf -i
$mkdir build && cd build$ ../configure [options]
$make install  If not specified differently, the directory structure after installation is organized as follows $(prefix)/bin

Sherpa executable and scripts

$(prefix)/include headers for process library compilation $(prefix)/lib

basic libraries

$(prefix)/share PDFs, Decaydata, fallback run cards The installation directory $(prefix) can be specified by using the ./configure --prefix /path/to/installation/target directive and defaults to the current working directory.

If Sherpa has to be moved to a different directory after the installation, one has to set the following environment variables for each run:

• SHERPA_INCLUDE_PATH=$newprefix/include/SHERPA-MC • SHERPA_SHARE_PATH=$newprefix/share/SHERPA-MC

• SHERPA_LIBRARY_PATH=$newprefix/lib/SHERPA-MC • LD_LIBRARY_PATH=$SHERPA_LIBRARY_PATH:$LD_LIBRARY_PATH Sherpa can be interfaced with various external packages, e.g. HepMC, for event output, or Rivet, for analysis. For this to work, the user has to pass the appropriate commands to the configure step. This is achieved as shown below: $ ./configure --enable-hepmc3=/path/to/hepmc --enable-rivet=/path/to/rivet


Here, the paths have to point to the top level installation directories of the external packages, i.e. the ones containing the lib/, share/, … subdirectories.

For a complete list of possible configuration options run ./configure --help

The Sherpa package has successfully been compiled, installed and tested on SuSE, RedHat / Scientific Linux and Debian / Ubuntu Linux systems using the GNU C++ compiler versions 3.2, 3.3, 3.4, and 4.x as well as on Mac OS X 10 using the GNU C++ compiler version 4.0. In all cases the GNU FORTRAN compiler g77 or gfortran has been employed.

If you have multiple compilers installed on your system, you can use shell environment variables to specify which of these are to be used. A list of the available variables is printed with

$./configure --help  in the Sherpa top level directory and looking at the last lines. Depending on the shell you are using, you can set these variables e.g. with export (bash) or setenv (csh). Examples: export CXX=g++-3.4 export CC=gcc-3.4 export CPP=cpp-3.4  #### 2.1.1. Installation on Cray XE6 / XK7¶ Sherpa has been installed successfully on Cray XE6 and Cray XK7. The following configure command should be used $ ./configure <your options> --enable-mpi --host=i686-pc-linux CC=CC CXX=CC FC='ftn -fPIC' LDFLAGS=-dynamic


Sherpa can then be run with

$aprun -n <nofcores> <prefix>/bin/Sherpa -lrun.log  The modularity of the code requires setting the environment variable CRAY_ROOTFS, cf. the Cray system documentation. #### 2.1.2. Installation on IBM BlueGene/Q¶ Sherpa has been installed successfully on an IBM BlueGene/Q system. The following configure command should be used $ ./configure <your options> --enable-mpi --host=powerpc64-bgq-linux CC=mpic++ CXX=mpic++ FC='mpif90 -fPIC -funderscoring' LDFLAGS=-dynamic


Sherpa can then be run with

$qsub -A <account> -n <nofcores> -t 60 --mode c16 <prefix>/bin/Sherpa -lrun.log  #### 2.1.3. MacOS Installation¶ Since it is more complicated to set up the necessary compiler environment on a Mac we recommend using a package manager to install Sherpa and its dependencies. David Hall is hosting a repository for Homebrew packages at: http://davidchall.github.io/homebrew-hep/ In case you are compiling yourself, please be aware of the following issues which have come up on Mac installations before: • On 10.4 and 10.5 only gfortran is supported, and you will have to install it e.g. from HPC • If you want to reconfigure, i.e. run the command autoreconf or (g)libtoolize, you have to make sure that you have a recent version of GNU libtool (>=1.5.22 has been tested). Don’t confuse this with the native non-GNU libtool which is installed in /usr/bin/libtool and of no use! Also make sure that your autools (autoconf >= 2.61, automake >= 1.10 have been tested) are of recent versions. All this should not be necessary though, if you only run configure. • Make sure that you don’t have two versions of g++ and libstdc++ installed and being used inconsistently. This appeared e.g. when the gcc suite was installed through Fink to get gfortran. This caused Sherpa to use the native MacOS compilers but link the libstdc++ from Fink (which is located in /sw/lib). You can find out which libraries are used by Sherpa by running otool -L bin/Sherpa ### 2.2. Running Sherpa¶ The Sherpa executable resides in the directory <prefix>/bin/ where <prefix> denotes the path to the Sherpa installation directory. The way a particular simulation will be accomplished is defined by several parameters, which can all be listed in a common file, or data card (Parameters can be alternatively specified on the command line; more details are given in Input structure). This steering file is called Sherpa.yaml and some example setups (i.e. Sherpa.yaml files) are distributed with the current version of Sherpa. They can be found in the directory <prefix>/share/SHERPA-MC/Examples/, and descriptions of some of their key features can be found in the section Examples. Note It is not in general possible to reuse steering files from previous Sherpa versions. Often there are small changes in the parameter syntax of the files from one version to the next. These changes are documented in our manuals. In addition, update any custom Decaydata directories you may have used (and reapply any changes which you might have applied to the old ones), see Hadron decays. The very first step in running Sherpa is therefore to adjust all parameters to the needs of the desired simulation. The details for doing this properly are given in Parameters. In this section, the focus is on the main issues for a successful operation of Sherpa. This is illustrated by discussing and referring to the parameter settings that come in the example steering file ./Examples/V_plus_Jets/LHC_ZJets/Sherpa.yaml, cf. Z+jets production. This is a simple configuration created to show the basics of how to operate Sherpa. It should be stressed that this steering file relies on many of Sherpa’s default settings, and, as such, you should understand those settings before using it to look at physics. For more information on the settings and parameters in Sherpa, see Parameters, and for more examples see the Examples section. #### 2.2.1. Process selection and initialization¶ Central to any Monte Carlo simulation is the choice of the hard processes that initiate the events. These hard processes are described by matrix elements. In Sherpa, the selection of processes happens in the PROCESSES part of the steering file. Only a few 2->2 reactions have been hard-coded. They are available in the EXTRA_XS module. The more usual way to compute matrix elements is to employ one of Sherpa’s automated tree-level generators, AMEGIC++ and Comix, see Basic structure. If no matrix-element generator is selected, using the ME_GENERATORS tag, then Sherpa will use whichever generator is capable of calculating the process, checking Comix first, then AMEGIC++ and then EXTRA_XS. Therefore, for some processes, several of the options are used. In this example, however, all processes will be calculated by Comix. To begin with the example, the Sherpa run has to be started by changing into the <prefix>/share/SHERPA-MC/Examples/V_plus_Jets/LHC_ZJets/ directory and executing $ <prefix>/bin/Sherpa


You may also run from an arbitrary directory, employing <prefix>/bin/Sherpa --path=<prefix>/share/SHERPA-MC/Examples/V_plus_Jets/LHC_ZJets. In the example, an absolute path is passed to the optional argument –path. It may also be specified relative to the current working directory. If it is not specified at all, the current working directory is understood.

For good book-keeping, it is highly recommended to reserve different subdirectories for different simulations as is demonstrated with the example setups.

If AMEGIC++ is used, Sherpa requires an initialization run, where C++ source code is written to disk. This code must be compiled into dynamic libraries by the user by running the makelibs script in the working directory. Alternatively, if scons is installed, you may invoke <prefix>/bin/make2scons and run scons install. After this step Sherpa is run again for the actual cross section integrations and event generation. For more information on and examples of how to run Sherpa using AMEGIC++, see Running Sherpa with AMEGIC++.

If the internal hard-coded matrix elements or Comix are used, and AMEGIC++ is not, an initialization run is not needed, and Sherpa will calculate the cross sections and generate events during the first run.

As the cross sections are integrated, the integration over phase space is optimized to arrive at an efficient event generation. Subsequently events are generated if a number of events is passed to the optional argument --events or set in the Sherpa.yaml file with the EVENTS parameters.

The generated events are not stored into a file by default; for details on how to store the events see Event output formats. Note that the computational effort to go through this procedure of generating, compiling and integrating the matrix elements of the hard processes depends on the complexity of the parton-level final states. For low multiplicities (2->2,3,4), of course, it can be followed instantly.

Usually more than one generation run is wanted. As long as the parameters that affect the matrix-element integration are not changed, it is advantageous to store the cross sections obtained during the generation run for later use. This saves CPU time especially for large final-state multiplicities of the matrix elements. Per default, Sherpa stores these integration results in a directory called Results/. The name of the output directory can be customised via Results directory

<prefix>/bin/Sherpa -r <result>/


or with RESULT_DIRECTORY: <result>/ in the steering file, see RESULT_DIRECTORY. The storage of the integration results can be prevented by either using

<prefix>/bin/Sherpa -g


or by specifying GENERATE_RESULT_DIRECTORY: false in the steering file.

If physics parameters change, the cross sections have to be recomputed. The new results should either be stored in a new directory or the <result> directory may be re-used once it has been emptied. Parameters which require a recomputation are any parameters affecting the Models, Matrix elements or Selectors. Standard examples are changing the magnitude of couplings, renormalisation or factorisation scales, changing the PDF or centre-of-mass energy, or, applying different cuts at the parton level. If unsure whether a recomputation is required, a simple test is to temporarily use a different value for the RESULT_DIRECTORY option and check whether the new integration numbers (statistically) comply with the stored ones.

A warning on the validity of the process libraries is in order here: it is absolutely mandatory to generate new library files, whenever the physics model is altered, i.e. particles are added or removed and hence new or existing diagrams may or may not anymore contribute to the same final states. Also, when particle masses are switched on or off, new library files must be generated (however, masses may be changed between non-zero values keeping the same process libraries). The best recipe is to create a new and separate setup directory in such cases. Otherwise the Process and Results directories have to be erased:

$rm -rf Process/ Results/  In either case one has to start over with the whole initialization procedure to prepare for the generation of events. #### 2.2.2. The example set-up: Z+Jets at the LHC¶ The setup file (Sherpa.yaml) provided in ./Examples/V_plus_Jets/LHC_ZJets/ can be considered as a standard example to illustrate the generation of fully hadronised events in Sherpa, cf. Z+jets production. Such events will include effects from parton showering, hadronisation into primary hadrons and their subsequent decays into stable hadrons. Moreover, the example chosen here nicely demonstrates how Sherpa is used in the context of merging matrix elements and parton showers [HKSS09]. In addition to the aforementioned corrections, this simulation of inclusive Drell-Yan production (electron-positron channel) will then include higher-order jet corrections at the tree level. As a result the transverse-momentum distribution of the Drell-Yan pair and the individual jet multiplicities as measured by the ATLAS and CMS collaborations at the LHC can be well described. Before event generation, the initialization procedure as described in Process selection and initialization has to be completed. The matrix-element processes included in the setup are the following: proton proton -> parton parton -> electron positron + up to five partons  In the PROCESSES list of the steering file this translates into PROCESSES: - 93 93 -> 11 -11 93{5}: Order: {QCD: 0, EW: 2} CKKW: 20 [...]  Fixing the order of electroweak couplings to 2, matrix elements of all partonic subprocesses for Drell-Yan production without any and with up to two extra QCD parton emissions will be generated. Proton–proton collisions are considered at beam energies of 6.5 TeV. Model parameters and couplings can all be defined in the Sherpa.yaml file as you will see in the rest of this manual. The QCD radiation matrix elements have to be regularised to obtain meaningful cross sections. This is achieved by specifying CKKW: 20 when defining the process in Sherpa.yaml. Simultaneously, this tag initiates the ME-PS merging procedure. To eventually obtain fully hadronised events, the FRAGMENTATION setting has been left on it’s default value Ahadic (and therefore been omitted from the steering file), which will run Sherpa’s cluster hadronisation, and the DECAYMODEL setting has it’s default value Hadrons, which will run Sherpa’s hadron decays. Additionally corrections owing to photon emissions are taken into account. For a first example run with this setup, we suggest to simplify the run card significantly and only later, for physics studies, going back to the full-featured run card. So replace the full process listing with a short and simple PROCESSES: - 93 93 -> 11 -11 93{1}: Order: {QCD: 0, EW: 2} CKKW: 20  for now. Then you can go ahead and start Sherpa for the first time by running the $ <prefix>/bin/Sherpa


command as described in Running Sherpa. Sherpa displays some output as it runs. At the start of the run, Sherpa initializes the relevant model, and displays a table of particles, with their PDG codes and some properties. It also displays the Particle containers, and their contents. The other relevant parts of Sherpa are initialized, including the matrix element generator(s). The Sherpa output will look like:

Welcome to Sherpa, <user name> on <host name>. Initialization of framework underway.
[...]
Random::SetSeed(): Seed set to 1234
[...]
Beam_Spectra_Handler :
type = Monochromatic*Monochromatic
for    P+  ((4000,0,0,4000))
and    P+  ((4000,0,0,-4000))
PDF set 'ct14nn' loaded for beam 1 (P+).
PDF set 'ct14nn' loaded for beam 2 (P+).
Initialized the ISR.
Standard_Model::FixEWParameters() {
Input scheme: 2
alpha(m_Z) scheme, input: 1/\alphaQED(m_Z), m_W, m_Z, m_h, widths
Ren. scheme:  2
alpha(m_Z)
Parameters:   sin^2(\theta_W) = 0.222928 - 0.00110708 i
vev              = 243.034 - 3.75492 i
}
Running_AlphaQED::PrintSummary() {
Setting \alpha according to EW scheme
1/\alpha(0)   = 128.802
1/\alpha(def) = 128.802
}
One_Running_AlphaS::PrintSummary() {
Setting \alpha_s according to PDF
perturbative order 2
\alpha_s(M_Z) = 0.118
}
[...]
Initialized the Fragmentation_Handler.
Initialized the Soft_Collision_Handler.
Initialized the Shower_Handler.
[...]
Matrix_Element_Handler::BuildProcesses(): Looking for processes .. done
Matrix_Element_Handler::InitializeProcesses(): Performing tests .. done
Matrix_Element_Handler::InitializeProcesses(): Initializing scales  done
Initialized the Matrix_Element_Handler for the hard processes.
Primordial_KPerp::Primordial_KPerp() {
scheme = 0
beam 1: P+, mean = 1.1, sigma = 0.914775
beam 2: P+, mean = 1.1, sigma = 0.914775
}
Initialized the Beam_Remnant_Handler.
[...]
R


Then Sherpa will start to integrate the cross sections. The output will look like:

Process_Group::CalculateTotalXSec(): Calculate xs for '2_2__j__j__e-__e+' (Comix)
Starting the calculation at 11:58:56. Lean back and enjoy ... .
822.035 pb +- ( 16.9011 pb = 2.05601 % ) 5000 ( 11437 -> 43.7 % )
full optimization:  ( 0s elapsed / 22s left ) [11:58:56]
841.859 pb +- ( 11.6106 pb = 1.37916 % ) 10000 ( 18153 -> 74.4 % )
full optimization:  ( 0s elapsed / 21s left ) [11:58:57]
...


The first line here displays the process which is being calculated. In this example, the integration is for the 2->2 process, parton, parton -> electron, positron. The matrix element generator used is displayed after the process. As the integration progresses, summary lines are displayed, like the one shown above. The current estimate of the cross section is displayed, along with its statistical error estimate. The number of phase space points calculated is displayed after this (10000 in this example), and the efficiency is displayed after that. On the line below, the time elapsed is shown, and an estimate of the total time till the optimisation is complete. In square brackets is an output of the system clock.

When the integration is complete, the output will look like:

...
852.77 pb +- ( 0.337249 pb = 0.0395475 % ) 300000 ( 313178 -> 98.8 % )
integration time:  ( 19s elapsed / 0s left ) [12:01:35]
852.636 pb +- ( 0.330831 pb = 0.038801 % ) 310000 ( 323289 -> 98.8 % )
integration time:  ( 19s elapsed / 0s left ) [12:01:35]
2_2__j__j__e-__e+ : 852.636 pb +- ( 0.330831 pb = 0.038801 % )  exp. eff: 13.4945 %
reduce max for 2_2__j__j__e-__e+ to 0.607545 ( eps = 0.001 )


with the final cross section result and its statistical error displayed.

Sherpa will then move on to integrate the other processes specified in the run card.

When the integration is complete, the event generation will start. As the events are being generated, Sherpa will display a summary line stating how many events have been generated, and an estimate of how long it will take. When the event generation is complete, Sherpa’s output looks like:

Event 10000 ( 72 s total ) = 1.20418e+07 evts/day
In Event_Handler::Finish : Summarizing the run may take some time.
+----------------------------------------------------+
|                                                    |
|  Total XS is 900.147 pb +- ( 8.9259 pb = 0.99 % )  |
|                                                    |
+----------------------------------------------------+


A summary of the number of events generated is displayed, with the total cross section for the process.

The generated events are not stored into a file by default; for details on how to store the events see Event output formats.

#### 2.2.3. Parton-level event generation with Sherpa¶

Sherpa has its own tree-level matrix-element generators called AMEGIC++ and Comix. Furthermore, with the module PHASIC++, sophisticated and robust tools for phase-space integration are provided. Therefore Sherpa obviously can be used as a cross-section integrator. Because of the way Monte Carlo integration is accomplished, this immediately allows for parton-level event generation. Taking the LHC_ZJets setup, users have to modify just a few settings in Sherpa.yaml and would arrive at a parton-level generation for the process gluon down-quark to electron positron and down-quark, to name an example. When, for instance, the options “EVENTS: 0” and “OUTPUT: 2” are added to the steering file, a pure cross-section integration for that process would be obtained with the results plus integration errors written to the screen.

For the example, the process definition in PROCESSES simplifies to

- 21 1 -> 11 -11 1:
Order: {QCD: 1, EW: 2}


with all other settings in the process block removed. And under the assumption to start afresh, the initialization procedure has to be followed as before. Picking the same collider environment as in the previous example there are only two more changes before the Sherpa.yaml file is ready for the calculation of the hadronic cross section of the process g d to e- e+ d at LHC and subsequent parton-level event generation with Sherpa. These changes read SHOWER_GENERATOR: None, to switch off parton showering, FRAGMENTATION: None, to do so for the hadronisation effects, MI_HANDLER: None, to switch off multiparton interactions, and ME_QED: {ENABLED: false}, to switch off resummed QED corrections onto the $$Z \rightarrow e^- e^+$$ decay. Additionally, the non-perturbative intrinsic transverse momentum may be wished to not be taken into account, therefore set BEAM_REMNANTS: false.

#### 2.2.4. Multijet merged event generation with Sherpa¶

For a large fraction of LHC final states, the application of reconstruction algorithms leads to the identification of several hard jets. Calculations therefore need to describe as accurately as possible both the hard jet production as well as the subsequent evolution and the interplay of multiple such topologies. Several scales determine the evolution of the event.

Various such merging schemes have been proposed: [CKKW01], [Lon02], [MMP02], [Kra02], [MMPT07], [LL08], [HKSS09], [HRT09], [HN10], [HKSS11], [LP12], [HKSS13], [GHK+13], [LPb], [LPa]. Comparisons of the older approaches can be found e.g. in [H+], [A+08]. The currently most advanced treatment at tree-level, detailed in [HKSS09], [HSS10], [CGH10], is implemented in Sherpa.

How to setup a multijet merged calculation is detailed in most Examples, eg. W+jets production, Z+jets production or Top quark (pair) + jets production.

#### 2.2.5. Running Sherpa with AMEGIC++¶

When Sherpa is run using the matrix element generator AMEGIC++, it is necessary to run it twice. During the first run (the initialization run) Feynman diagrams for the hard processes are constructed and translated into helicity amplitudes. Furthermore suitable phase-space mappings are produced. The amplitudes and corresponding integration channels are written to disk as C++ source code, placed in a subdirectory called Process. The initialization run is started using the standard Sherpa executable, as described in Running Sherpa. The relevant command is

$<prefix>/bin/Sherpa  The initialization run stops with the message “New libraries created. Please compile.”, which is nothing but the request to carry out the compilation and linking procedure for the generated matrix-element libraries. The makelibs script, provided for this purpose and created in the working directory, must be invoked by the user (see ./makelibs -h for help): $ ./makelibs


Note that the following tools have to be available for this step: autoconf, automake and libtool.

Alternatively, if scons is installed, you may invoke <prefix>/bin/make2scons and run scons install. If scons was detected during the compilation of Sherpa, also makelibs uses scons per default (can be forced to use autotools by ./makelibs -s).

Another option is ./makelibs -m, which creates one library per subprocess. This can be useful for very complex processes, in particular if the default combined library generation fails due to a limit on the number of command line arguments. Note that this option requires that Sherpa is run with AMEGIC_LIBRARY_MODE: 0 (default: 1).

Afterwards Sherpa can be restarted using the same command as before. In this run (the generation run) the cross sections of the hard processes are evaluated. Simultaneously the integration over phase space is optimized to arrive at an efficient event generation.

### 2.3. Cross section determination¶

To determine the total cross section, in particular in the context of multijet merging with Sherpa, the final output of the event generation run should be used, e.g.

+-----------------------------------------------------+
|                                                     |
|  Total XS is 1612.17 pb +- ( 8.48908 pb = 0.52 % )  |
|                                                     |
+-----------------------------------------------------+


Note that the Monte Carlo error quoted for the total cross section is determined during event generation. It, therefore, might differ substantially from the errors quoted during the integration step, and it can be reduced simply by generating more events.

In contrast to plain fixed order results, Sherpa’s total cross section in multijet merging setups (MEPS, MENLOPS, MEPS@NLO) is composed of values from various fixed order processes, namely those which are combined by applying the multijet merging, see Multijet merged event generation with Sherpa. In this context, it is important to note:

The higher multiplicity tree-level cross sections determined during the integration step are meaningless by themselves, only the inclusive cross section printed at the end of the event generation run is to be used.

Sherpa total cross sections have leading order accuracy when the generator is run in LO merging mode (MEPS), in NLO merging (MENLOPS, MEPS@NLO) mode they have NLO accuracy.

#### 2.3.1. Differential cross sections from single events¶

To calculate the expectation value of an observable defined through a series of cuts and requirements each event produced by Sherpa has to be evaluated whether it meets the required criteria. The expectation value is then given by

$\langle O\rangle = \frac{1}{N_\text{trial}} \cdot \sum_i^n {w_i(\Phi_i) O(\Phi_i)}.$

Therein the $$w_i(\Phi_i)$$ are the weight of the event with the phase space configuration $$\Phi_i$$ and $$O(\Phi_i)$$ is the value of the observable at this point. $$N_\text{trial} = \sum_i^n n_{\text{trial,i}}$$ is the sum of number of trials $$n_\text{trial,i}$$ of all events. A good cross check is to reproduce the inclusive cross section as quoted by Sherpa (see above).

In case of unweighted events one might want to rescale the uniform event weight to unity using w_norm. The above equation then reads

$\langle O \rangle = \frac{w_\text{norm}}{N_\text{trial}} \cdot \sum_i^n{\frac{w_i(\Phi_i)}{w_\text{norm} O(\Phi_i)}}$

wherein $$\frac{w_i(\Phi_i)}{w_norm} = 1$$, i.e. the sum simply counts how many events pass the selection criteria of the observable. If however, PartiallyUnweighted event weights or Enhance_Factor or Enhance_Observable are used, this is no longer the case and the full form needs to be used.

All required quantities, $$w_i$$, $$w_\text{norm}$$ and $$n_{\text{trial},i}$$, accompany each event and are written e.g. into the HepMC output (cf. Event output formats).

## 3. Command Line Options¶

The available command line options for Sherpa.

--run-data, -f <file>

Read settings from input file <file>, see Input structure. This is deprecated, use positional arguments to specify input files instead, see Input structure.

--path, -p <path>

Read input file from path <path>, see Input structure.

--sherpa-lib-path, -L <path>

Set Sherpa library path to <path>, see SHERPA_CPP_PATH.

--events, -e <N_events>

Set number of events to generate <N_events>, see EVENTS.

--event-type, -t <event_type>

Set the event type to <event_type>, see EVENT_TYPE.

--result-directory, -r <path>

Set the result directory to <path>, see RESULT_DIRECTORY.

--random-seed, -R <seed>

Set the seed of the random number generator to <seed>, see RANDOM_SEED.

--me-generators, -m <generators>

Set the matrix element generator list to <generators>, see ME_GENERATORS. If you specify more than on generator, use the YAML sequence syntax, e.g. -m '[Amegic, Comix]'.

--mi-handler, -M <handler>

Set multiple interaction handler to <handler>, see MI_HANDLER.

--event-generation-mode, -w <mode>

Set the event generation mode to <mode>, see EVENT_GENERATION_MODE.

--shower-generator, -s <generator>

Set the parton shower generator to <generator>, see SHOWER_GENERATOR.

--fragmentation, -F <module>

Set the fragmentation module to <module>, see Fragmentation.

--decay, -D <module>

Set the hadron decay module to <module>, see Hadron decays.

--analysis, -a <analyses>

Set the analysis handler list to <analyses>, see ANALYSIS. If you specify more than one analysis handler, use the YAML sequence syntax, e.g. -a '[Rivet, Internal]'.

--analysis-output, -A <path>

Set the analysis output path to <path>, see ANALYSIS_OUTPUT.

--output, -O <level>

Set general output level <level>, see OUTPUT.

--event-output, -o <level>

Set output level for event generation <level>, see OUTPUT.

--log-file, -l <logfile>

Set log file name <logfile>, see LOG_FILE.

--disable-result-directory-generation, -g

Do not create result directory, see RESULT_DIRECTORY.

--disable-batch-mode, -b

Switch to non-batch mode, see BATCH_MODE.

--print-version-info, -V

Print extended version information at startup.

--version, -v

Print versioning information.

--help, -h

Print a help message.

'PARAMETER: Value'

Set the value of a parameter, see Parameters.

'Tags: {TAG: Value}'

Set the value of a tag, see Tags.

## 4. Input structure¶

A Sherpa setup is steered by various parameters, associated with the different components of event generation.

These have to be specified in a configuration file which by default is named Sherpa.yaml in the current working directory. If you want to use a different setup directory for your Sherpa run, you have to specify it on the command line as -p <dir> or 'PATH: <dir>' (including the quotes).

To read parameters from a configuration file with a different name, you may give the file name as a positional argument on the command line like this: Sherpa <file>. Note that you can also pass more than one file like this: Sherpa <file1> <file2> ... In this case, settings in files to the right take precedence. This can be useful to reduce duplication in the case that you have several setups that share a common set of settings.

Note that you can also pass filenames using the legacy syntax -f <file> or 'RUNDATA: [<file1>, <file2>]'. However, this is deprecated. Use positional arguments instead. Mixing this legacy syntax and positional arguments for specifying configuration files is undefined behaviour.

Sherpa’s configuration files are written in the YAML format. Most settings are just written as the settings’ name followed by its value, like this:

EVENTS: 100M
BEAMS: 2212
BEAM_ENERGIES: 7000
...


In other words, they are key-value pairs of the top-level mapping. For some settings, the value is itself a mapping. Hence, we get a nested structure, for example:

HARD_DECAYS:
Enabled: true
Apply_Branching_Ratios: false


where Enabled and Apply_Branching_Ratios are sub-settings of the top-level HARD_DECAYS setting. The hierarchy is denoted by indentation here. In YAML, this is called block style and relies on proper formatting (i.e. each element must be on a separate line, and indentation must be consistent). Alternatively, one can use flow style, using indicators such as braces instead of whitespace to indicate structure. For the previous example, the inner mapping can be written with curly braces and commas:

HARD_DECAYS: { Enabled: true, Apply_Branching_Ratios: false }


Other settings are sequences of elements. An example would be a sequence of two scale variations:

SCALE_VARIATIONS:
- 0.25
- 4.00


In block style, each sequential items is prepended with a single dash. Equivalently, the snippet can be rewritten in flow style using square brackets (line breaks are completely optional then, and are omitted here):

SCALE_VARIATIONS: [0.25, 4.00]


Each SCALE_VARIATIONS item can itself be a sequence (to specify different variations for the factorisation and renormalisation scale). Block and flow style can be freely mixed in the different levels:

SCALE_VARIATIONS:
- 0.25
- [0.25, 1.00]
- [1.00, 0.25]


The different settings and their structure are described in detail in another chapter of this manual, see Parameters.

All parameters can be overwritten on the command line, i.e. command-line input has the highest priority. Each argument is parsed as a single YAML line. This usually means that you have to quote each argument:

$<prefix>/bin/Sherpa 'KEYWORD1: value1' 'KEYWORD2: value2' ...  Because each argument is parsed as YAML, you can also specify nested settings, e.g. to disable hard decays (even if it is enabled in the config file) you can write: $ <prefix>/bin/Sherpa 'HARD_DECAYS: {Enabled: false}'


Or you can specify the list of matrix-element generators writing:

$<prefix>/bin/Sherpa 'ME_GENERATORS: [Comix, Amegic]'  Note that we have used flow style here, because block style would require line breaks, which are difficult to deal with on the command line. All over Sherpa, particles are defined by the particle code proposed by the PDG. These codes and the particle properties will be listed during each run with OUTPUT: 2 for the elementary particles and OUTPUT: 4 for the hadrons. In both cases, antiparticles are characterized by a minus sign in front of their code, e.g. a mu- has code 13, while a mu+ has -13. All quantities have to be specified in units of GeV and millimeter. The same units apply to all numbers in the event output (momenta, vertex positions). Scattering cross sections are denoted in pico-barn in the output. There are a few extra features for an easier handling of the parameter file(s), namely global tag replacement, see Tags, and algebra interpretation, see Interpreter. ### 4.1. Interpreter¶ Sherpa has a built-in interpreter for algebraic expressions, like cos(5/180*M_PI). This interpreter is employed when reading integer and floating point numbers from input files, such that certain parameters can be written in a more convenient fashion. For example it is possible to specify the factorisation scale as sqr(91.188). There are predefined tags to alleviate the handling M_PI Ludolph’s Number to a precision of 12 digits. M_C The speed of light in the vacuum. E_CMS The total centre of mass energy of the collision. The expression syntax is in general C-like, except for the extra function sqr, which gives the square of its argument. Operator precedence is the same as in C. The interpreter can handle functions with an arbitrary list of parameters, such as min and max. The interpreter can be employed to construct arbitrary variables from four momenta, like e.g. in the context of a parton level selector, see Selectors. The corresponding functions are Mass(v) The invariant mass of v in GeV. Abs2(v) The invariant mass squared of v in GeV^2. PPerp(v) The transverse momentum of v in GeV. PPerp2(v) The transverse momentum squared of v in GeV^2. MPerp(v) The transverse mass of v in GeV. MPerp2(v) The transverse mass squared of v in GeV^2. Theta(v) The polar angle of v in radians. Eta(v) The pseudorapidity of v. Y(v) The rapidity of v. Phi(v) The azimuthal angle of v in radians. Comp(v,i) The i’th component of the vector v. i = 0 is the energy/time component, i = 1, 2, and 3 are the x, y, and z components. PPerpR(v1,v2) The relative transverse momentum between v1 and v2 in GeV. ThetaR(v1,v2) The relative angle between v1 and v2 in radians. DEta(v1,v2) The pseudo-rapidity difference between v1 and v2. DY(v1,v2) The rapidity difference between v1 and v2. DPhi(v1,v2) The relative polar angle between v1 and v2 in radians. ### 4.2. Tags¶ Tag replacement in Sherpa is performed through the data reading routines, which means that it can be performed for virtually all inputs. Specifying a tag on the command line or in the configuration file using the syntax TAGS: {<Tag>: <Value>} will replace every occurrence of $(<Tag>) in all files during read-in. An example tag definition could read

$<prefix>/bin/Sherpa 'TAGS: {QCUT: 20, NJET: 3}'  and then be used in the configuration file like: RESULT_DIRECTORY: Result_$(QCUT)
PROCESSES:
- 93 93 -> 11 -11 93{$(NJET)}: Order: {QCD: 0, EW: 2} CKKW:$(QCUT)


## 5. Parameters¶

A Sherpa run is steered by various parameters, associated with the different components of event generation. These are set in Sherpa’s configuration file, see Input structure for more details. Tag replacements may be performed in all inputs, see Tags.

### 5.1. General parameters¶

The following parameters describe general run information. See Input structure for how to use them in a configuration file or on the command line.

#### 5.1.1. EVENTS¶

This parameter specifies the number of events to be generated.

It can alternatively be set on the command line through option -e, see Command Line Options.

#### 5.1.2. EVENT_TYPE¶

This parameter specifies the kind of events to be generated. It can alternatively be set on the command line through option -t, see Command Line Options.

• The default event type is StandardPerturbative, which will generate a hard event through exact matrix elements matched and/or merged with the paerton shower, eventually including hadronization, hadron decays, etc..

Alternatively there are two more specialised modes, namely:

• MinimumBias, which generates minimum bias events through the SHRIMPS model implemented in Sherpa, see Minimum bias events

• HadronDecay, which allows to simulate the decays of a specific hadron.

#### 5.1.3. SHERPA_VERSION¶

This parameter ties a config file to a specific Sherpa version, e.g. SHERPA_VERSION: 2.2.0. If two parameters are given they are interpreted as a range of Sherpa versions: SHERPA_VERSION: [2.2.0, 2.2.5] specifies that this config file can be used with any Sherpa version between (and including) 2.2.0 and 2.2.5.

#### 5.1.4. TUNE¶

Warning

This parameter is currently not supported.

#### 5.1.5. OUTPUT¶

This parameter specifies the screen output level (verbosity) of the program. If you are looking for event file output options please refer to section Event output formats.

It can alternatively be set on the command line through option -O, see Command Line Options. A different output level can be specified for the event generation step through EVT_OUTPUT or command line option -o, see Command Line Options

The value can be any sum of the following:

• 0: Error messages (-> always displayed).

• 1: Event display.

• 2: Informational messages during the run.

• 4: Tracking messages (lots of output).

• 8: Debugging messages (even more output).

E.g. OUTPUT=3 would display information, events and errors. Use OUTPUT_PRECISION to set the default output precision (default 6). Note: this may be overriden in specific functions’ output.

For expert users: The output level can be overriden for individual functions, e.g. like this

FUNCTION_OUTPUT:
"void SHERPA::Matrix_Element_Handler::BuildProcesses()": 8
...


where the function signature is given by the value of __PRETTY_FUNCTION__ in the function block. Another expert parameter is EVT_OUTPUT_START, with which the first event affected by EVT_OUTPUT can be specified. This can be useful to generate debugging output only for events affected by a some issue.

#### 5.1.6. LOG_FILE¶

This parameter specifies the log file. If set, the standard output from Sherpa is written to the specified file, but output from child processes is not redirected. This option is particularly useful to produce clean log files when running the code in MPI mode, see MPI parallelization. A file name can alternatively be specified on the command line through option -l, see Command Line Options.

#### 5.1.7. RANDOM_SEED¶

Sherpa uses different random-number generators. The default is the Ran3 generator described in [PTVF07]. Alternatively, a combination of George Marsaglias KISS and SWB [MZ91] can be employed, see this website. The integer-valued seeds of the generators are specified by RANDOM_SEED: [A, .., D]. They can also be set individually using RANDOM_SEED1: A through RANDOM_SEED4: D. The Ran3 generator takes only one argument (in this case, you can simply use RANDOM_SEED: A). This value can also be set using the command line option -R, see Command Line Options.

#### 5.1.8. EVENT_SEED_MODE¶

The tag EVENT_SEED_MODE can be used to enforce the same seeds in different runs of the generator. When set to 1, existing random seed files are read and the seed is set to the next available value in the file before each event. When set to 2, seed files are written to disk. These files are gzip compressed, if Sherpa was compiled with option --enable-gzip. When set to 3, Sherpa uses an internal bookkeeping mechanism to advance to the next predefined seed. No seed files are written out or read in.

#### 5.1.9. ANALYSIS¶

Analysis routines can be switched on or off using the ANALYSIS parameter. The default is no analysis. This parameter can also be specified on the command line using option -a, see Command Line Options.

The following analysis handlers are currently available

Internal
Sherpa’s internal analysis handler.
To use this option, the package must be configured with option --enable-analysis.
An output directory can be specified using ANALYSIS_OUTPUT.
Rivet
The Rivet package, see Rivet Website.
To enable it, Rivet and HepMC have to be installed and Sherpa must be configured
as described in Rivet analyses.
HZTool
The HZTool package, see HZTool Website.
To enable it, HZTool and CERNLIB have to be installed and Sherpa must be configured
as described in HZTool analyses.

Multiple options can also be specified, e.g. ANALYSIS: [Internal, Rivet].

#### 5.1.10. ANALYSIS_OUTPUT¶

Name of the directory for histogram files when using the internal analysis and name of the Yoda file when using Rivet, see ANALYSIS. The directory/file will be created w.r.t. the working directory. The default value is Analysis/. This parameter can also be specified on the command line using option -A, see Command Line Options.

#### 5.1.11. TIMEOUT¶

A run time limitation can be given in user CPU seconds through TIMEOUT. This option is of some relevance when running SHERPA on a batch system. Since in many cases jobs are just terminated, this allows to interrupt a run, to store all relevant information and to restart it without any loss. This is particularly useful when carrying out long integrations. Alternatively, setting the TIMEOUT variable to -1, which is the default setting, translates into having no run time limitation at all. The unit is seconds.

#### 5.1.12. RLIMIT_AS¶

A memory limitation can be given to prevent Sherpa to crash the system it is running on as it continues to build up matrix elements and loads additional libraries at run time. Per default the maximum RAM of the system is determined and set as the memory limit. This can be changed by giving RLIMIT_AS: where the size is given as e.g. 500 MB, 4 GB, or 10 %. When running with MPI parallelization it might be necessary to divide the total maximum by the number of cores. This can be done by setting RLIMIT_BY_CPU: true.

Sherpa checks for memory leaks during integration and event generation. If the allocated memory after start of integration or event generation exceeds the parameter MEMLEAK_WARNING_THRESHOLD, a warning is printed. Like RLIMIT_AS, MEMLEAK_WARNING_THRESHOLD can be set using units. The warning threshold defaults to 16MB.

#### 5.1.13. BATCH_MODE¶

Whether or not to run Sherpa in batch mode. The default is 1, meaning Sherpa does not attempt to save runtime information when catching a signal or an exception. On the contrary, if option 0 is used, Sherpa will store potential integration information and analysis results, once the run is terminated abnormally. All possible settings are:

0

Sherpa attempts to write out integration and analysis results when catching an exception.

1

Sherpa does not attempt to write out integration and analysis results when catching an exception.

2

Sherpa outputs the event counter continously, instead of overwriting the previous one (default when using LOG_FILE).

4

Sherpa increases the on-screen event counter in constant steps of 100 instead of an increase relative to the current event number. The interval length can be adjusted with EVENT_DISPLAY_INTERVAL.

8

Sherpa prints the name of the hard process for the last event at each print out.

16

Sherpa prints the elapsed time and time left in seconds only.

The settings are additive such that multiple settings can be employed at the same time.

Note

When running the code on a cluster or in a grid environment, BATCH_MODE should always contain setting 1 (i.e. BATCH_MODE: 1 or 3 or 5 etc.).

The command line option -b should therefore not be used in this case, see Command Line Options.

#### 5.1.14. NUM_ACCURACY¶

The targeted numerical accuracy can be specified through NUM_ACCURACY, e.g. for comparing two numbers. This might have to be reduced if gauge tests fail for numerical reasons. The default is 1E-10.

The path in which Sherpa will eventually store dynamically created C++ source code. If not specified otherwise, sets SHERPA_LIB_PATH to $SHERPA_CPP_PATH/Process/lib. This value can also be set using the command line option -L, see Command Line Options. Both settings can also be set using environment variables. #### 5.1.16. SHERPA_LIB_PATH¶ The path in which Sherpa looks for dynamically linked libraries from previously created C++ source code, cf. SHERPA_CPP_PATH. #### 5.1.17. Event output formats¶ Sherpa provides the possibility to output events in various formats, e.g. the HepEVT common block structure or the HepMC format. The authors of Sherpa assume that the user is sufficiently acquainted with these formats when selecting them. If the events are to be written to file, the parameter EVENT_OUTPUT must be specified together with a file name. An example would be EVENT_OUTPUT: HepMC_GenEvent[MyFile], where MyFile stands for the desired file base name. More than one output can also be specified: EVENT_OUTPUT: - HepMC_GenEvent[MyFile] - Root[MyFile]  The following formats are currently available: HepMC_GenEvent Generates output in HepMC::IO_GenEvent format. The HepMC::GenEvent::m_weights weight vector stores the following items: [0] event weight, [1] combined matrix element and PDF weight (missing only phase space weight information, thus directly suitable for evaluating the matrix element value of the given configuration), [2] event weight normalisation (in case of unweighted events event weights of ~ +/-1 can be obtained by (event weight)/(event weight normalisation)), and [3] number of trials. The total cross section of the simulated event sample can be computed as the sum of event weights divided by the sum of the number of trials. This value must agree with the total cross section quoted by Sherpa at the end of the event generation run, and it can serve as a cross-check on the consistency of the HepMC event file. Note that Sherpa conforms to the Les Houches 2013 suggestion (http://phystev.in2p3.fr/wiki/2013:groups:tools:hepmc) of indicating interaction types through the GenVertex type-flag. Multiple event weights can also be enabled with HepMC versions >=2.06, cf. On-the-fly event weight variations. The following additional customisations can be used HEPMC_USE_NAMED_WEIGHTS: <true|false> Enable filling weights with an associated name. The nominal event weight has the key Weight. MEWeight, WeightNormalisation and NTrials provide additional information for each event as described above. Needs HepMC version >=2.06. HEPMC_EXTENDED_WEIGHTS: <false|true> Write additional event weight information needed for a posteriori reweighting into the WeightContainer, cf. A posteriori scale and PDF variations using the HepMC GenEvent Output. Necessitates the use of HEPMC_USE_NAMED_WEIGHTS. HEPMC_TREE_LIKE: <false|true> Force the event record to be stricly tree-like. Please note that this removes some information from the matrix-element-parton-shower interplay which would be otherwise stored. Requires --enable-hepmc2=<path/to/hepmc2>. HepMC_Short Generates output in HepMC::IO_GenEvent format, however, only incoming beams and outgoing particles are stored. Intermediate and decayed particles are not listed. The event weights stored as the same as above, and HEPMC_USE_NAMED_WEIGHTS and HEPMC_EXTENDED_WEIGHTS can be used to customise. Requires --enable-hepmc2=<path/to/hepmc2>. HepMC3_GenEvent Generates output using HepMC3 library. The format of the output is set with HEPMC3_IO_TYPE: <0|1|2|3|4> tag. The default value is 0 and corresponds to ASCII GenEvent. Other available options are 1: HepEvt 2: ROOT file with every event written as an object of class GenEvent. 3: ROOT file with GenEvent objects writen into TTree. Otherwise similar to HepMC_GenEvent. Requires --enable-hepmc3=<path/to/hepmc3>. Delphes_GenEvent Generates output in Root format, which can be passed to Delphes for analyses. Input events are taken from the HepMC interface. Storage space can be reduced by up to 50% compared to gzip compressed HepMC. This output format is available only if Sherpa was configured and installed with options --enable-root and --enable-delphes=/path/to/delphes. Delphes_Short Generates output in Root format, which can be passed to Delphes for analyses. Only incoming beams and outgoing particles are stored. PGS Generates output in StdHEP format, which can be passed to PGS for analyses. This output format is available only if Sherpa was configured and installed with options --enable-hepevtsize=4000 and --enable-pgs=/path/to/pgs. Please refer to the PGS documentation for how to pass StdHEP event files on to PGS. If you are using the LHC olympics executeable, you may run ./olympics --stdhep events.lhe <other options>. PGS_Weighted Generates output in StdHEP format, which can be passed to PGS for analyses. Event weights in the HEPEV4 common block are stored in the event file. HEPEVT Generates output in HepEvt format. LHEF Generates output in Les Houches Event File format. This output format is intended for output of matrix element configurations only. Since the format requires PDF information to be written out in the outdated PDFLIB/LHAGLUE enumeration format this is only available automatically if LHAPDF is used, the identification numbers otherwise have to be given explicitly via LHEF_PDF_NUMBER (LHEF_PDF_NUMBER_1 and LHEF_PDF_NUMBER_2 if both beams carry different structure functions). This format currently outputs matrix element information only, no information about the large-Nc colour flow is given as the LHEF output format is not suited to communicate enough information for meaningful parton showering on top of multiparton final states. Root Generates output in ROOT ntuple format for NLO event generation only. For details on the ntuple format, see A posteriori scale and PDF variations using the ROOT NTuple Output. This output option is available only if Sherpa was linked to ROOT during installation by using the configure option --enable-root=/path/to/root. ROOT ntuples can be read back into Sherpa and analyzed using the option EVENT_INPUT. This feature is described in Production of NTuples. The output can be further customized using the following options: FILE_SIZE Number of events per file (default: unlimited). EVENT_FILE_PATH Directory where the files will be stored. EVENT_OUTPUT_PRECISION Steers the precision of all numbers written to file (default: 12). For all output formats except ROOT and Delphes, events can be written directly to gzipped files instead of plain text. The option --enable-gzip must be given during installation to enable this feature. #### 5.1.18. On-the-fly event weight variations¶ Sherpa can compute alternative event weights on-the-fly, resulting in alternative weights for the generated event. An important example is the variation of QCD scales and input PDF. There are also on-the-fly variations for approximate electroweak corrections, this is discussed in its own section, Approximate Electroweak Corrections. There are two ways to specify scale and PDF variations. Either using the unified VARIATIONS list, and/or by using the specialised SCALE_VARIATIONS and PDF_VARIATIONS, and QCUT_VARIATIONS lists. Only the VARIATIONS list allows to specify correlated variations (i.e. varying both scales and PDFs at the same time), but it is more verbose and therefore harder to remember. Therefore, we suggest to use the more specialised variants whenever uncorrelated variations are required. They are evoked using the following syntax: SCALE_VARIATIONS: - [<muF2-fac-1>, <muR2-fac-1>] - [<muF2-fac-2>, <muR2-fac-2>] - <mu2-fac-3> PDF_VARIATIONS: - <PDF-1> - <PDF-2> QCUT_VARIATIONS: - <qcut-fac-1> - <qcut-fac-2>  This example specifies a total of seven on-the-fly variations. Scale factors in SCALE_VARIATIONS can be given as a list of two numbers, or as a single number. When two numbers are given, they are applied to the factorisation and the renomalisation scale, respectively. If only a single number is given, it is applied to both scales at the same time. The factors for the renormalisation and factorisation scales must be given in their quadratic form, i.e. a “4.0” in the settings means that the (unsquared) scale is to be multiplied by a factor of 2.0. For the PDF_VARIATIONS, any set present in any of the PDF library interfaces loaded through PDF_LIBRARY can be used. If no PDF set is given it defaults to the nominal one. Specific PDF members can be specified by appending the PDF set name with /<member-id>. It can be painful to write every variation explicitly, e.g. for 7-point scale factor variations or if one want variations for all members of a PDF set. Therefore an asterisk can be appended to some values, which results in an expansion. For PDF sets, this means that the variation is repeated for each member of that set. For scale factors, 4.0* is expanded to itself, unity, and its inverse: 1.0/4.0, 1.0, 4.0. A special meaning is reserved for specifying a single number 4.0* as a SCALE_VARIATIONS list item, which expands to a 7-point scale variation: SCALE_VARIATION: - 4.0*  is therefore equivalent to SCALE_VARIATIONS: - [0.25, 0.25] - [0.25, 1.00] - [1.00, 0.25] - [1.00, 1.00] - [4.00, 1.00] - [1.00, 4.00] - [4.00, 4.00]  Equivalently, one can even just write SCALE_VARIATIONS: 4.0*, because a single scalar on the right-hand side will automatically be interpreted as the first item of a list when the setting expects a list. Such expansions may include trivial scale variations and the central PDF set, resulting in the specification of a completely trivial variation, which would just repeat the nominal calculation. Per default, these trivial variations are automically omitted during the calculation, since the nominal calculation is anyway included in the Sherpa output. If required (e.g. for debugging), this filtering can be explicitly disabled using VARIATIONS_INCLUDE_CV: true. We now discuss the alternative VARIATIONS syntax. The following snippet specifies two on-the-fly variations, where scales and PDFs are varied simultaneously: VARIATIONS: - ScaleFactors: MuR2: <muR2-fac-1> MuF2: <muF2-fac-1> QCUT: <qcut-fac-1> PDF: <PDF-1> - ScaleFactors: MuR2: <muR2-fac-2> MuF2: <muF2-fac-2> QCUT: <qcut-fac-2> PDF: <PDF-2> ...  The key word VARIATIONS takes a list of variations. Each variation is specified by a set of scale factors, and a PDF choice (or AlphaS(MZ) choice, see below). Scale factors can be given for the renormalisation, factorisation and for the merging scale. The corresponding keys are MuR2, MuF2 and QCUT, respectively. The factors for the renormalisation and factorisation scales must be given in their quadratic form, i.e. a MUR2: 4.0 means that the (unsquared) renormalisation scale is to be multiplied by a factor of 2.0. All scale factors can be omitted (they default to 1.0). Instead of MuR2 and MuF2, one can also use the keyword Mu2. In this case, the given factor is applied to both the renormalisation and the factorisation scale. Instead of using PDF: <PDF> (which consistently also varies the strong coupling if the PDF has a different specification of it!), one can also specify a pure AlphaS variation by giving its value at the Z mass scale: AlphaS(MZ): <alphas(mz)-value>. This can be useful e.g. for leptonic productions, and is currently exclusive to the VARIATIONS syntax. Also VARIATIONS can expand values using the star syntax: VARIATIONS: - ScaleFactors: Mu2: 4.0*  is therefore equivalent to VARIATIONS: - ScaleFactors: MuF2: 0.25 MuR2: 0.25 - ScaleFactors: MuF2: 1.0 MuR2: 0.25 - ScaleFactors: MuF2: 0.25 MuR2: 1.0 - ScaleFactors: MuF2: 1.0 MuR2: 1.0 - ScaleFactors: MuF2: 4.0 MuR2: 1.0 - ScaleFactors: MuF2: 1.0 MuR2: 4.0 - ScaleFactors: MuF2: 4.0 MuR2: 4.0  As another example, a complete variation using the PDF4LHC convention would read VARIATIONS: - ScaleFactors: Mu2: 4.0* - PDF: CT10nlo* - PDF: MMHT2014nlo68cl* - PDF: NNPDF30_nlo_as_0118*  Please note, this syntax will create $$6+52+50+100=208$$ additional weights for each event. Even though reweighting is used to reduce the amount of additional calculation as far as possible, this can still necessitate a considerable amount of additional CPU hours, in particular when parton-shower reweighting is enabled (see below). The rest of this section applies to both the combined VARIATIONS and the individual SCALE_VARIATIONS etc. syntaxes. The total cross section for all variations along with the nominal cross section are written to the standard output after the event generation has finalized. Additionally, some event output (see Event output formats) and analysis methods (see ANALYSIS) are able to process alternate event weights. Currently, the supported event output methods are HepMC_GenEvent and HepMC_Short (when configured with HepMC version 2.06 or later), and HepMC3_GenEvent (when configured with HepMC version 3 or later). The supported analysis methods are Rivet and Internal. The alternative event weight names follow the MC naming convention, i.e. they are named MUR=<fac>__MUF=<fac>__LHAPDF=<id>. When using Sherpa’s interface to Rivet 2, Rivet analyses, separate instances of Rivet, one for each alternative event weight in addition to the nominal one, are instantiated leading to one set of histograms each. They are again named using the MUR=<fac>__MUF=<fac>__LHAPDF=<id> convention. For Rivet 3, the internal multi-weight handling capabilities are used instead, such that there are no alternate histogram files, just one containing histograms for all variations. Extending the naming convention, for pure strong coupling variations, an additional tag ASMZ=<val> is appended. Another set of tags is appended if shower scale variations are enabled, then giving PS:MUR=<fac>__PS:MUF=<fac>. The user must also be aware that, of course, the cross section of the event sample, changes when using an alternative event weight as compared to the nominal one. Any histogramming therefore has to account for this and recompute the total cross section as the sum of weights divided by the number of trials, cf. Cross section determination. For HepMC 3, Sherpa writes alternate cross sections directly to the GenCrossSection entry of the event record, such that no manual intervention is required (as long as the correct cross section variation is picked in downstream processing steps). The on-the-fly reweighting works for all event generation modes (weighted or (partially) unweighted) and all calculation types (LO, LOPS, NLO, NLOPS, NNLO, NNLOPS, MEPS@LO, MEPS@NLO and MENLOPS). By default, the reweighting of parton shower emissions is included in the variations. It can be disabled explicitly, using CSS_REWEIGHT: false. This should work out of the box for all types of variations. However, parton-shower reweighting (even though formally exact), tends to be numerically less stable than the reweighting of the hard process. If numerical issues are encountered, one can try to increase CSS_REWEIGHT_SCALE_CUTOFF (default: 5, measured in GeV). This disables shower variations for emissions at scales below the value. An additional safeguard against rare spuriously large shower variation weights is implemented as CSS_MAX_REWEIGHT_FACTOR (default: 1e3). Any variation weights accumulated during an event and larger than this factor will be ignored and reset to 1. ME-only variations are included along with the full variations in the HepMC/Rivet output by default. They can be disabled, e.g. when not using CSS_REWEIGHT: false, using OUTPUT_ME_ONLY_VARIATIONS: false. The extra weight names then include a “ME” as part of the keys to indicate that only the ME part of the calculation has been varied, e.g. ME:MUR=<fac>__ME:MUF=<fac>__ME:LHAPDF=<id>. #### 5.1.19. MPI parallelization¶ MPI parallelization in Sherpa can be enabled using the configuration option --enable-mpi. Sherpa supports OpenMPI and MPICH2 . For detailed instructions on how to run a parallel program, please refer to the documentation of your local cluster resources or the many excellent introductions on the internet. MPI parallelization is mainly intended to speed up the integration process, as event generation can be parallelized trivially by starting multiple instances of Sherpa with different random seed, cf. RANDOM_SEED. However, both the internal analysis module and the Root NTuple writeout can be used with MPI. Note that these require substantial data transfer. Please note that the process information contained in the Process directory for both Amegic and Comix needs to be generated without MPI parallelization first. Therefore, first run $ Sherpa INIT_ONLY=1 <Sherpa.yaml>


and, in case of using Amegic, compile the libraries. Then start your parallized integration, e.g.

$mpirun -n <n> Sherpa -e 0 <Sherpa.yaml>  After the integration has finished, you can submit individual jobs to generate event samples (with a different random seed for each job). Upon completion, the results can be merged. ### 5.2. Beam parameters¶ Mandatory settings to set up the colliding particle beams are • The initial beam particles specified through BEAMS, given by their PDG particle number. For (anti)protons and (positrons) electrons, for example, these are given by $$(-)2212$$ or $$(-)11$$, respectively. The code for photons is 22. If you provide a single particle number, both beams will consist of that particle type. If the beams consist of different particles, a list of two values have to be provided. • The energies of both incoming beams are defined through BEAM_ENERGIES, given in units of GeV. Again, single values apply to both beams, whereas a list of two values have to be given when the two beams do not have the same energy. Examples would be # LHC BEAMS: 2212 BEAM_ENERGIES: 7000 # HERA BEAMS: [-11, 2212] BEAM_ENERGIES: [27.5, 820]  More options related to beamstrahlung and intrinsic transverse momentum can be found in the following subsections. #### 5.2.1. Beam Spectra¶ If desired, you can also specify spectra for beamstrahlung through BEAM_SPECTRA. The possible values are Monochromatic The beam energy is unaltered and the beam particles remain unchanged. That is the default and corresponds to ordinary hadron-hadron or lepton-lepton collisions. Laser_Backscattering This can be used to describe the backscattering of a laser beam off initial leptons. The energy distribution of the emerging photon beams is modelled by the CompAZ parametrization, see [Zar03]. Note that this parametrization is valid only for the proposed TESLA photon collider, as various assumptions about the laser parameters and the initial lepton beam energy have been made. See details below. Simple_Compton This corresponds to a simple light backscattering off the initial lepton beam and produces initial-state photons with a corresponding energy spectrum. See details below. EPA This enables the equivalent photon approximation for colliding protons, see [AGH+08]. The resulting beam particles are photons that follow a dipole form factor parametrization, cf. [BGMS74]. The authors would like to thank T. Pierzchala for his help in implementing and testing the corresponding code. See details below. Spectrum_Reader A user defined spectrum is used to describe the energy spectrum of the assumed new beam particles. The name of the corresponding spectrum file needs to be given through the keywords SPECTRUM_FILES. The BEAM_SMIN and BEAM_SMAX parameters may be used to specify the minimum/maximum fraction of cms energy squared after Beamstrahlung. The reference value is the total centre of mass energy squared of the collision, not the centre of mass energy after eventual Beamstrahlung. The parameter can be specified using the internal interpreter, see Interpreter, e.g. as BEAM_SMIN: sqr(20/E_CMS). ##### 5.2.1.1. Laser Backscattering¶ The energy distribution of the photon beams is modelled by the CompAZ parametrisation, see [Zar03], with various assumptions valid only for the proposed TESLA photon collider. The laser energies can be set by E_LASER. P_LASER sets their polarisations, defaulting to 0.. Both settings can either be set to a single value, applying to both beams, or to a list of two values, one for each beam. The LASER_MODE takes the values -1, 0, and 1, defaulting to 0. LASER_ANGLES and LASER_NONLINEARITY can be set to true or to false (default). ##### 5.2.1.2. Simple Compton¶ This corresponds to a simple light backscattering off the initial lepton beam and produces initial-state photons with a corresponding energy spectrum. It is a special case of the above Laser Backscattering with LASER_MODE: -1. ##### 5.2.1.3. EPA¶ The equivalent photon approximation, cf. [AGH+08], [BGMS74], has a few free parameters: EPA_q2Max Parameter of the EPA spectra of the two beams, defaults to 2. in units of GeV squared. EPA_Theta_max Parameter of the EPA spectrum of an electron beam, c.f. hep-ph/9310350. Describes the maximum angle of the electron deflection, which translates to the maximum virtuality in the photon spectrum. It defaults to 0.3. EPA_Xmin Restricts the phase space by imposing a minimum energy fraction that the photon must have with respect to the beam energy. Its default value is 0. EPA_LO In Sherpa version 3, a more accurate EPA weight for electron beams was used, as described in hep-ph/9610406 and hep-ph/9310350. By default, Sherpa uses the higher-order version of the formula, if you would like to use the previous version, set this switch to true. EPA_ptMin Infrared regulator to the EPA beam spectra. Given in GeV, the value must be between 0. and 1. for EPA approximation to hold. Defaults to 0., i.e. the spectrum has to be regulated by cuts on the observable, cf Selectors. EPA_Form_Factor Form factor model to be used on the beams. The options are 0 (pointlike), 1 (homogeneously charged sphere, 2 (gaussian shaped nucleus), and 3 (homogeneously charged sphere, smoothed at low and high x). Applicable only to heavy ion beams. Defaults to 0. EPA_AlphaQED Value of alphaQED to be used in the EPA. Defaults to 0.0072992701. EPA_q2Max, EPA_ptMin, EPA_Form_Factor, EPA_Xmin can either be set to single values that are then applied to both beams, or to a list of two values, for the respective beams. #### 5.2.2. Intrinsic Transverse Momentum¶ The intrinsic transverse momentum of the colliding particles can be set by subsettings of the INTRINSIC_KPERP setting: INTRINSIC_KPERP: Parameter_1: <value_1> Parameter_2: <value_2> ...  The possible parameters and their defaults are ENABLED (default: true) Setting this to false disables the intrinsic transverse momentum altogether. SCHEME (default for protons: 0) This parameter specifies the scheme to calculate the intrinsic transverse momentum of the beams in case of hadronic beams, such as protons. MEAN (default: 1.1) This parameter specifies the mean intrinsic transverse momentum in GeV for the beams in case of hadronic beams, such as protons. If two values are provided, the intrinsic momenta means of the two beams are set to these two values, respectively. SIGMA (default: 0.85) This parameter specifies the width of the Gaussian distribution in GeV of the intrinsic transverse momenta for the beams in case of hadronic beams, such as protons. If two values are provided, the intrinsic momenta widths of the two beams are set to these two values, respectively. EXP (default: 0.55) This parameter specifies the energy extrapolation exponent of the width of the Gaussian distribution of intrinsic transverse momentum for the beams in case of hadronic beams, such as protons. If two values are provided, the exponents for each of the two beams are set to these two values, respectively. EREF (default: 7000) This parameter specifies the reference scale in GeV in the energy extrapolation of the width of the Gaussian distribution of intrinsic transverse momentum for the beams in case of hadronic beams, such as protons. If two values are provided, the reference scales for each of the two beams are set to these two values, respectively. If the option BEAM_REMNANTS: false is specified, pure parton-level events are simulated, i.e. no beam remnants are generated. Accordingly, partons entering the hard scattering process do not acquire primordial transverse momentum. ### 5.3. ISR parameters¶ The following parameters are used to steer the setup of beam substructure and initial state radiation (ISR). BUNCHES Specify the PDG ID of the first (left) and second (right) bunch particle (or both if only one value is provided), i.e. the particle after eventual Beamstrahlung specified through the beam parameters, see Beam parameters. Per default these are taken to be identical to the values set using BEAMS, assuming the default beam spectrum is Monochromatic. In case the Simple Compton or Laser Backscattering spectra are enabled the bunch particles would have to be set to 22, the PDG code of the photon. ISR_SMIN/ISR_SMAX This parameter specifies the minimum fraction of cms energy squared after ISR. The reference value is the total centre of mass energy squared of the collision, not the centre of mass energy after eventual Beamstrahlung. The parameter can be specified using the internal interpreter, see Interpreter, e.g. as ISR_SMIN: sqr(20/E_CMS). Sherpa provides access to a variety of structure functions. They can be configured with the following parameters. PDF_LIBRARY This parameter takes the list of PDF interfaces to load. The following options are distributed with Sherpa: LHAPDFSherpa Use PDF’s from LHAPDF [B+11]. CT14Sherpa Built-in library for some PDF sets from the CTEQ collaboration, cf. [D+]. This is the default. CT12Sherpa Built-in library for some PDF sets from the CTEQ collaboration, cf. [GGH+]. CT10Sherpa Built-in library for some PDF sets from the CTEQ collaboration, cf. [LGH+10]. CTEQ6Sherpa Built-in library for some PDF sets from the CTEQ collaboration, cf. [N+08]. NNPDF30Sherpa Built-in library for PDF sets from the NNPDF group, cf. [B+]. MSTW08Sherpa Built-in library for PDF sets from the MSTW group, cf. [MSTW09]. MRST04QEDSherpa Built-in library for photon PDF sets from the MRST group, cf. [MRST05]. MRST01LOSherpa Built-in library for the 2001 leading-order PDF set from the MRST group, cf. [MRST02]. MRST99Sherpa Built-in library for the 1999 PDF sets from the MRST group, cf. [MRST00]. GRVSherpa Built-in library for the GRV photon PDF [GRV92b], [GRV92a]. GRSSherpa Built-in library for the GRS photon PDF [GRS99]. SALSherpa Built-in library for the SAL photon PDF [SAL06]. SASGSherpa Built-in library for the SaSgam photon PDF [SS95], [SS96]. PDFESherpa Built-in library for the electron structure function. The perturbative order of the fine structure constant can be set using the parameter ISR_E_ORDER (default: 1). The switch ISR_E_SCHEME allows to set the scheme of respecting non-leading terms. Possible options are 0 (“mixed choice”), 1 (“eta choice”), or 2 (“beta choice”, default). None No PDF. Fixed beam energy. Furthermore it is simple to build an external interface to an arbitrary PDF and load that dynamically in the Sherpa run. See External PDF for instructions. PDF_SET Specifies the PDF set for hadronic bunch particles. All sets available in the chosen PDF_LIBRARY can be figured by running Sherpa with the parameter SHOW_PDF_SETS: 1, e.g.: $ Sherpa 'PDF_LIBRARY: CTEQ6Sherpa' 'SHOW_PDF_SETS: 1'


If the two colliding beams are of different type, e.g. protons and electrons or photons and electrons, it is possible to specify two different PDF sets by providing two values: PDF_SET: [pdf1, pdf2]. The special value Default can be used as a placeholder for letting Sherpa choose the appropriate PDF set (or none).

PDF_SET_VERSIONS

This parameter allows to select a specific version (member) within the chosen PDF set. It is possible to specify two different PDF sets using PDF_SET_VERSIONS: [version1, version2]

See On-the-fly event weight variations to find out how to vary PDF sets and version on-the-fly, both in the matrix element and in the parton shower.

### 5.4. Models¶

The main switch MODEL sets the model that Sherpa uses throughout the simulation run. The default is SM, the built-in Standard Model implementation of Sherpa. For BSM simulations, Sherpa offers an option to use the Universal FeynRules Output Format (UFO) [DDF+12].

Please note: AMEGIC can only be used for the built-in models (SM and HEFT). For anything else, please use Comix.

#### 5.4.1. Built-in Models¶

##### 5.4.1.1. Standard Model¶

The SM inputs for the electroweak sector can be given in nine different schemes, that correspond to different choices of which SM physics parameters are considered fixed and which are derived from the given quantities. The electro-weak coupling is by default fixed, unless its running has been enabled (cf. COUPLINGS). The input schemes are selected through the EW_SCHEME parameter, whose default is Gmu. The following options are provided:

UserDefined

All EW parameters are explicitly given: Here the W, Z and Higgs masses and widths are taken as inputs, and the parameters 1/ALPHAQED(0), ALPHAQED_DEFAULT_SCALE, SIN2THETAW (weak mixing angle), VEV (Higgs field vacuum expectation value) and LAMBDA (Higgs quartic coupling) have to be specified.

By default, ALPHAQED_DEFAULT_SCALE: 8315.18 ($$=m_Z^2$$), which means that the MEs are evaluated with a value of $$\alpha=\frac{1}{128.802}$$.

Note that this mode allows to violate the tree-level relations between some of the parameters and might thus lead to gauge violations in some regions of phase space.

alpha0

All EW parameters are calculated from the W, Z and Higgs masses and widths and the fine structure constant (taken from 1/ALPHAQED(0) + ALPHAQED_DEFAULT_SCALE, cf. below) using tree-level relations.

By default, ALPHAQED_DEFAULT_SCALE: 0.0, which means that the MEs are evaluated with a value of $$\alpha=\frac{1}{137.03599976}$$.

alphamZ

All EW parameters are calculated from the W, Z and Higgs masses and widths and the fine structure constant (taken from 1/ALPHAQED(MZ), default 128.802) using tree-level relations.

Gmu

This choice corresponds to the G_mu-scheme. The EW parameters are calculated out of the weak gauge boson masses M_W, M_Z, the Higgs boson mass M_H, their respective widths, and the Fermi constant GF using tree-level relations.

alphamZsW

All EW parameters are calculated from the Z and Higgs masses and widths, the fine structure constant (taken from 1/ALPHAQED(MZ), default 128.802), and the weak mixing angle (SIN2THETAW) using tree-level relations. In particular, the W boson mass (and in the complex mass scheme also its width) is a derived quantity.

alphamWsW

All EW parameters are calculated from the W and Higgs masses and widths, the fine structure constant (taken from 1/ALPHAQED(MW), default 132.17), and the weak mixing angle (SIN2THETAW) using tree-level relations. In particular, the Z boson mass (and in the complex mass scheme also its width) is a derived quantity.

GmumZsW

All EW parameters are calculated from the Z and Higgs masses and widths, the Fermi constant (GF), and the weak mixing angle (SIN2THETAW) using tree-level relations. In particular, the W boson mass (and in the complex mass scheme also its width) is a derived quantity.

GmumWsW

All EW parameters are calculated from the W and Higgs masses and widths, the Fermi constant (GF), and the weak mixing angle (SIN2THETAW) using tree-level relations. In particular, the Z boson mass (and in the complex mass scheme also its width) is a derived quantity.

FeynRules

This choice corresponds to the scheme employed in the FeynRules/UFO setup. The EW parameters are calculated out of the Z boson mass M_Z, the Higgs boson mass M_H, the Fermi constant GF and the fine structure constant (taken from 1/ALPHAQED(0) + ALPHAQED_DEFAULT_SCALE, cf. below) using tree-level relations. Note, the W boson mass is not an input parameter in this scheme.

All Gmu-derived schemes, where the EW coupling is a derived quantity, possess an ambiguity on how to construct a real EW coupling in the complex mass scheme. Several conventions are implemented and can be accessed through GMU_CMS_AQED_CONVENTION.

To account for quark mixing the CKM matrix elements have to be assigned. For this purpose the Wolfenstein parametrization [Wol83] is employed. The order of expansion in the lambda parameter is defined through

CKM:
Order: <order>
# other CKM settings ...


The default for Order is 0, corresponding to a unit matrix. The parameter convention for higher expansion terms reads:

• Order: 1, the Cabibbo subsetting has to be set, it parametrizes lambda and has the default value 0.22537.

• Order: 2, in addition the value of CKM_A has to be set, its default is 0.814.

• Order: 3, the order lambda^3 expansion, Eta and Rho have to be specified. Their default values are 0.353 and 0.117, respectively.

The CKM matrix elements V_ij can also be read in using

CKM:
Matrix_Elements:
i,j: <V_ij>
# other CKM matrix elements ...
# other CKM settings ...


Complex values can be given by providing two values: <V_ij> -> [Re, Im]. Values not explicitly given are taken from the afore computed Wolfenstein parametrisation. Setting CKM: {Output: true} enables an output of the CKM matrix.

The remaining parameter to fully specify the Standard Model is the strong coupling constant at the Z-pole, given through ALPHAS(MZ). Its default value is 0.118. If the setup at hand involves hadron collisions and thus PDFs, the value of the strong coupling constant is automatically set consistent with the PDF fit and can not be changed by the user. Since Sherpa is compiled with LHAPDF support, it is also possible to use the alphaS evolution provided in LHAPDF by specifying ALPHAS: {USE_PDF: 1}. The perturbative order of the running of the strong coupling can be set via ORDER_ALPHAS, where the default 0 corresponds to one-loop running and 1, 2, 3 to 2,3,4-loops, respectively. If the setup at hand involves PDFs, this parameter is set consistent with the information provided by the PDF set.

If unstable particles (e.g. W/Z bosons) appear as intermediate propagators in the process, Sherpa uses the complex mass scheme to construct MEs in a gauge-invariant way. For full consistency with this scheme, by default the dependent EW parameters are also calculated from the complex masses (WIDTH_SCHEME: CMS), yielding complex values e.g. for the weak mixing angle. To keep the parameters real one can set WIDTH_SCHEME: Fixed. This may spoil gauge invariance though.

With the following switches it is possible to change the properties of all fundamental particles:

PARTICLE_DATA:
<id>:
<Property>: <value>
# other properties for this particle ...
# data for other particles


Here, <id> is the PDG ID of the particle for which one more properties are to be modified. <Property> can be one of the following:

Mass

Sets the mass (in GeV) of the particle.

Masses of particles and corresponding anti-particles are always set simultaneously.

For particles with Yukawa couplings, those are enabled/disabled consistent with the mass (taking into account the Massive parameter) by default, but that can be modified using the Yukawa parameter. Note that by default the Yukawa couplings are treated as running, cf. YUKAWA_MASSES.

Massive

Specifies whether the finite mass of the particle is to be considered in matrix-element calculations or not. Can be true or false.

Width

Sets the width (in GeV) of the particle.

Active

Enables/disables the particle with PDG id <id>. Can be true or false.

Stable

Sets the particle either stable or unstable according to the following options:

0

Particle and anti-particle are unstable

1

Particle and anti-particle are stable

2

Particle is stable, anti-particle is unstable

3

Particle is unstable, anti-particle is stable

This option applies to decays of hadrons (cf. Hadron decays) as well as particles produced in the hard scattering (cf. Hard decays). For the latter, alternatively the decays can be specified explicitly in the process setup (see Processes) to avoid the narrow-width approximation.

Priority

Allows to overwrite the default automatic flavour sorting in a process by specifying a priority for the given flavour. This way one can identify certain particles which are part of a container (e.g. massless b-quarks), such that their position can be used reliably in selectors and scale setters.

Note

PARTICLE_DATA can also be used to the properties of hadrons, you can use the same switches (except for Massive), see Hadronization.

##### 5.4.1.2. Effective Higgs Couplings¶

The HEFT describes the effective coupling of gluons and photons to Higgs bosons via a top-quark loop, and a W-boson loop in case of photons. This supplement to the Standard Model can be invoked by configuring MODEL: HEFT.

The effective coupling of gluons to the Higgs boson, g_ggH, can be calculated either for a finite top-quark mass or in the limit of an infinitely heavy top using the switch FINITE_TOP_MASS: true or FINITE_TOP_MASS: false, respectively. Similarily, the photon-photon-Higgs coupling, g_ppH, can be calculated both for finite top and/or W masses or in the infinite mass limit using the switches FINITE_TOP_MASS and FINITE_W_MASS. The default choice for both is the infinite mass limit in either case. Note that these switches affect only the calculation of the value of the effective coupling constants. Please refer to the example setup H+jets production in gluon fusion with finite top mass effects for information on how to include finite top quark mass effects on a differential level.

Either one of these couplings can be switched off using the DEACTIVATE_GGH: true and DEACTIVATE_PPH: true switches. Both default to false.

#### 5.4.2. UFO Model Interface¶

To use a model generated by the FeynRules package [CD09],:cite:Christensen2009jx, the model must be made available to Sherpa by running

$<prefix>/bin/Sherpa-generate-model <path-to-ufo-model>  where <path-to-ufo-model> specifies the location of the directory where the UFO model can be found. UFO support must be enabled using the --enable-ufo option of the configure script, as described in Installation. This requires Python version 2.6 or later and an installation of SCons. The above command generates source code for the UFO model, compiles it, and installs the corresponding library, making it available for event generation. Python, SCons, and the UFO model directory are not required for event generation once the above command has finished. Note that the installation directory for the created library and the paths to Sherpa libraries and headers are predetermined automatically durin the installation of Sherpa. If the Sherpa installation is moved afterwards or if the user does not have the necessary permissions to install the new library in the predetermined location, these paths can be set manually. Please run $ <prefix>/bin/Sherpa-generate-model --help


for information on the relevan command line arguments.

An example configuration file will be written to the working directory while the model is generated with Sherpa-generate-model. This config file shows the syntax for the respective model parameters and can be used as a template. It is also possible to use an external parameter file by specifying the path to the file with the switch UFO_PARAM_CARD in the configuration file or on the command line. Relative and absolute file paths are allowed. This option allows it to use the native UFO parameter cards, as used by MadGraph for example.

Note that the use of the SM PARTICLE_DATA switches Mass, Massive, Width, and Stable is discouraged when using UFO models as the UFO model completely defines all particle properties and their relation to the independent model parameters. These model parameters should be set using the standard UFO parameter syntax as shown in the example run card generated by the Sherpa-generate-model command.

For parts of the simulation other than the hard process (hadronization, underlying event, running of the SM couplings) Sherpa uses internal default values for the Standard Model fermion masses if they are massless in the UFO model. This is necessary for a meaningful simulation. In the hard process however, the UFO model masses are always respected.

For an example UFO setup, see Event generation in the MSSM using UFO. For more details on the Sherpa interface to FeynRules please consult [CdAD+11],:cite:Hoeche2014kca.

Please note that AMEGIC can only be used for the built-in models (SM and HEFT). The use of UFO models is only supported by Comix.

### 5.5. Matrix elements¶

The following parameters are used to steer the matrix element calculation setup. To learn how to specify the hard scattering process and further process-specific options in its calculation, please also refer to Processes.

#### 5.5.1. ME_GENERATORS¶

The list of matrix element generators to be employed during the run. When setting up hard processes, Sherpa calls these generators in order to check whether either one is capable of generating the corresponding matrix element. This parameter can also be set on the command line using option -m, see Command Line Options.

The built-in generators are

Internal

Simple matrix element library, implementing a variety of 2->2 processes.

Amegic

The AMEGIC++ generator published under [KKS02]

Comix

The Comix generator published under [GH08]

#### 5.5.2. RESULT_DIRECTORY¶

This parameter specifies the name of the directory which is used by Sherpa to store integration results and phasespace mappings. The default is Results/. It can also be set using the command line parameter -r, see Command Line Options. The directory will be created automatically, unless the option GENERATE_RESULT_DIRECTORY: false is specified. Its location is relative to a potentially specified input path, see Command Line Options.

#### 5.5.3. EVENT_GENERATION_MODE¶

This parameter specifies the event generation mode. It can also be set on the command line using option -w, see Command Line Options. The three possible options are:

Weighted

(alias W) Weighted events.

Unweighted

(alias U) Events with constant weight, which have been unweighted against the maximum determined during phase space integration. In case of rare events with w > max the parton level event is repeated floor(w/max) times and the remainder is unweighted. While this leads to unity weights for all events it can be misleading since the statistical impact of a high-weight event is not accounted for. In the extreme case this can lead to a high-weight event looking like a significant bump in distributions (in particular after the effects of the parton shower).

PartiallyUnweighted

(alias P) Identical to Unweighted events, but if the weight exceeds the maximum determined during the phase space integration, the event will carry a weight of w/max to correct for that. This is the recommended option to generate unweighted events and the default setting in Sherpa.

For Unweighted and PartiallyUnweighted events the user may set OVERWEIGHT_THRESHOLD: to cap the maximal over-weight w/max taken into account.

#### 5.5.4. SCALES¶

This parameter specifies how to compute the renormalization and factorization scale and potential additional scales.

Note

In a setup with the parton shower enabled, it is strongly recommended to leave this at its default value, METS, and to instead customise the CORE_SCALE setting as described in METS scale setting with multiparton core processes.

Sherpa provides several built-in scale setting schemes. For each scheme the scales are then set using expressions understood by the Interpreter. Each scale setter’s syntax is

SCALES: <scale-setter>{<scale-definition>}


to define a single scale for both the factorisation and renormalisation scale. They can be set to different values using

SCALES: <scale-setter>{<fac-scale-definition>}{<ren-scale-definition>}


In parton shower matched/merged calculations a third perturbative scale is present, the resummation or parton shower starting scale. It can be set by the user in the third argument like

SCALES: <scale-setter>{<fac-scale-definition>}{<ren-scale-definition>}{<res-scale-definition>}


If the final state of your hard scattering process contains QCD partons, their kinematics fix the resummation scale for subsequent emissions (cf. the description of the METS scale setter below). With the CS Shower, you can instead specify your own resummation scale also in such a case: Set CSS_RESPECT_Q2: true and use the third argument to specify your resummation scale as above.

Note

For all scales their squares have to be given. See Predefined scale tags for some predefined scale tags.

More than three scales can be set as well to be subsequently used, e.g. by different couplings, see COUPLINGS.

##### 5.5.4.1. Scale setters¶

The scale setter options which are currently available are

VAR

The variable scale setter is the simplest scale setter available. Scales are simply specified by additional parameters in a form which is understood by the internal interpreter, see Interpreter. If, for example the invariant mass of the lepton pair in Drell-Yan production is the desired scale, the corresponding setup reads

SCALES: VAR{Abs2(p[2]+p[3])}


Renormalization and factorization scales can be chosen differently. For example in Drell-Yan + jet production one could set

SCALES: VAR{Abs2(p[2]+p[3])}{MPerp2(p[2]+p[3])}

FASTJET

If FastJet is enabled by including --enable-fastjet=/path/to/fastjet in the configure options, this scale setter can be used to set a scale based on jet-, rather than parton-momenta.

The final state parton configuration is first clustered using FastJet and resulting jet momenta are then added back to the list of non strongly interacting particles. The numbering of momenta therefore stays effectively the same as in standard Sherpa, except that final state partons are replaced with jets, if applicable (a parton might not pass the jet criteria and get “lost”). In particular, the indices of the initial state partons and all EW particles are uneffected. Jet momenta can then be accessed as described in Predefined scale tags through the identifiers p[i], and the nodal values of the clustering sequence can be used through MU_n2. The syntax is

SCALES: FASTJET[<jet-algo-parameter>]{<scale-definition>}


Therein the parameters of the jet algorithm to be used to define the jets are given as a comma separated list of

• the jet algorithm A:kt,antikt,cambridge,siscone (default antikt)

• phase space restrictions, i.e. PT:<min-pt>, ET:<min-et>, Eta:<max-eta>, Y:<max-rap> (otherwise unrestricted)

• radial parameter R:<rad-param> (default 0.4)

• f-parameter for Siscone f:<f-param> (default 0.75)

• recombination scheme C:E,pt,pt2,Et,Et2,BIpt,BIpt2 (default E)

• b-tagging mode B:0,1,2 (default 0) This parameter, if specified different from its default 0, allows to use b-tagged jets only, based on the parton-level constituents of the jets. There are two options: With B:1 both b and anti-b quarks are counted equally towards b-jets, while for B:2 they are added with a relative sign as constituents, i.e. a jet containing b and anti-b is not tagged.

• scale setting mode M:0,1 (default 1) It is possible to specify multiple scale definition blocks, each enclosed in curly brackets. The scale setting mode parameter then determines, how those are interpreted: In the M:0 case, they specify factorisation, renormalisation and resummation scale separately in that order. In the M:1 case, the n given scales are used to calculate a mean scale such that $$\alpha_s^n(\mu_\text{mean})=\alpha_s(\mu_1)\dots\alpha_s(\mu_n)$$ This scale is then used for factorisation, renormalisation and resummation scale.

Consider the example of lepton pair production in association with jets. The following scale setter

SCALES: FASTJET[A:kt,PT:10,R:0.4,M:0]{sqrt(PPerp2(p[4])*PPerp2(p[5]))}


reconstructs jets using the kt-algorithm with R=0.4 and a minimum transverse momentum of 10 GeV. The scale of all strong couplings is then set to the geometric mean of the hardest and second hardest jet. Note M:0.

Similarly, in processes with multiple strong couplings, their renormalisation scales can be set to different values, e.g.

SCALES: FASTJET[A:kt,PT:10,R:0.4,M:1]{PPerp2(p[4])}{PPerp2(p[5])}


sets the scale of one strong coupling to the transverse momentum of the hardest jet, and the scale of the second strong coupling to the transverse momentum of second hardest jet. Note M:1 in this case.

The additional tags MU_22 .. MU_n2 (n=2..njet+1), hold the nodal values of the jet clustering in descending order.

Please note that currently this type of scale setting can only be done within the process block (Processes) and not within the (me) section.

METS

The matrix element is clustered onto a core 2->2 configuration using an inversion of current parton shower, cf. SHOWER_GENERATOR, recombining (n+1) particles into n on-shell particles. Their corresponding flavours are determined using run-time information from the matrix element generator. It defines the three tags MU_F2, MU_R2 and MU_Q2 whose values are assigned through this clustering procedure. While MU_F2 and MU_Q2 are defined as the lowest invariant mass or negative virtuality in the core process (for core interactions which are pure QCD processes scales are set to the maximum transverse mass squared of the outgoing particles), MU_R2 is determined using this core scale and the individual clustering scales such that

$\alpha_s(\mu_{R2})^{n+k} = \alpha_s(\text{core}-\text{scale})^k \alpha_s(kt_1) \dots \alpha_s(kt_n)$

where k is the order in strong coupling of the core process and k is the number of clusterings, kt_i are the relative transverse momenta at each clustering. The tags MU_F2, MU_R2 and MU_Q2 can then be used on equal footing with the tags of Predefined scale tags to define the final scale.

METS is the default scale scheme in Sherpa, since it is employed for truncated shower merging, see Multijet merged event generation with Sherpa, both at leading and next-to-leading order. Thus, Sherpa’s default is

SCALES: METS{MU_F2}{MU_R2}{MU_Q2}


As the tags MU_F2, MU_R2 and MU_Q2 are predefined by the METS scale setter, they may be omitted, i.e.

SCALES: METS


leads to an identical scale definition.

Clusterings onto 2->n (n>2) configurations is possible, see METS scale setting with multiparton core processes.

This scheme might be subject to changes to enable further classes of processes for merging in the future and should therefore be seen with care. Integration results might change slightly between different Sherpa versions.

Occasionally, users might encounter the warning message

METS_Scale_Setter::CalculateScale(): No CSS history for '<process name>' in <percentage>% of calls. Set \hat{s}.


As long as the percentage quoted here is not too high, this does not pose a serious problem. The warning occurs when - based on the current colour configuration and matrix element information - no suitable clustering is found by the algorithm. In such cases the scale is set to the invariant mass of the partonic process.

##### 5.5.4.2. Custom scale implementation¶

When the flexibility of the VAR scale setter above is not sufficient, it is also possible to implement a completely custom scale scheme within Sherpa as C++ class plugin. For details please refer to the Customization section.

##### 5.5.4.3. Predefined scale tags¶

There exist a few predefined tags to facilitate commonly used scale choices or easily implement a user defined scale.

p[n]

Access to the four momentum of the nth particle. The initial state particles carry n=0 and n=1, the final state momenta start from n=2. Their ordering is determined by Sherpa’s internal particle ordering and can be read e.g. from the process names displayed at run time. Please note, that when building jets out of the final state partons first, e.g. through the FASTJET scale setter, these parton momenta will be replaced by the jet momenta ordered in transverse momenta. For example the process u ub -> e- e+ G G will have the electron and the positron at positions p[2] and p[3] and the gluons on postions p[4] and p[5]. However, when finding jets first, the electrons will still be at p[2] and p[3] while the harder jet will be at p[4] and the softer one at p[5].

H_T2

Square of the scalar sum of the transverse momenta of all final state particles.

H_TM2

Square of the scalar sum of the transverse energies of all final state particles, i.e. contrary to H_T2 H_TM2 takes particle masses into account.

H_TY2(<factor>,<exponent>)

Square of the scalar sum of the transverse momenta of all final state particles weighted by their rapidity distance from the final state boost vector. Thus, takes the form

H_T^{(Y)} = sum_i pT_i exp [ fac |y-yboost|^exp ]


Typical values to use would by 0.3 and 1.

H_Tp2

Scale setter for lepton-pair production in association with jets only, implements

H_T' = sqrt(m_ll^2 + pT(ll)^2) + sum_i pT_i (i not l)

DH_Tp2(<recombination-method>,<dR>)

Implements a version of H_Tp2 which dresses charged particles first. The parameter <recombination-method> can take the following values: Cone, kt, CA or antikt, while <dR> is the respecitve algorithm’s angular distance parameter.

TAU_B2

Square of the beam thrust.

MU_F2, MU_R2, MU_Q2

Tags holding the values of the factorisation, renormalisation scale and resummation scale determined through backwards clustering in the METS scale setter.

MU_22, MU_32, ..., MU_n2

Tags holding the nodal values of the jet clustering in the FASTJET scale setter, cf. Scale setters.

All of those objects can be operated upon by any operator/function known to the Interpreter.

##### 5.5.4.4. Scale schemes for NLO calculations¶

For next-to-leading order calculations it must be guaranteed that the scale is calculated separately for the real correction and the subtraction terms, such that within the subtraction procedure the same amount is subtracted and added back. Starting from version 1.2.2 this is the case for all scale setters in Sherpa. Also, the definition of the scale must be infrared safe w.r.t. to the radiation of an extra parton. Infrared safe (for QCD-NLO calculations) are:

• any function of momenta of NOT strongly interacting particles

• sum of transverse quantities of all partons (e.g. H_T2)

• any quantity refering to jets, constructed by an IR safe jet algorithm, see below.

Not infrared safe are

• any function of momenta of specific partons

• for processes with hadrons in the initial state:

any quantity that depends on parton momenta along the beam axis, including the initial state partons itself

Since the total number of partons is different for different pieces of the NLO calculation any explicit reference to a parton momentum will lead to an inconsistent result.

##### 5.5.4.5. Explicit scale variations¶

The (nominal) factorisation and renormalisation scales in the fixed-order matrix elements can be scaled explicitly simply by introducing a prefactor into the scale definition, e.g.

SCALES: VAR{0.25*H_T2}{0.25*H_T2}


for setting both the renormalisation and factorisation scales to H_T/2.

However, to calculate several variations in a single event generation run, you need to use On-the-fly event weight variations. See the instructions given there to find out how to vary factorisation and renormalisation scale factors on-the-fly, both in the matrix element and in the parton shower.

The starting scale of the parton shower resummation in a ME+PS merged sample, MU_Q2, can at the moment not be varied on-the-fly. To change the (nominal) starting scale explicitly, a scale factor can be introduced in the third argument of the METS scale setter:

SCALES: METS{MU_F2}{MU_R2}{4.0*MU_Q2}

##### 5.5.4.6. METS scale setting with multiparton core processes¶

The METS scale setter stops clustering when no combination is found that corresponds to a parton shower branching, or if two subsequent branchings are unordered in terms of the parton shower evolution parameter. The core scale of the remaining 2->n process then needs to be defined. This is done by specifying a core scale through

CORE_SCALE: <core-scale-setter>{<core-fac-scale-definition>}{<core-ren-scale-definition>}{<core-res-scale-definition>}


As always, for scale setters which define MU_F2, MU_R2 and MU_Q2 the scale definition can be dropped. Possible core scale setters are

VAR

Variable core scale setter. Syntax is identical to variable scale setter.

QCD

QCD core scale setter. Scales are set to harmonic mean of s, t and u. Only useful for 2->2 cores as alternatives to the usual core scale of the METS scale setter.

TTBar

Core scale setter for processes involving top quarks. Implementation details are described in Appendix C of [HHL+13].

SingleTop

Core scale setter for single-top production in association with one jet. If the W is in the t-channel (s-channel), the squared scales are set to the Mandelstam variables t=2*p[0]*p[2] (t=2*p[0]*p[1]).

#### 5.5.5. COUPLINGS¶

Within Sherpa, strong and electroweak couplings can be computed at any scale specified by a scale setter (cf. SCALES). The COUPLINGS tag links the argument of a running coupling to one of the respective scales. This is better seen in an example. Assuming the following input

SCALES: VAR{...}{PPerp2(p[2])}{Abs2(p[2]+p[3])}
COUPLINGS:
- "Alpha_QCD 1"
- "Alpha_QED 2"


Sherpa will compute any strong couplings at scale one, i.e. PPerp2(p[2]) and electroweak couplings at scale two, i.e. Abs2(p[2]+p[3]). Note that counting starts at zero.

#### 5.5.6. KFACTOR¶

This parameter specifies how to evaluate potential K-factors in the hard process. This is equivalent to the COUPLINGS specification of Sherpa versions prior to 1.2.2. To list all available K-factors, the tag SHOW_KFACTOR_SYNTAX: 1 can be specified on the command line. Currently available options are

None

No reweighting

VAR

Couplings specified by an additional parameter in a form which is understood by the internal interpreter, see Interpreter. The tags Alpha_QCD and Alpha_QED serve as links to the built-in running coupling implementation.

If for example the process g g -> h g in effective theory is computed, one could think of evaluating two powers of the strong coupling at the Higgs mass scale and one power at the transverse momentum squared of the gluon. Assuming the Higgs mass to be 120 GeV, the corresponding reweighting would read

SCALES:    VAR{...}{PPerp2(p[3])}
COUPLINGS: "Alpha_QCD 1"
KFACTOR:   VAR{sqr(Alpha_QCD(sqr(120))/Alpha_QCD(MU_12))}


As can be seen from this example, scales are referred to as MU_<i>2, where <i> is replaced with the appropriate number. Note that counting starts at zero.

#### 5.5.7. YUKAWA_MASSES¶

This parameter specifies whether the Yukawa couplings are evaluated using running or fixed quark masses: YUKAWA_MASSES: Running is the default since version 1.2.2 while YUKAWA_MASSES: Fixed was the default until 1.2.1.

#### 5.5.8. Dipole subtraction¶

This list of parameters can be used to optimize the performance when employing the Catani-Seymour dipole subtraction [CS97] as implemented in Amegic [GK08]. The dipole parameters are specified as subsettings to the DIPOLES setting, like this:

DIPOLES:
ALPHA: <alpha>
NF_GSPLIT: <nf>
# other dipole settings ...


The following parameters can be customised:

LPHA

Specifies a dipole cutoff in the nonsingular region [Nag03]. Changing this parameter shifts contributions from the subtracted real correction piece (RS) to the piece including integrated dipole terms (I), while their sum remains constant. This parameter can be used to optimize the integration performance of the individual pieces. Also the average calculation time for the subtracted real correction is reduced with smaller choices of “ALPHA” due to the (on average) reduced number of contributing dipole terms. For most processes a reasonable choice is between 0.01 and 1 (default). See also Choosing DIPOLES ALPHA

AMIN

Specifies the cutoff of real correction terms in the infrared reagion to avoid numerical problems with the subtraction. The default is 1.e-8.

NF_GSPLIT

Specifies the number of quark flavours that are produced from gluon splittings. This number must be at least the number of massless flavours (default). If this number is larger than the number of massless quarks the massive dipole subtraction [CDST02] is employed.

KAPPA

Specifies the kappa-parameter in the massive dipole subtraction formalism [CDST02]. The default is 2.0/3.0.

### 5.6. Processes¶

In addition to the general matrix-element calculation settings specified as described in Matrix elements, the hard scattering process has to be defined and further process-specific calculation settings can be specified. This happens in the PROCESSES part of the input file and is described in the following section.

A simple example looks like:

PROCESSES:
- 93 93 -> 11 -11 93{4}:
Order: {QCD: 0, EW: 2}
CKKW: 20


In general, the process setup takes the following form:

PROCESSES:
# Process 1:
- <process declaration>:
<parameter>: <value>
<multiplicities-to-be-applied-to>:
<parameter>: <value>
...
# Process 2:
- <process declaration>
...


i.e. PROCESSES followed by a list of process definitions.

Each process definition starts with the declaration of the (core) process itself. The initial and final state particles are specified by their PDG codes, or by particle containers, see Particle containers. Examples are

- 93 93 -> 11 -11

Sets up a Drell-Yan process group with light quarks in the initial state.

- 11 -11 -> 93 93 93{3}

Sets up jet production in e+e- collisions with up to three additional jets.

Special features of the process declaration will be documented in the following. The remainder of the section then documents all additional parameters for the process steering, e.g. the coupling order, which can be nested as key: value pairs within a given process declaration.

An advanced syntax feature shall be mentioned already here, since it will be used in some of the examples in the following: Most of the parameters can be grouped under a multiplicity key, which can either be a single or a range of multiplicities, e.g. 2->2-4: { <settings for 2->2, 2->3 and 2->4 processes> }. The usefulness of this will hopefully become clear in the examples in the following.

#### 5.6.1. Special features of the process declaration¶

##### 5.6.1.1. PDG codes¶

Initial and final state particles are specified using their PDG codes (cf. PDG). A list of particles with their codes, and some of their properties, is printed at the start of each Sherpa run, when the OUTPUT is set at level 2.

##### 5.6.1.2. Particle containers¶

Sherpa contains a set of containers that collect particles with similar properties, namely

• lepton (carrying number 90),

• neutrino (carrying number 91),

• fermion (carrying number 92),

• jet (carrying number 93),

• quark (carrying number 94).

These containers hold all massless particles and anti-particles of the denoted type and allow for a more efficient definition of initial and final states to be considered. The jet container consists of the gluon and all massless quarks, as set by

PARTICLE_DATA:
<id>:
Mass: 0
# ... and/or ...
Massive: false


A list of particle containers is printed at the start of each Sherpa run, when the OUTPUT is set at level 2.

It is also possible to define a custom particle container using the keyword PARTICLE_CONTAINER. The container must be given an unassigned particle ID (kf-code) and its name (freely chosen by you) and the flavour content must be specified. An example would be the collection of all down-type quarks using the unassigned ID 98, which could be declared as

PARTICLE_CONTAINER:
98:
Name: downs
Flavours: [1, -1, 3, -3, 5, -5]


Note that, if wanted, you have to add both particles and anti-particles.

##### 5.6.1.3. Parentheses¶

The parenthesis notation allows to group a list of processes with different flavor content but similar structure. This is most useful in the context of simulations containing heavy quarks. In a setup with massive b-quarks, for example, the b-quark will not be part of the jets container. In order to include b-associated processes easily, the following can be used:

PARTICLE_DATA:
5: {Massive: true}
PARTICLE_CONTAINER:
98: {Name: B, Flavours: [5, -5]}
PROCESSES:
- 11 -11 -> (93,98) (93,98):
...

##### 5.6.1.4. Curly brackets¶

The curly bracket notation when specifying a process allows up to a certain number of jets to be included in the final state. This is easily seen from an example, 11 -11 -> 93 93 93{3} sets up jet production in e+e- collisions. The matix element final state may be 2, 3, 4 or 5 light partons or gluons.

#### 5.6.2. Decay¶

Specifies the exclusive decay of a particle produced in the matrix element. The virtuality of the decaying particle is sampled according to a Breit-Wigner distribution. In practice this amounts to selecting only those diagrams containing s-channels of the specified flavour while the phase space is kept general. Consequently, all spin correlations are preserved. An example would be

- 11 -11 -> 6[a] -6[b]:
Decay:
- 6[a] -> 5 24[c]
- -6[b] -> -5 -24[d]
- 24[c] -> -13 14
- -24[d] -> 94 94


#### 5.6.3. DecayOS¶

Specifies the exclusive decay of a particle produced in the matrix element. The decaying particle is on mass-shell, i.e. a strict narrow-width approximation is used. This tag can be specified alternatively as DecayOS. In practice this amounts to selecting only those diagrams containing s-channels of the specified flavour and the phase space is factorised as well. Nonetheless, all spin correlations are preserved. An example would be

- 11 -11 -> 6[a] -6[b]:
DecayOS:
- 6[a] -> 5 24[c]
- -6[b] -> -5 -24[d]
- 24[c] -> -13 14
- -24[d] -> 94 94


#### 5.6.4. No_Decay¶

Remove all diagrams associated with the decay/s-channel of the given flavours. Serves to avoid resonant contributions in processes like W-associated single-top production. Note that this method breaks gauge invariance! At the moment this flag can only be set for Comix. An example would be

- 93 93 -> 6[a] -24[b] 93{1}:
Decay: 6[a] -> 5 24[c]
DecayOS:
- 24[c] -> -13 14
- -24[b] -> 11 -12
No_Decay: -6


#### 5.6.5. Scales¶

Sets a process-specific scale. For the corresponding syntax see SCALES.

#### 5.6.6. Couplings¶

Sets process-specific couplings. For the corresponding syntax see COUPLINGS.

#### 5.6.7. CKKW¶

Sets up multijet merging according to [HKSS09]. The additional argument specifies the parton separation criterion (“merging cut”) Q_{cut} in GeV. It can be given in any form which is understood by the internal interpreter, see Interpreter. Examples are

• Hadronic collider: CKKW: 20

• Leptonic collider: CKKW: pow(10,-2.5/2.0)*E_CMS

• DIS: CKKW: $(QCUT)/sqrt(1.0+sqr($(QCUT)/(SDIS))/Abs2(p[2]-p[0])) See On-the-fly event weight variations to find out how to vary the merging cut on-the-fly. #### 5.6.8. Process_Selectors¶ Using Selectors: [<selector 1>, <selector 2>] in a process definition sets up process-specific selectors. They use the same syntax as describes in Selectors. #### 5.6.9. Order¶ Sets a process-specific coupling order. Orders are counted at the amplitude level. For example, the process 1 -1 -> 2 -2 would have orders {QCD: 2, EW: 0}, {QCD: 1, EW: 1} and {QCD: 0, EW: 2}. There can also be a third entry that is model specific (e.g. for HEFT couplings). Half-integer orders are so far supported only by Comix. The word “Any” can be used as a wildcard. Note that for decay chains this setting applies to the full process, see Decay and DecayOS. #### 5.6.10. Max_Order¶ Sets a process-specific maximum coupling order. See Order for the syntax and additional information. #### 5.6.11. Min_Order¶ Sets a process-specific minimum coupling order. See Order for the syntax and additional information. #### 5.6.12. Min_N_Quarks¶ Limits the minimum number of quarks in the process to the given value. #### 5.6.13. Max_N_Quarks¶ Limits the maximum number of quarks in the process to the given value. #### 5.6.14. Min_N_TChannels¶ Limits the minimum number of t-channel propagators in the process to the given value. #### 5.6.15. Max_N_TChannels¶ Limits the maximum number of t-channel propagators in the process to the given value. #### 5.6.17. Name_Suffix¶ Defines a unique name suffix for the process. #### 5.6.18. Integration_Error¶ Sets a process-specific relative integration error target. An example to specify an error target of 2% for 2->3 and 2->4 processes would be: - 93 93 -> 93 93 93{2}: 2->3-4: Integration_Error: 0.02  #### 5.6.19. Max_Epsilon¶ Sets epsilon for maximum weight reduction. The key idea is to allow weights larger than the maximum during event generation, as long as the fraction of the cross section represented by corresponding events is at most the epsilon factor times the total cross section. In other words, the relative contribution of overweighted events to the inclusive cross section is at most epsilon. #### 5.6.20. NLO_Mode¶ This setting specifies whether and in which mode an NLO calculation should be performed. Possible values are: None perform a leading-order calculation (this is the default) Fixed_Order perform a fixed-order next-to-leading order calculation MC@NLO perform an MC@NLO-type matching of a fixed-order next-to-leading order calculation to the resummation of the parton shower The usual multiplicity identifier applies to this switch as well. Note that using a value other than None implies NLO_Part: BVIRS for the relevant multiplicities. For fixed-order NLO calculations (NLO_Mode: Fixed_Order), this can be overridden by setting NLO_Part explicitly, see NLO_Part. Note that Sherpa includes only a very limited selection of one-loop corrections. For processes not included external codes can be interfaced, see External one-loop ME #### 5.6.21. NLO_Part¶ In case of fixed-order NLO calculations this switch specifies which pieces of a NLO calculation are computed, also see NLO_Mode. Possible choices are B born term V virtual (one-loop) correction I integrated subtraction terms RS real correction, regularized using Catani-Seymour subtraction terms Different pieces can be combined in one processes setup. Only pieces with the same number of final state particles and the same order in alpha_S and alpha can be treated as one process, otherwise they will be automatically split up. #### 5.6.22. NLO_Order¶ Specifies the relative order of the NLO correction wrt. the considered Born process. For example, NLO_Order: {QCD: 1, EW: 0} specifies a QCD correction while NLO_Order: {QCD: 0, EW: 1} specifies an EW correction. #### 5.6.23. Subdivide_Virtual¶ Allows to split the virtual contribution to the total cross section into pieces. Currently supported options when run with BlackHat are LeadingColor and FullMinusLeadingColor. For high-multiplicity calculations these settings allow to adjust the relative number of points in the sampling to reduce the overall computation time. #### 5.6.24. ME_Generator¶ Set a process specific nametag for the desired tree-ME generator, see ME_GENERATORS. #### 5.6.25. RS_ME_Generator¶ Set a process specific nametag for the desired ME generator used for the real minus subtraction part of NLO calculations. See also ME_GENERATORS. #### 5.6.26. Loop_Generator¶ Set a process specific nametag for the desired loop-ME generator. The only Sherpa-native option is Internal with a few hard coded loop matrix elements. Other loop matrix elements are provided by external libraries. #### 5.6.27. Associated_Contributions¶ Set a process specific list of associated contributions to be computed. Valid values are EW (approximate EW corrections), LO1 (first subleading leading-order correction), LO2 (second subleading leading-order correction), LO3 (third subleading leading-order correction). They can be combined, eg. @code{[EW, LO1, LO2, LO3]}. Please note, the associated contributions will not be added to the nominal event weight but instead are available to be included in the on-the-fly calculation of alternative event weights, cf. EWvirt. #### 5.6.28. Integrator¶ Sets a process-specific integrator, see INTEGRATOR. #### 5.6.29. PSI_ItMin¶ Sets the number of points per optimization step, see PSI. #### 5.6.30. RS_PSI_ItMin¶ Sets the number of points per optimization step in real-minus-subtraction parts of fixed-order and MC@NLO calculations, see PSI. #### 5.6.31. Special Group¶ Note Needs update to Sherpa 3.x YAML syntax. Allows to split up individual flavour processes within a process group for integrating them separately. This can help improve the integration/unweighting efficiency. Note: Only works with Comix so far. Example for usage: Process 93 93 -> 11 -11 93 Special Group(0-1,4) [...] End process Process 93 93 -> 11 -11 93 Special Group(2-3,5-7) [...] End process  The numbers for each individual process can be found using a script in the AddOns directory: AddOns/ShowProcessIds.sh Process/Comix.zip #### 5.6.32. Event biasing¶ In the default event generation mode, events will be distributed “naturally” in the phase space according to their differential cross sections. But sometimes it is useful, to statistically enhance the event generation for rare phase space regions or processes/multiplicities. This is possible with the following options in Sherpa. The generation of more events in a rare region will then be compensated through event weights to yield the correct differential cross section. These options can be applied both in weighted and unweighted event generation. ##### 5.6.32.1. Enhance_Factor¶ Factor with which the given process/multiplicity should be statistically biased. In the following example, the Z+1j process is generated 10 times more often than naturally, compared to the Z+0j process. Each Z+1j event will thus receive a weight of 1/10 to compensate for the bias. - 93 93 -> 11 -11 93{1}: 2->3: Enhance_Factor: 10.0  ##### 5.6.32.2. RS_Enhance_Factor¶ Sets an enhance factor (see Enhance_Factor) for the RS-piece of an MC@NLO process. ##### 5.6.32.3. Enhance_Function¶ Specifies a phase-space dependent biasing of parton-level events (before showering). The given parton-level observable defines a multiplicative enhancement on top of the normal matrix element shape. Example: - 93 93 -> 11 -11 93{1}: 2->3: Enhance_Function: VAR{PPerp2(p[2]+p[3])/400}  In this example, Z+1-jet events with $$p_\perp(Z)=20$$ GeV and Z+0-jet events will come with no enhancement, while other Z+1-jet events will be enhanced with $$(p_\perp(Z)/20)^2$$. Note: if you would define the enhancement function without the normalisation to $$1/20^2$$, the Z+1-jet would come with a significant overall enhancement compared to the unenhanced Z+0-jet process, which would have a strong impact on the statistical uncertainty in the Z+0-jet region. Optionally, a range can be specified over which the multiplicative biasing should be applied. The matching at the range boundaries will be smooth, i.e. the effective enhancement is frozen to its value at the boundaries. Example: - 93 93 -> 11 -11 93{1}: 2->3: Enhance_Function: VAR{PPerp2(p[2]+p[3])/400}|1.0|100.0  This implements again an enhancement with $$(p_\perp(Z)/20)^2$$ but only in the range of 20-200 GeV. As you can see, you have to be take into account the normalisation also in the range specification. ##### 5.6.32.4. Enhance_Observable¶ Specifies a phase-space dependent biasing of parton-level events (before showering). Events will be statistically flat in the given observable and range. An example would be: - 93 93 -> 11 -11 93{1}: 2->3: Enhance_Observable: VAR{log10(PPerp(p[2]+p[3]))}|1|3  Here, the 1-jet process is flattened with respect to the logarithmic transverse momentum of the lepton pair in the limits 1.0 (10 GeV) to 3.0 (1 TeV). For the calculation of the observable one can use any function available in the algebra interpreter (see Interpreter). The matching at the range boundaries will be smooth, i.e. the effective enhancement is frozen to its value at the boundaries. This can have unwanted side effects for the statistical uncertainty when used in a multi-jet merged sample, because the flattening is applied in each multiplicity separately, and also affects the relative selection weights of each sub-sample (e.g. 2-jet vs. 3-jet). Note The convergence of the Monte Carlo integration can be worse if enhance functions/observables are employed and therefore the integration can take significantly longer. The reason is that the default phase space mapping, which is constructed according to diagrammatic information from hard matrix elements, is not suited for event generation including enhancement. It must first be adapted, which, depending on the enhance function and the final state multiplicity, can be an intricate task. If Sherpa cannot achieve an integration error target due to the use of enhance functions, it might be appropriate to locally redefine this error target, see Integration_Error. ### 5.7. Selectors¶ Sherpa provides the following selectors that set up cuts at the matrix element level: Some selectors modify the momenta and flavours of the set of final state particles. These selectors also take a list of subselectors which then act on the modified flavours and momenta. Details are explained in the respective selectors’ description. #### 5.7.1. Inclusive selectors¶ The selectors listed here implement cuts on the matrix element level, based on event properties. The corresponding syntax is SELECTORS: - [<keyword>, <parameter 1>, <parameter 2>, ...] - # other selectors ...  Parameters that accept numbers can also be given in a form that is understood by the internal algebra interpreter, see Interpreter. The selectors act on all particles in the event. Their respective keywords are [N, <kf>, <min value>, <max value>] Minimum and maximum multiplicity of flavour <kf> in the final state. [PTmis, <min value>, <max value>] Missing transverse momentum cut (at the moment only neutrinos are considered invisible) [ETmis, <min value>, <max value>] Missing transverse energy cut (at the moment only neutrinos are considered invisible) [IsolationCut, <kf>, <dR>, <exponent>, <epsilon>, <optional: mass_max>] Smooth cone isolation [Fri98], the parameters given are the flavour <kf> to be isolated against massless partons and the isolation cone parameters. [NJ, <N>, <algo>, <min value>, <max value>] NJettiness from [SJW10], where <algo> specifies the jet finding algorithm to determine the hard jet directions and <N> is their multiplicity. algo=kt|antikt|cambridge|siscone,PT:<ptmin>,R:<dR>[,[ETA:<etamax>,Y:<ymax>]] #### 5.7.2. One particle selectors¶ The selectors listed here implement cuts on the matrix element level, based on single particle kinematics. The corresponding syntax is SELECTORS: - [<keyword>, <flavour code>, <min value>, <max value>] - # other selectors ...  <min value> and <max value> are floating point numbers, which can also be given in a form that is understood by the internal algebra interpreter, see Interpreter. The selectors act on all possible particles with the given flavour. Their respective keywords are PT transverse momentum cut ET transverse energy cut Y rapidity cut Eta pseudorapidity cut PZIN cut on the z-component of the momentum, acts on initial-state flavours only (commonly used in DIS analyses) #### 5.7.3. Two particle selectors¶ The selectors listed here implement cuts on the matrix element level, based on two particle kinematics. The corresponding is SELECTORS: - [<keyword>, <flavour1 code>, <flavour2 code>, <min value>, <max value>] - # other selectors ...  <min value> and <max value> are floating point numbers, which can also be given in a form that is understood by the internal algebra interpreter, see Interpreter. The selectors act on all possible particles with the given flavour. Their respective keywords are Mass invariant mass Q2 DIS-like virtuality PT2 pair transverse momentum MT2 pair transverse mass DY rapidity separation DEta pseudorapidity separation DPhi azimuthal separation DR angular separation (build from eta and phi) DR(y) angular separation (build from y and phi) INEL inelasticity, one of the flavours must be in the initial-state (commonly used in DIS analyses) #### 5.7.4. Decay selectors¶ The selectors listed here implement cuts on the matrix element level, based on particle decays, see Decay and DecayOS. DecayMass Invariant mass of a decaying particle. The syntax is - [DecayMass, <flavour code>, <min value>, <max value>]  Decay Any kinematic variable of a decaying particle. The syntax is - [Decay(<expression>), <flavour code>, <min value>, <max value>]  where <expression> is an expression handled by the internal interpreter, see Interpreter. Decay2 Any kinematic variable of a pair of decaying particles. The syntax is - [Decay2(<expression>), <flavour1 code>, <flavour2 code>, <min value>, <max value>]  where <expression> is an expression handled by the internal interpreter, see Interpreter. Particles are identified by flavour, i.e. the cut is applied on all decaying particles that match <flavour code>. <min value> and <max value> are floating point numbers, which can also be given in a format that is understood by the internal algebra interpreter, see Interpreter. #### 5.7.5. Particle dressers¶ #### 5.7.6. Jet selectors¶ There are two different types of jet finders NJetFinder k_T-type algorithm to select on a given number of jets FastjetFinder Select on a given number of jets using FastJet algorithms Their respective syntax and defaults are SELECTORS: - NJetFinder: N: 0 PTMin: 0.0 ETMin: 0.0 R: 0.4 Exp: 1 EtaMax: None YMax: None MassMax: 0.0 - FastjetFinder: Algorithm: kt N: 0 PTMin: 0.0 ETMin: 0.0 DR: 0.4 f: 0.75 # Siscone f parameter EtaMax: None YMax: None Nb: -1 Nb2: -1  Note that all parameters are optional. If they are not specified, their respective default values as indicated in the above snippet is used. However, at the very least the number of jets, N, should be specified to require a non-zero number of jets. The NJetFinder allows to select for kinematic configurations with at least <N> jets that satisfy both, the <PTMin> and the <ETMin> minimum requirements and that are in a pseudo-rapidity region |eta|. The <Exp> (exponent) allows to apply a kt-algorithm (1) or an anti-kt algorithm (-1). As only massless partons are clustered by default, the <MassMax> allows to also include partons with a mass up to the specified values. This is useful e.g. in calculations with massive b-quarks which shall nonetheless satisfy jet criteria. The second option FastjetFinder allows to use the FastJet plugin, through fjcore. It takes the following arguments: <Algorithm> can take the values kt,antikt,cambridge,siscone,eecambridge,jade, <N> is the minimum number of jets to be found, <PTMin> and <ETMin> are the minimum transverse momentum and/or energy, <DR> is the radial parameter. Optional arguments are: <f> (default 0.75, only relevant for the Siscone algorithm), <EtaMax> and <YMax> as maximal absolute (pseudo-)rapidity, <Nb> and <Nb2> set the number of required b-jets, where for the former both b and anti-b quarks are counted equally towards b-jets, while for the latter they are added with a relative sign as constituents, i.e. a jet containing b and anti-b is not tagged (default: -1, i.e. no b jets are required). Note that only <Algorithm>, <N> and <PTMin> are relevant for the lepton-lepton collider algorithms. The selector FastjetVeto allows to use the FastJet plugin to apply jet veto cuts. Its syntax is identical to FastjetFinder. The momenta and nodal values of the jets found with FastJet can also be used to calculate more elaborate selector criteria. The syntax of this selector is - FastjetSelector: Expression: <expression> Algorithm: kt N: 0 PTMin: 0.0 ETMin: 0.0 DR: 0.4 f: 0.75 EtaMax: None YMax: None BMode: 0  wherein Algorithm can take the values kt,antikt,cambridge,siscone,eecambridge,jade. In the algebraic <expression>, MU_n2 (n=2..njet+1) signify the nodal values of the jets found and p[i] are their momenta. For details see Scale setters. For example, in lepton pair production in association with jets - FastjetSelector: Expression: Mass(p[4]+p[5])>100 Algorithm: antikt N: 2 PTMin: 40 ETMin: 0 DR: 0.5  selects all phase space points where two anti-kt jets with at least 40 GeV of transverse momentum and an invariant mass of at least 100 GeV are found. The expression must calculate a boolean value. The BMode parameter, if specified different from its default 0, allows to use b-tagged jets only, based on the parton-level constituents of the jets. There are two options: With BMode: 1 both b and anti-b quarks are counted equally towards b-jets, while for BMode: 2 they are added with a relative sign as constituents, i.e. a jet containing b and anti-b is not tagged. Note that only <epression>, <algorithm>, <n> and <ptmin> are relevant when using the lepton-lepton collider algorithms. #### 5.7.7. Isolation selector¶ Instead of the simple IsolationCut (Inclusive selectors), you may also use the more flexible Isolation_Selector to require photons (or other particles) with a smooth cone isolation and additionally apply further criteria to them. Example: SELECTORS: - Isolation_Selector: Isolation_Particle: 22 Rejection_Particles: [93] Isolation_Parameters: R: 0.1 EMAX: 0.1 EXP: 2 PT: 0. Y: 2.7 NMin: 2 Remove_Nonisolated: true Subselectors: - VariableSelector: Variable: PT Flavs: [22] Ranges: - [20, E_CMS] - [18, E_CMS] Ordering: [PT_UP] - [DR, 22, 22, 0.2, 10000.0 ] #for integration efficiency: m_yy >= sqrt(2 pTmin1 pTmin2 (1-cos dR)) - [Mass, 22, 22, 3.7, E_CMS]  #### 5.7.8. Universal selector¶ The universal selector is intended to implement non-standard cuts on the matrix element level. Its syntax is SELECTORS: - VariableSelector: Variable: <variable> Flavs: [<kf1>, ..., <kfn>] Ranges: - [<min1>, <max1>] - ... - [<minn>, <maxn>] Ordering: [<order1>, ..., <orderm>]  The Variable parameter defines the name of the variable to cut on. The keywords for available predefined can be figured by running Sherpa SHOW_VARIABLE_SYNTAX: true. Or alternatively, an arbitrary cut variable can be constructed using the internal interpreter, see Interpreter. This is invoked with the command Calc(...). In the formula specified there you have to use place holders for the momenta of the particles: p[0]p[n] hold the momenta of the respective particles kf1kfn. A list of available vector functions and operators can be found here Interpreter. <kf1>,.., specify the PDG codes of the particles the variable has to be calculated from. The ranges [<min>, <max>] then define the cut regions. If the Ordering parameter is not given, the order of cuts is determined internally, according to Sherpa’s process classification scheme. This then has to be matched if you want to have different cuts on certain different particles in the matrix element. To do this, you should put enough (for the possible number of combinations of your particles) arbitrary ranges at first and run Sherpa with debugging output for the universal selector: Sherpa 'FUNCTION_OUTPUT: {"Variable_Selector::Trigger": 15}'. This will start to produce lots of output during integration, at which point you can interrupt the run (Ctrl-c). In the Variable_Selector::Trigger(): {...} output you can see, which particle combinations have been found and which cut range your selector has held for them (vs. the arbitrary range you specified). From that you should get an idea, in which order the cuts have to be specified. If the fourth argument is given, particles are ordered before the cut is applied. Possible orderings are PT_UP, ET_UP, E_UP, ETA_UP and ETA_DOWN, (increasing p_T, E_T, E, eta, and decreasing eta). They have to be specified for each of the particles, separated by commas. Examples SELECTORS: # two-body transverse mass - VariableSelector: Variable: mT Flavs: [11, -12] Ranges: - [50, E_CMS] # cut on the pT of only the hardest lepton in the event - VariableSelector: Variable: PT Flavs: 90 Ranges: - [50, E_CMS] Ordering: [PT_UP] # using bool operations to restrict eta of the electron to |eta| < 1.1 or # 1.5 < |eta| < 2.5 - VariableSelector: Variable: Calc(abs(Eta(p[0]))<1.1||(abs(Eta(p[0]))>1.5&&abs(Eta(p[0]))<2.5)) Flavs: 11 Ranges: - [1, 1] # NOTE: this means true for bool operations # requesting opposite side tag jets in VBF - VariableSelector: Variable: Calc(Eta(p[0])*Eta(p[1])) Flavs: [93, 93] Ranges: - [-100, 0] Ordering: [PT_UP, PT_UP] # restricting electron+photon mass to be outside of [87.0,97.0] - VariableSelector: Variable: Calc(Mass(p[0]+p[1])<87.0||Mass(p[0]+p[1])>97.0) Flavs: [11, 22] Ranges: - [1, 1] # in Z[lepton lepton] Z[lepton lepton], cut on mass of lepton-pairs # produced from Z's - VariableSelector: Variable: m Flavs: [90, 90] # here we use knowledge about the internal ordering to cut only on the # correct lepton pairs Ranges: - [80, 100] - [0, E_CMS] - [0, E_CMS] - [0, E_CMS] - [0, E_CMS] - [80, 100]  #### 5.7.9. Minimum selector¶ This selector can combine several selectors to pass an event if either those passes the event. It is mainly designed to generate more inclusive samples that, for instance, include several jet finders and that allows a specification later. The syntax is SELECTORS: - MinSelector: Subselectors: - <selector 1> - <selector 2> ...  The Minimum selector can be used if constructed with other selectors mentioned in this section ### 5.8. Integration¶ The following parameters are used to steer the integration: #### 5.8.1. INTEGRATION_ERROR¶ Specifies the relative integration error target. #### 5.8.2. INTEGRATOR¶ Specifies the integrator. The possible integrator types depend on the matrix element generator. In general users should rely on the default value and otherwise seek the help of the authors, see Authors. Within AMEGIC++ the options AMEGIC: {INTEGRATOR: <type>, RS_INTEGRATOR: <type>} can be used to steer the behaviour of the default integrator. • 4: building up the channels is achieved through respecting the peak structure given by the propagators. The algorithm works recursively starting from the initial state. • 5: this is an extension of option 4. In the case of competing peaks (e.g. a Higgs boson decaying into W+W-, which further decay), additional channels are produced to account for all kinematical configurations where one of the propagating particles is produced on its mass shell. • 6: in contrast to option 4 the algorithm now starts from the final state. The extra channels described in option 5 are produced as well. This is the default integrator if both beams are hadronic. • 7: Same as option 4 but with tweaked exponents. Optimised for the integration of real-subtracted matrix-elements. This is the default integrator when at least one of the beams is not hadronic. In addition, a few ME-generator independent integrators have been implemented for specific processes: • Rambo: RAMBO [KSE86]. Generates isotropic final states. • VHAAG: Vegas-improved HAAG integrator [vHP02]. • VHAAG_res: is an integrator for a final state of a weak boson, decaying into two particles plus two or more jets based on HAAG [vHP02]. This integrator can be further configured using VHAAG sub-settings, i.e. VHAAG: {<sub-setting>: <value>}. The following sub-settings are available. RES_KF specifies the kf-code of the weak boson, the default is W (24). RES_D1 and RES_D2 define the positions of the Boson decay products within the internal naming scheme, where 2 is the position of the first outgoing particle. The defaults are 2 and 3, respectively, which is the correct choice for all processes where the decay products are the only not strongly interacting final state particles. #### 5.8.3. VEGAS_MODE¶ Specifies the mode of the Vegas adaptive integration. 0 disables Vegas, 2 enables it (default). #### 5.8.4. FINISH_OPTIMIZATION¶ Specifies whether the full Vegas optimization is to be carried out. The two possible options are true (default) and false. #### 5.8.5. PSI¶ The sub-settings for the phase space integrator can be customised as follows: PSI: <sub-setting>: <value> # more PSI settings ...  The following sub-settings exist: NMAX The maximum number of points before cuts to be generated during integration. This parameter acts on a process-by-process basis. ITMIN The minimum number of points used for every optimisation cycle. Please note that it might be increased automatically for complicated processes. ITMAX The maximum number of points used for every optimisation cycle. Please note that for complicated processes the number given might be insufficient for a meaningful optimisation. ITMIN_BY_NODE Same as ITMIN, but specified per node to allow tuning of integration performance in large-scale MPI runs. ITMAX_BY_NODE Same as ITMAX, but specified per node to allow tuning of integration performance in large-scale MPI runs. ### 5.9. Hard decays¶ The handler for decays of particles produced in the hard scattering process (e.g. W, Z, top, Higgs) can be enabled and configured using the HARD_DECAYS collection of settings (and a small number of other other top-level settings). Which (anti)particles IDs should be treated as unstable is determined by the PARTICLE_DATA:<id>:Stable switch described in Models. The syntax to configure HARD_DECAYS sub-settings is: HARD_DECAYS: <sub-setting>: <value> # more sub-settings ... Channels: <channel id>: <channel sub-setting>: <value> # more sub-settings for <channel> # more channels ...  The central setting to enable the hard decays is .. code-block:: yaml HARD_DECAYS: Enable: true The channel ID codes are of the form a,b,c,..., where a is the PDG ID of the decaying particle and b,c,... are the decay products. The IDs for the decay channels can also be found in the decay table printed to screen during the run. This decay module can also be used on top of NLO matrix elements, but it does not include any NLO corrections in the decay matrix elements themselves. Note that the decay handler is an afterburner at the event generation level. It does not affect the calculation and integration of the hard scattering matrix elements. The cross section is thus unaffected during integration, and the branching ratios (if any decay channels have been disabled) are only taken into account for the event weights and cross section output at the end of event generation (if not disabled with the HARD_DECAYS:Apply_Branching_Ratios option, cf. below). Furthermore any cuts or scale definitions are not affected by decays and operate only on the inclusively produced particles before decays. #### 5.9.1. Status¶ This sub-setting to each channel defined in HARD_DECAYS:Channels allows to explicitly force or disable a decay channel. The status can take the following values: Status: -1 Decay channel is disabled and does not contribute to total width. Status: 0 Decay channel is disabled but contributes to total width. Status: 1 (default) Decay channel is enabled. Status: 2 Decay channel is forced. For example, to disable the hadronic decay channels of the W boson one would use: HARD_DECAYS: Channels: 24,2,-1: { Status: 0 } 24,4,-3: { Status: 0 } -24,-2,1: { Status: 0 } -24,-4,3: { Status: 0 }  In the same way, the bottom decay mode of the Higgs could be forced using: 25,5,-5: { Status: 2 }  Note that the ordering of the decay products in <channel id> is important and has to be identical to the ordering in the decay table printed to screen. It is also possible to request multiple forced decay channels (Status: 2) for the same particle, all other channels will then automatically be disabled. #### 5.9.2. Width¶ This option allows to overwrite the calculated partial width (in GeV) of a given decay channel, and even to add new inactive channels which contribute to the total width. This is useful to adjust the branching ratios, which are used for the relative contributions of different channels and also influence the cross section during event generation, as well as the total width which is used for the lineshape of the resonance. An example to set (/add) the partial widths of the H->ff, H->gg and H->yy channels can be seen in the following. The values have been taken from LHC Higgs WG): PARTICLE_DATA: 25: Mass: 125.09 Width: 0.0041 HARD_DECAYS: Enabled: true Channels: 25,5,-5: { Width: 2.382E-03 } 25,15,-15: { Width: 2.565E-04 } 25,13,-13: { Width: 8.901E-07 } 25,4,-4: { Width: 1.182E-04 } 25,3,-3: { Width: 1E-06 } 25,21,21: { Width: 3.354E-04 } 25,22,22: { Width: 9.307E-06 } 25,23,22: { Width: 6.318E-06 }  Another example, setting the leptonic and hadronic decay channels of W and Z bosons to the PDG values, would be specified as follows: HARD_DECAYS: Enabled: true Channels: 24,2,-1: { Width: 0.7041 } 24,4,-3: { Width: 0.7041 } 24,12,-11: { Width: 0.2256 } 24,14,-13: { Width: 0.2256 } 24,16,-15: { Width: 0.2256 } -24,-2,1: { Width: 0.7041 } -24,-4,3: { Width: 0.7041 } -24,-12,11: { Width: 0.2256 } -24,-14,13: { Width: 0.2256 } -24,-16,15: { Width: 0.2256 } 23,1,-1: { Width: 0.3828 } 23,2,-2: { Width: 0.2980 } 23,3,-3: { Width: 0.3828 } 23,4,-4: { Width: 0.2980 } 23,5,-5: { Width: 0.3828 } 23,11,-11: { Width: 0.0840 } 23,12,-12: { Width: 0.1663 } 23,13,-13: { Width: 0.0840 } 23,14,-14: { Width: 0.1663 } 23,15,-15: { Width: 0.0840 } 23,16,-16: { Width: 0.1663 } 6,24,5: { Width: 1.32 } -6,-24,-5: { Width: 1.32 }  See also Use_HO_SM_Widths below for a global automatic switch to set these values. #### 5.9.3. Use_HO_SM_Widths¶ The partial decay widths (and thus BRs) calculated and used by the decay handler are only LO accurate. For SM setups, we provide pre-defined decay widths taking higher-order corrections into account. By default (HARD_DECAYS: { Use_HO_SM_Widths: true }) these will overwrite the LO widths with the values given in the Width example above. #### 5.9.4. HARD_SPIN_CORRELATIONS¶ Spin correlations between the hard scattering process and the following decay processes are enabled by default. If you want to disable them, e.g. for spin correlation studies, you can specify the option HARD_SPIN_CORRELATIONS: 0. This is a top-level setting as opposed to the other HARD_DECAYS-related settings. #### 5.9.5. Store_Results¶ The decay table and partial widths are calculated on-the-fly during the initialization phase of Sherpa from the given model and its particles and interaction vertices. To store these results in the Results/Decays directory, one has to specify HARD_DECAYS: { Store_Results: 1 }. In case existing decay tables are to be read in the same configuration should be done. Please note, that Sherpa will delete decay channels present in the read in results but not in the present model with present parameters by default. To prevent Sherpa from updating the decay table files accordingly specify HARD_DECAYS: { Store_Results: 2 }. #### 5.9.6. Result_Directory¶ Specifies the name of the directory where the decay results are to be stored. Defaults to the value of the top-level setting RESULT_DIRECTORY. #### 5.9.7. Set_Widths¶ The decay handler computes LO partial and total decay widths and generates decays with corresponding branching fractions, independently from the particle widths specified by PARTICLE_DATA:<id>:Width. The latter are relevant only for the core process and should be set to zero for all unstable particles appearing in the core-process final state. This guarantees on-shellness and gauge invariance of the core process, and subsequent decays can be handled by the afterburner. In constrast, PARTICLE_DATA:<id>:Width should be set to the physical width when unstable particles appear (only) as intermediate states in the core process, i.e. when production and decay are handled as a full process or using Decay/DecayOS. In this case, the option HARD_DECAYS: { Set_Widths: true } permits to overwrite the PARTICLE_DATA:<id>:Width values of unstable particles by the LO widths computed by the decay handler. #### 5.9.8. Apply_Branching_Ratios¶ By default (HARD_DECAYS: { Apply_Branching_Ratios: true }), weights for events which involve a hard decay are multiplied with the corresponding branching ratios (if decay channels have been disabled). This also means that the total cross section at the end of the event generation run already includes the appropriate BR factors. If you want to disable that, e.g. because you want to multiply with your own modified BR, you can set the option {HARD_DECAYS: { Apply_Branching_Ratios: false }. #### 5.9.9. Mass_Smearing¶ With the default of HARD_DECAYS: { Mass_Smearing: 1 } the kinematic mass of the unstable propagator is distributed according to a Breit-Wigner shape a posteriori. All matrix elements are still calculated in the narrow-width approximation with onshell particles. Only the kinematics are affected. To keep all intermediate particles onshell {HARD_DECAYS: { Mass_Smearing: 0 }. #### 5.9.10. Resolve_Decays¶ There are different options how to decide when a 1->2 process should be replaced by the respective 1->3 processes built from its decaying daughter particles. Resolve_Decays: Threshold (default) Only when the sum of decay product masses exceeds the decayer mass. Resolve_Decays: ByWidth As soon as the sum of 1->3 partial widths exceeds the 1->2 partial width. Resolve_Decays: None No 1->3 decays are taken into account. In all cases, one can exclude the replacement of a particle below a given width threshold using Min_Prop_Width: (default 0.0). Both settings are sub-settings of HARD_DECAYS: HARD_DECAYS: Resolve_Decays: <mode> Min_Prop_Width: <threshold>  #### 5.9.11. Decay_Tau¶ By default, the tau lepton is decayed by the hadron decay module, Hadron decays, which includes not only the leptonic decay channels but also the hadronic modes. If Decay_Tau: true is specified, the tau lepton will be decayed in the hard decay handler, which only takes leptonic and partonic decay modes into account. Note, that in this case the tau needs to also be set massive: PARTICLE_DATA: 15: Massive: true HARD_DECAYS: Decay_Tau: true  #### 5.9.12. Decay table integration settings¶ Three parameters can be used to steer the accuracy and time consumption of the calculation of the partial widths in the decay table: Int_Accuracy: 0.01 specifies a relative accuracy for the integration. The corresponding target reference is either the given total width of the decaying particle (Int_Target_Mode: 0, default) or the calculated partial decay width (Int_Target_Mode: 1). The option Int_NIter: 2500 can be used to change the number of points per integration iteration, and thus also the minimal number of points to be used in an integration. All decay table integration settings are sub-settings of HARD_DECAYS. ### 5.10. Parton showers¶ The following parameters are used to steer the shower setup. #### 5.10.1. SHOWER_GENERATOR¶ There are two shower generators in Sherpa, Dire (default) and CSS. See the module summaries in Basic structure for details about these showers. Other shower modules are in principle supported and more choices will be provided by Sherpa in the near future. To list all available shower modules, the tag SHOW_SHOWER_GENERATORS: 1 can be specified on the command line. SHOWER_GENERATOR: None switches parton showering off completely. However, even in the case of strict fixed order calculations, this might not be the desired behaviour as, for example, then neither the METS scale setter, cf. SCALES, nor Sudakov rejection weights can be employed. To circumvent when using the Dire or CS Shower see Sherpa Shower options. #### 5.10.2. JET_CRITERION¶ This option uses the value for SHOWER_GENERATOR as its default. Correspondingly, the only natively supported options in Sherpa are CSS and Dire. The corresponding jet criterion is described in [HKSS09]. A custom jet criterion, tailored to a specific experimental analysis, can be supplied using Sherpa’s plugin mechanism. #### 5.10.3. MASSIVE_PS¶ This option instructs Sherpa to treat certain partons as massive in the shower, which have been considered massless by the matrix element. The argument is a list of parton flavours, for example MASSIVE_PS: [4, 5], if both c- and b-quarks are to be treated as massive. #### 5.10.4. MASSLESS_PS¶ When hard decays are used, Sherpa treats all flavours as massive in the parton shower. This option instructs Sherpa to treat certain partons as massless in the shower nonetheless. The argument is a list of parton flavours, for example MASSLESS_PS: [1, 2, 3], if u-, d- and s-quarks are to be treated as massless. #### 5.10.5. Sherpa Shower options¶ Sherpa’s default shower module is based on [SK08b]. A new ordering parameter for initial state splitters was introduced in [HKSS09] and a novel recoil strategy for initial state splittings was proposed in [HSS10]. While the ordering variable is fixed, the recoil strategy for dipoles with initial-state emitter and final-state spectator can be changed for systematics studies. Setting CSS_KIN_SCHEME: 0 corresponds to using the recoil scheme proposed in [HSS10], while CSS_KIN_SCHEME: 1 (default) enables the original recoil strategy. The lower cutoff of the shower evolution can be set via CSS_FS_PT2MIN and CSS_IS_PT2MIN for final and initial state shower, respectively. Note that this value is specified in GeV^2. Scale factors for the evaluation of the strong coupling in the parton shower are given by CSS_FS_AS_FAC and CSS_IS_AS_FAC. They multiply the ordering parameter, which is given in units of GeV^2. Setting CSS_MAXEM: forces the CS Shower to truncate its evolution at the Nth emission. Note that in this case not all of the Sudakov weights might be computed correctly. On the other hand, the use of CS Shower in the METS scale setter is not affected, cf. SCALES. The parton shower coupling scales, PDF scales and PDF themselves can be varied on-the-fly, along with the on-the-fly variations of the corresponding matrix element parameters. See On-the-fly event weight variations to find out how specify the variations and enable them in the shower. #### 5.10.6. CS Shower options¶ By default, only QCD splitting functions are enabled in the CS shower. If you also want to allow for photon splittings, you can enable them by using CSS_EW_MODE: true. Note, that if you have leptons in your matrix-element final state, they are by default treated by a soft photon resummation as explained in QED corrections. To avoid double counting, this has to be disabled as explained in that section. The evolution variable of the CS shower can be changed using CSS_EVOLUTION_SCHEME. Several options are currently implemented: 0 transverse momentum ordering 1 modified transverse momentum ordering. 2 like 0 but parton masses taken into account 3 like 1 but parton masses taken into account 20 like 0 but parton masses taken into account only for g->QQ 30 like 1 but parton masses taken into account only for g->QQ The scale at which the strong coupling for shower splittings is evaluated can be chosen with CSS_SCALE_SCHEME: 0 ordering parameter 1 invariant mass 2 parton masses taken into account for massive splittings 20 parton masses taken into account for g->QQ splittings Additionally, the CS shower allows to disable splittings at scales below the on-shell mass of heavy quarks. The upper limit for the corresponding heavy quark mass is set using CSS_MASS_THRESHOLD. ### 5.11. Multiple interactions¶ The basic MPI model is described in [SvZ87] while Sherpa’s implementation details are discussed in [A+a]. The following parameters are used to steer the MPI setup: #### 5.11.1. MI_HANDLER¶ Specifies the MPI handler. The two possible values at the moment are None and Amisic. #### 5.11.2. MI ISR parameters¶ The following two parameters can be used to overwrite the ISR parameters in the context of multiple interactions: MPI_PDF_SET, MPI_PDF_SET_VERSIONS. #### 5.11.3. TURNOFF¶ Specifies the transverse momentum turnoff in GeV. #### 5.11.4. SCALE_MIN¶ Specifies the transverse momentum integration cutoff in GeV. #### 5.11.5. PROFILE_FUNCTION¶ Specifies the hadron profile function. The possible values are Exponential, Gaussian and Double_Gaussian. For the double gaussian profile, the relative core size and relative matter fraction can be set using PROFILE_PARAMETERS. #### 5.11.6. PROFILE_PARAMETERS¶ The potential parameters for hadron profile functions, see PROFILE_FUNCTION. For double gaussian profiles there are two parameters, corresponding to the relative core size and relative matter fraction. #### 5.11.7. REFERENCE_SCALE¶ Specifies the centre-of-mass energy at which the transverse momentum integration cutoff is used as is, see SCALE_MIN. This parameter should not be changed by the user. The default is 1800, corresponding to Tevatron Run I energies. #### 5.11.8. RESCALE_EXPONENT¶ Specifies the rescaling exponent for fixing the transverse momentum integration cutoff at centre-of-mass energies different from the reference scale, see SCALE_MIN, REFERENCE_SCALE. #### 5.11.9. TURNOFF_EXPONENT¶ Specifies the rescaling exponent for fixing the transverse momentum turnoff at centre-of-mass energies different from the reference scale, see TURNOFF, REFERENCE_SCALE. #### 5.11.10. SIGMA_ND_FACTOR¶ Specifies the factor to scale the non-diffractive cross section calculated in the MPI initialisation. #### 5.11.11. MI_RESULT_DIRECTORY¶ Specifies the name of the directory where the MPI grid is stored. The default comprises the beam particles, their energies and the PDF used. In its default value, this information safeguards against using unsuitable grids for the current calculation. #### 5.11.12. MI_RESULT_DIRECTORY_SUFFIX¶ Supplements the default directory name for the MPI grid with a suffix. ### 5.12. Hadronization¶ The hadronization setup covers the fragmentation of partons into primordial hadrons as well as the decays of unstable hadrons into stable final states. #### 5.12.1. Fragmentation¶ ##### 5.12.1.1. Fragmentation models¶ The FRAGMENTATION parameter sets the fragmentation module to be employed during event generation. • The default is Ahadic, enabling Sherpa’s native hadronization model AHADIC++, based on the cluster fragmentation model introduced in [FW83], [Web84], [GM87], and [MW88] and implementing some modifications discussed in [WKS04]. • The hadronization can be disabled with the value None. • To evaluate uncertainties stemming from the hadronization, Sherpa also provides an interface to the Lund string fragmentation in Pythia 8.3 [SAC+15] by using the setting Pythia8. In this case, the standard Pythia settings can be used to steer the behaviour of the Lund string, see [SAC+15]. They are specified in their usual form in Pythia in a dedicated settings block. Additionally a choice can be made to let Pythia directly handle hadron decays via the DECAYS setting (separate from the DECAYMODEL switch mentioned below) and whether Pythias or Sherpas default masses and widths should be used through the SHERPA_MASSES setting. By default the choice of generator for the masses and widths setting aligns with the decay setting. SHERPA_LDADD: SherpaPythia FRAGMENTATION: Pythia8 PYTHIA8: PARAMETERS: - StringZ:aLund: 0.68 - StringZ:bLund: 0.98 ... DECAYS: true SHERPA_MASSES: false  • Alternatively, Sherpa also provides an interface to Pythia 6.4 [SMS06] by using the setting Lund. In this case, the standard Pythia switches MSTJ, MSTP, MSTU, PARP, PARJ and PARU can be used to steer the behaviour of the Lund string, see [SMS06]. They can be specified as a 2xN matrix: FRAGMENTATION: Lund MSTJ: - [<number1>, <value1>] - [<number2>, <value2>] ... MSTP: - [<number1>, <value1>] ...  ##### 5.12.1.2. Hadron constituents¶ The constituent masses of the quarks and diquarks are given by • M_UP_DOWN (0.3 GeV), • M_STRANGE (0.4 GeV), • M_CHARM (1.8 GeV), and • M_BOTTOM (5.1 GeV). The diquark masses are composed of the quark masses and some additional parameters, with • M_DIQUARK_OFFSET (0.3 GeV), • M_BIND_0 (0.12 GeV), and • M_BIND_1 (0.5 GeV). Like all settings related to cluster fragmentation these are grouped under AHADIC. AHADIC: - M_UP_DOWN: 0.3 ... - M_DIQUARK_OFFSET: 0.3  ##### 5.12.1.3. Hadron multiplets¶ For the selection of hadrons emerging in such cluster transitions and decays, an overlap between the cluster flavour content and the flavour part of the hadronic wave function is formed. This may be further modified by production probabilities, organised by multiplet and given by the parameters • MULTI_WEIGHT_R0L0_PSEUDOSCALARS (default 1.0), • MULTI_WEIGHT_R0L0_VECTORS (default 1.0), • MULTI_WEIGHT_R0L0_TENSORS2 (default 0.75), • MULTI_WEIGHT_R0L1_SCALARS (default 0.0), • MULTI_WEIGHT_R0L1_AXIALVECTORS (default 0.0), • MULTI_WEIGHT_R0L2_VECTORS (default 0.0), • MULTI_WEIGHT_R0L0_N_1/2 (default 1.0), • MULTI_WEIGHT_R1L0_N_1/2 (default 0.0), • MULTI_WEIGHT_R2L0_N_1/2 (default 0.0), • MULTI_WEIGHT_R1_1L0_N_1/2 (default 0.0), • MULTI_WEIGHT_R0L0_DELTA_3/2 (default 0.25), In addition, there is a suppression factors applied to meson singlets, • SINGLET_SUPPRESSION (default 1.0). For the latter, Sherpa also allows to redefine the mixing angles through parameters such as • Mixing_0+ (default -14.1/180*M_PI), • Mixing_1- (default 36.4/180*M_PI), • Mixing_2+ (default 27.0/180*M_PI), • Mixing_3- (default 0.5411), • Mixing_4+ (default 0.6283), And finally, some modifiers are applied to individual hadrons: • ETA_MODIFIER (default 0.12), • ETA_PRIME_MODIFIER (default 1.0), ##### 5.12.1.4. Cluster transition to hadrons - flavour part¶ The phase space effects due to these masses govern to a large extent the flavour content of the non-perturbative gluon splittings at the end of the parton shower and in the decay of clusters. They are further modified by relative probabilities with respect to the production of up/down flavours through the parameters • STRANGE_FRACTION (default 0.42), • BARYON_FRACTION (default 1.0), • CHARM_BARYON_MODIFIER (default 1.0), • BEAUTY_BARYON_MODIFIER (default 1.0), • P_{QS/P_{QQ}} (default 0.2), • P_{SS/P_{QQ}} (default 0.04), and • P_{QQ_1/P_{QQ_0}} (default 0.20). The transition of clusters to hadrons is governed by the following considerations: • Clusters can be interpreted as excited hadrons, with a continous mass spectrum. • When a cluster becomes sufficiently light such that its mass is below the largest mass of any hadron with the same flavour content, it must be re-iterpreted as such a hadron. In this case it will be shifted on the corresponding hadron mass, and the recoil will be distributed to the “neighbouring” clusters or by emitting a soft photon. This comparison of masses clearly depends on the multiplets switched on in AHADIC++. • In addition, clusters may becomes sufficiently light such that they should decay directly into two hadrons instead of two clusters. This decision is based on the heaviest hadrons accessible in a decay, modulated by another offset parameter, • DECAY_THRESHOLD (default 500 MeV). • If both options, transition and decay, are available, there is a competition between ##### 5.12.1.5. Cluster transition and decay weights¶ The probability for a cluster C to be transformed into a hadron H is given by a combination of weights, obtained from the overlap with the flavour part of the hadronic wave function, the relative weight of the corresponding multiplet and a kinematic weight taking into account the mass difference of cluster and hadron and the width of the latter. For the direct decay of a cluster into two hadrons the overlaps with the wave functions of all hadrons, their respective multiplet suppression weights, the flavour weight for the creation of the new flavour q and a kinematical factor are relevant. Here, yet another tuning paramter enters, • MASS_EXPONENT (default 4.0) which partially compensates phase space effects favouring light hadrons, ##### 5.12.1.6. Cluster decays - kinematics¶ Cluster decays are generated by firstly emitting a non-perturbative “gluon” from one of the quarks, using a transverse momentum distribution as in the non-perturbative gluon decays, see below, and by then splitting this gluon into a quark–antiquark of anti-diquark–diquark pair, again with the same kinematics. In the first of these splittings, the emission of the gluon, though, the energy distribution of the gluon is given by the quark splitting function, if this quark has been produced in the perturbative phase of the event. If, in contrast, the quark stems from a cluster decay, the energy of the gluon is selected according to a flat distribution. In clusters decaying to hadrons, the transverse momentum is chosen according to a distribution given by an infrared-continued strong coupling and a term inversemly proportional to the infrared-modified transverse momentum, constrained to be below a maximal transverse momentum. ##### 5.12.1.7. Splitting kinematics¶ In each splitting, the kinematics is given by the transverse momentum, the energy splitting parameter and the azimuthal angle. The latter, the azimuthal angle is always seleectred according to a flat distribution, while the energy splitting parameter will either be chosen according to the quark-to-gluon splitting function (if the quark is a leading quark, i.e. produced in the pertrubative phase), to the gluon-to-quark splitting function, or according to a flat distribution. The transverse momentum is given by the same distribution as in the cluster decays to hadrons. #### 5.12.2. Hadron decays¶ The treatment of hadron and tau decays is specified by DECAYMODEL. Its allowed values are either the default choice Hadrons (the default if FRAGMENTATION: Ahadic), Lund (the default if FRAGMENTATION: Lund), or it can be disabled with the option Off. HADRONS++ is the module within the Sherpa framework which is responsible for treating hadron and tau decays. It contains decay tables with branching ratios for approximately 2500 decay channels, of which many have their kinematics modelled according to a matrix element with corresponding form factors. Especially decays of the tau lepton and heavy mesons have form factor models similar to dedicated codes like Tauola [JWDK93] and EvtGen [Lan01]. Some general switches which relate to hadron decays are • DECAYPATH The path to the parameter files for the hadron and tau decays (default: Decaydata/). It is important to note that the path has to be given relative to the current working directory. If it doesn’t exist, the default Decaydata directory (<prefix>/share/SHERPA-MC/Decaydata) will be used. • Hadron properties like mass, width, stable/unstable and active can be set in full analogy to the settings for fundamental particles using PARTICLE_DATA, cf. Models. • SOFT_MASS_SMEARING = [0,1,2] (default: 1) Determines whether particles entering the hadron decay event phase should be put off-shell according to their mass distribution. It is taken care that no decay mode is suppressed by a potentially too low mass. While HADRONS++ determines this dynamically from the chosen decay channel, for Pythia as hadron decay handler its w-cut parameter is employed. Choosing option 2 instead of 1 will only set unstable (decayed) particles off-shell, but leave stable particles on-shell. • MAX_PROPER_LIFETIME = [mm] (default: 10.0) Parameter for maximum proper lifetime (in mm) up to which particles are considered unstable. This will make long-living particles stable, even if they are set unstable by default or by the user. If you do not want to set this globally, set this to a value of -1 and steer the stability through PARTICLE_DATA, cf. Models. Many aspects of the above mentioned “Decaydata” can be adjusted. There exist three levels of data files, which are explained in the following sections. As with all other setup files, the user can either employ the default “Decaydata” in <prefix>/share/SHERPA-MC/Decaydata, or overwrite it (also selectively) by creating the appropriate files in the directory specified by DECAYPATH. ##### 5.12.2.1. HadronDecays.dat¶ HadronDecays.dat consists of a table of particles that are to be decayed by HADRONS++. Note: Even if decay tables exist for the other particles, only those particles decay that are set unstable, either by default, or in the model/fragmentation settings. It has the following structure, where each line adds one decaying particle:  .dat decaying particle path to decay table decay table file default names: / Decays.dat It is possible to specify different decay tables for the particle (positive kf-code) and anti-particle (negative kf-code). If only one is specified, it will be used for both particle and anti-particle. If more than one decay table is specified for the same kf-code, these tables will be used in the specified sequence during one event. The first matching particle appearing in the event is decayed according to the first table, and so on until the last table is reached, which will be used for the remaining particles of this kf-code. Additionally, this file may contain the keyword CREATE_BOOKLET on a separate line, which will cause HADRONS++ to write a LaTeX document containing all decay tables. ##### 5.12.2.2. Decay table files¶ The decay table contains information about outgoing particles for each channel, its branching ratio and eventually the name of the file that stores parameters for a specific channel. If the latter is not specified HADRONS++ will produce it and modify the decay table file accordingly. Additionally to the branching ratio, one may specify the error associated with it, and its source. Every hadron is supposed to have its own decay table in its own subdirectory. The structure of a decay table is  {kf1,kf2,kf3,…} BR(delta BR)[Origin] .dat outgoing particles branching ratio decay channel file It should be stressed here that the branching ratio which is explicitly given for any individual channel in this file is always used regardless of any matrix-element value. ##### 5.12.2.3. Decay channel files¶ A decay channel file contains various information about that specific decay channel. There are different sections, some of which are optional: • <Options> AlwaysIntegrate = 0 CPAsymmetryC = 0.0 CPAsymmetryS = 0.0 </Options>  • AlwaysIntegrate = [0,1] For each decay channel, one needs an integration result for unweighting the kinematics (see below). This result is stored in the decay channel file, such that the integration is not needed for each run. The AlwaysIntegrate option allows to bypass the stored integration result, and do the integration nonetheless (same effect as deleting the integration result). • CPAsymmetryC/CPAsymmetryS If one wants to include time dependent CP asymmetries through interference between mixing and decay one can set the coefficients of the cos and sin terms respectively. HADRONS++ will then respect these asymmetries between particle and anti-particle in the choice of decay channels. • <Phasespace> 1.0 MyIntegrator1 0.5 MyIntegrator2 </Phasespace>  Specifies the phase-space mappings and their weight. • <ME> 1.0 0.0 my_matrix_element[X,X,X,X,X,...] 1.0 0.0 my_current1[X,X,...] my_current2[X,X,X,...] </ME>  Specifies the matrix elements or currents used for the kinematics, their respective weights, and the order in which the particles (momenta) enter them. For more details, the reader is referred to [KLS]. • <my_matrix_element[X,X,X,X,X,...]> parameter1 = value1 parameter2 = value2 ... </my_matrix_element[X,X,X,X,X,...]>  Each matrix element or current may have an additional section where one can specify needed parameters, e.g. which form factor model to choose. Each parameter has to be specified on a new line as shown above. Available parameters are listed in [KLS]. Parameters not specified get a default value, which might not make sense in specific decay channels. One may also specify often needed parameters in HadronConstants.dat, but they will get overwritten by channel specific parameters, should these exist. • <Result> 3.554e-11 6.956e-14 1.388e-09; </Result>  These last three lines have quite an important meaning. If they are missing, HADRONS++ integrates this channel during the initialization and adds the result lines. If this section exists though, and AlwaysIntegrate is off (the default value, see above) then HADRONS++ reads in the maximum for the kinematics unweighting. Consequently, if some parameters are changed (also masses of incoming and outgoing particles) the maximum might change such that a new integration is needed in order to obtain correct kinematical distributions. There are two ways to enforce the integration: either by deleting the last three lines or by setting AlwaysIntegrate to 1. When a channel is re-integrated, HADRONS++ copies the old decay channel file into .<filename>.dat.old. ##### 5.12.2.4. HadronConstants.dat¶ HadronConstants.dat may contain some globally needed parameters (e.g. for neutral meson mixing, see [KLS]) and also fall-back values for all matrix-element parameters which one specifies in decay channel files. Here, the Interference_X = 1 switch would enable rate asymmetries due to CP violation in the interference between mixing and decay (cf. Decay channel files), and setting Mixing_X = 1 enables explicit mixing in the event record according to the time evolution of the flavour states. By default, the mixing parameters are set to the following values: # x_K = 0.946 # y_K = -0.9965 # qoverp2_K = 1.0 # Interference_K = 0 # Mixing_K = 0 x_D = 0.0032 y_D = 0.0069 qoverp2_D = 1.0 Interference_D = 0 Mixing_D = 1 x_B = 0.770 y_B = 0.0069 qoverp2_B = 1.0 Interference_B = 0 Mixing_B = 1 x_B(s) = 26.72 y_B(s) = 0.130 qoverp2_B(s) = 1.0 Interference_B(s) = 0 Mixing_B(s) = 1  ##### 5.12.2.5. Further remarks¶ Spin correlations: a spin correlation algorithm is implemented. It can be switched on through the setting SOFT_SPIN_CORRELATIONS: 1. If spin correlations for tau leptons produced in the hard scattering process are supposed to be taken into account, one needs to specify HARD_SPIN_CORRELATIONS: 1 as well. If using AMEGIC++ as ME generator, note that the Process libraries have to be re-created if this is changed. Adding new channels: if new channels are added to HADRONS++ (choosing isotropic decay kinematics) a new decay table must be defined and the corresponding hadron must be added to HadronDecays.dat. The decay table merely needs to consist of the outgoing particles and branching ratios, i.e. the last column (the one with the decay channel file name) can safely be dropped. By running Sherpa it will automatically produce the decay channel files and write their names in the decay table. Some details on tau decays: $$\tau$$ decays are treated within the HADRONS++ framework, even though the $$\tau$$ is not a hadron. As for many hadron decays, the hadronic tau decays have form factor models implemented, for details the reader is referred to [KLS]. ### 5.13. QED corrections¶ Higher order QED corrections are effected both on hard interaction and, upon their formation, on each hadron’s subsequent decay. The Photons [SK08a] module is called in both cases for this task. It employes a YFS-type resummation [YFS61] of all infrared singular terms to all orders and is equipped with complete first order corrections for the most relevant cases (all other ones receive approximate real emission corrections built up by Catani-Seymour splitting kernels). #### 5.13.1. General Switches¶ The relevant switches to steer the higher order QED corrections are collected in the YFS settings group and are modified like this: YFS: <option1>: <value1> <option2>: <value2> ...  The options are ##### 5.13.1.1. MODE¶ The keyword MODE determines the mode of operation of Photons. MODE: None switches Photons off. Consequently, neither the hard interaction nor any hadron decay will be corrected for soft or hard photon emission. MODE: Soft sets the mode to “soft only”, meaning soft emissions will be treated correctly to all orders but no hard emission corrections will be included. With MODE: Full these hard emission corrections will also be included up to first order in alpha_QED. This is the default setting. ##### 5.13.1.2. USE_ME¶ The switch USE_ME tells Photons how to correct hard emissions to first order in alpha_QED. If USE_ME: 0, then Photons will use collinearly approximated real emission matrix elements. Virtual emission matrix elements of order alpha_QED are ignored. If, however, YFS_USE_ME=1, then exact real and/or virtual emission matrix elements are used wherever possible. These are presently available for V->FF, V->SS, S->FF, S->SS, S->Slnu, S->Vlnu type decays, Z->FF decays and leptonic tau and W decays. For all other decay types general collinearly approximated matrix elements are used. In both approaches all hadrons are treated as point-like objects. The default setting is USE_ME: 1. This switch is only effective if MODE: Full. ##### 5.13.1.3. IR_CUTOFF¶ IR_CUTOFF sets the infrared cut-off dividing the real emission in two regions, one containing the infrared divergence, the other the “hard” emissions. This cut-off is currently applied in the rest frame of the multipole of the respective decay. It also serves as a minimum photon energy in this frame for explicit photon generation for the event record. In contrast, all photons below with energy less than this cut-off will be assumed to have negligible impact on the final-state momentum distributions. The default is IR_CUTOFF: 1E-3 (GeV). Of course, this switch is only effective if Photons is switched on, i.e. MODE is not set to None. #### 5.13.2. QED Corrections to the Hard Interaction¶ The switches to steer QED corrections to the hard scattering are collected in the ME_QED settings group and are modified like this: ME_QED: <option1>: <value1> <option2>: <value2> ...  The following options can be customised: ##### 5.13.2.1. ENABLED¶ ENABLED: false turns the higher order QED corrections to the matrix element off. The default is true. Switching QED corrections to the matrix element off has no effect on QED Corrections to Hadron Decays. The QED corrections to the matrix element will only be effected on final state not strongly interacting particles. If a resonant production subprocess for an unambiguous subset of all such particles is specified via the process declaration (cf. Processes) this can be taken into account and dedicated higher order matrix elements can be used (if YFS: { MODE: Full, USE_ME: 1 }). ##### 5.13.2.2. CLUSTERING_ENABLED¶ CLUSTERING_ENABLED: false switches the phase space point dependent identification of possible resonances within the hard matrix element on or off, respectively. The default is true. Resonances are identified by recombining the electroweak final state of the matrix element into resonances that are allowed by the model. Competing resonances are identified by their on-shell-ness, i.e. the distance of the decay product’s invariant mass from the nominal resonance mass in units of the resonance width. ##### 5.13.2.3. CLUSTERING_THRESHOLD¶ Sets the maximal distance of the decay product invariant mass from the nominal resonance mass in units of the resonance width in order for the resonance to be identified. The default is CLUSTERING_THRESHOLD: 10.0. #### 5.13.3. QED Corrections to Hadron Decays¶ If the Photons module is switched on, all hadron decays are corrected for higher order QED effects. ### 5.14. Approximate Electroweak Corrections¶ As an alternative to the complete set of NLO EW corrections, methods restricted to the leading effects due to EW loops are available in Sherpa. In particular at energy scales $$Q$$ large compared to the masses of the EW gauge bosons, contributions from virtual W- and Z-boson exchange and corresponding collinear real emissions dominate. The leading contributions are Sudakov-type logarithms of the form [Sud56][CC99]. $\frac{\alpha}{4\pi \sin^2\theta_W}\log^2\left(\frac{Q^2}{M^2_W}\right)\quad\text{and}\quad \frac{\alpha}{4\pi \sin^2\theta_W}\log\left(\frac{Q^2}{M^2_W}\right)\,.$ The one-loop EW Sudakov approximation, dubbed EWsud, has been developed for general processes in [DP01a][DP01b]. A corresponding automated implementation in the Sherpa framework, applicable to all common event generation modes of Sherpa, including multijet-merged calculations, has been presented in [BN20] and [BNSchonherr+21]. Another available approximation, dubbed EWvirt, was devised in [KLMaierhofer+16]. It comprises exact renormalised NLO EW virtual corrections and integrated approximate real-emission subtraction terms, thereby neglecting in particular hard real-emission contributions. However, both methods qualify for a rather straightforward inclusion of the dominant EW corrections in state-of-the-art matrix-element plus parton-shower simulations. In the following we will discuss how to enable the calculation of thew EWsud and EWvirt corrections, and what options are available to steer their evaluation, beginning with EWvirt. #### 5.14.1. EWvirt¶ One option to enable EWvirt corrections is to use KFACTOR: EWvirt. Note that this only works for LO calculations (both with and without the shower, including MEPSatLO). The EW virtual matrix element must be made available (for all process multiplicities) using a suitable Loop_Generator. The EWvirt correction will then be directly applied to the nominal event weight. The second option, which is only available for MEPSatNLO, applies the EWvirt correction (and optionally subleading LO corrections) to all QCD NLO multiplities. For this to work, one must use the the following syntax: ASSOCIATED_CONTRIBUTIONS_VARIATIONS: - [EW] - [EW, LO1] - [EW, LO1, LO2] - [EW, LO1, LO2, LO3]  Each entry of ASSOCIATED_CONTRIBUTIONS_VARIATIONS defines a variation and the different associated contributions that should be taken into account for the corresponding alternative weight. Note that the respective associated contribution must be listed in the process setting Associated_Contributions. The additional event weights can then be written into the event output. However, this is currently only supported for HepMC_GenEvent and HepMC_Short with versions >=2.06 and HEPMC_USE_NAMED_WEIGHTS: true. The alternative event weight names are either ASS<contrib>, MULTIASS<contrib>, or EXPASS<contrib> for additive, multiplicative, and exponentiated combinations, correspondingly. See On-the-fly event weight variations for more information on variation weights and the variation weight naming scheme. #### 5.14.2. EWsud¶ The EWsud module must be enabled during configuration of Sherpa using the --enable-ewsud switch. Similar to EWvirt, also with the EWsud corrections there is the option to use it via KFACTOR: EWsud, which will apply the corrections directly to the nominal event weight, or as on-the-fly variations adding the following entry to the list of variations (also cf. On-the-fly event weight variations): VARIATIONS: - EWsud  Using the latter, corrections are provided as alternative event weights. The most useful entries of the event weight list are accessed using the keys EWsud and EWsud_Exp. The first is the nominal event weight corrected by the NLL EWsud corrections, while the latter first exponentiates the corrections prior to applying it to the nominal event weight, thus giving a resummed NLL result. The following configuration snippet shows the options steering the EWsud calculation, along with their default values: EWSUD: THRESHOLD: 5.0 INCLUDE_SUBLEADING: false CLUSTERING_THRESHOLD: 10.0  • THRESHOLD gives the minimal invariant mass (in units of the W mass) for each external pair of particles $$k$$ and $$l$$, $$r_{kl}$$, defining the high energy limit. If any of the invariant masses is below this value for a given event, then no EWsud correction is calculated. • INCLUDE_SUBLEADING determines whether a formally subleading term proportional to $$\log^2(r_{kl} / \hat s)$$ is included, where $$\hat s$$ is the Mandelstam variable for the partonic process, see [BNSchonherr+21]. • CLUSTERING_THRESHOLD determines the number of vector boson decay widths, for which a given lepton pair with the right quantum numbers is still allowed to be clustered prior to the calculation of the EWsud correction. For reasoning, see again [BNSchonherr+21]. We next list all possible technical parameters under the scope of EWSUD. They are mostly meant for internal or consistency checks and are advisable only to expert users. • RS boolean flag to determine whether or not to apply the EWSudakov corrections to RS type events, defaults to true. • CHECK boolean flag to enable/disable internal checks on the logarithmic coefficients for various simple processes. Defaults to false and prevents normal running when set to true, in that it terminates the run after having checked the coefficients. • CHECK_KFACTOR Same as CHECK but at the level of KFACTOR. • CHECK_LOG_FILE Specify a filename in which to store the result of CHECK, defaults to a null string. • CHECKINVARIANTRATIOS boolean flag used to enforce a stricter definition of High Energy Limit, defaults to false. • COEFF_REMOVED_LIST list of logarithic coefficients that can be ignored, defaults to empty, meaning that all coefficients are included. The available options are: LSC, Z, SSC, C, Yuk, PR and I. See [BN20] for further details. • C_COEFF_IGNORES_VECTOR_BOSONS boolean flag to control whether or not Vector Boson contributions should be included in the calculation of the C coefficient. Defaults to false, and can be used to check the PR logarithms, given that for some procs the contributions to C from vector bosons and the PR coefficients cancel. • HIGH_ENERGY_SCHEME different implementations of the High Energy limit conditions. At the moment only Default is fully implemented, all other available options imply that no check is enforced on the configurations, and a contribution is calculated independently on whether or we are in the high energy limit. • PRINT_GRAPHS sets the name of the directory where to save graphs associated to processes generated by the EWSudakov calculation. Same as Print_Graphs. ### 5.15. Minimum bias events¶ Minimum bias events are simulated through the Shrimps module in Sherpa. #### 5.15.1. Physics of Shrimps¶ ##### 5.15.1.1. Inclusive part of the model¶ Shrimps is based on the KMR model [RMK09], which is a multi-channel eikonal model. The incoming hadrons are written as a superposition of Good-Walker states, which are diffractive eigenstates that diagalonise the T-matrix. This allows to include low-mass diffractive excitation. Each combination of colliding Good-Walker states gives rise to a single-channel eikonal. The final eikonal is the superposition of the single-channel eikonals. The number of Good-Walker states is 2 in Shrimps (the original KMR model includes 3 states). Each single-channel eikonal can be seen as the product of two parton densities, one from each of the colliding Good-Walker states. The evolution of the parton densities in rapidity due to extra emissions and absoption on either of the two hadrons is described by a set of coupled differential equations. The parameter Delta, which can be interpreted as the Pomeron intercept, is the probability for emitting an extra parton per unit of rapidity. The strength of absorptive corrections is quantified by the parameter lambda, which can also be seen as the triple-Pomeron coupling. A small region of size deltaY around the beams is excluded from the evolution due to the finite longitudinal size of the parton densities. The boundary conditions for the parton densities are form factors, which have a dipole form characterised by the parameters Lambda2, beta_02(mb), kappa and xi. In this framework the eikonals and the cross sections for the different modes (elastic, inelastic, single- and double-diffractive) are calculated. ##### 5.15.1.2. Exclusive part of the model¶ The description of this part of the model is outdated and needs to be updated. Please contact the Authors if you need more information. #### 5.15.2. Parameters and settings¶ Below is a list of all relevant parameters to steer the Shrimps module. ##### 5.15.2.1. Generating minimum bias events¶ To generate minimum bias events with Shrimps EVENT_TYPE has to be set to MinimumBias and SOFT_COLLISIONS to Shrimps. ##### 5.15.2.2. Shrimps Mode¶ The setup of minimum bias events is done via top-level settings. The exact choice is steered through the parameter Shrimps_Mode (default Inelastic), which allows the following settings: • Xsecs, which will only calculate total, elastic, inelastic, single- and double-diffractive cross sections at various relevant energies and write them to a file, typically ‘InclusiveQuantities/Xsecs.dat’; • Elastic generates elastic events at a fixed energy; • Single-diffractive generates low-mass single-diffractive events at a fixed energy, modelled by the transition of one of the protons to a N(1440) state; • Double-diffractive generates low-mass single-diffractive events at a fixed energy, modelled by the transition of both protons to N(1440) states; • Quasi-elastic generates a combination of elastic, single- and double-diffractive events in due proportion; • Inelastic generates inelastic minimum bias events through the exchange of t-channel gluons or singlets (pomerons). This mode actually will include large mass diffraction; • All generates a combination of quasi-elastic and inelastic events in due proportion. ##### 5.15.2.3. Parameters of the eikonals¶ The parameters of the differential equations for the parton densities are • Delta (default 0.3): perturbative Pomeron intercept • lambda (default 0.5): triple Pomeron coupling • deltaY (default 1.5): rapidity interval excluded from evolution The form factors are of the form: $F_{1/2}(q_T) = \beta_0^2 (1 \pm \kappa) \frac{\exp(\frac{-\xi (1 \pm \kappa)q_T^2}{\Lambda^2})}{(1 + (1 \pm \kappa)q_T^2/\Lambda^2)^2}$ with the parameters • $$\Lambda^2$$ (default 1.7 GeV^2) • $$\beta_0^2(mb)$$ (default 25.0 mb) • $$\kappa$$ (default 0.6) • $$\xi$$ (default 0.2) ##### 5.15.2.4. Parameters for event generation¶ The description of these parameters is outdated and needs to be updated. Please contact the Authors if you need more information. ## 6. Tips and tricks¶ ### 6.1. Shell completion¶ Sherpa will install a file named prefix/share/SHERPA-MC/sherpa-completion which contains tab completion functionality for the bash shell. You simply have to source it in your active shell session by running

$.$prefix/share/SHERPA-MC/sherpa-completion


and you will be able to tab-complete any parameters on a Sherpa command line.

To permanently enable this feature in your bash shell, you’ll have to add the source command above to your ~/.bashrc.

### 6.2. Rivet analyses¶

Sherpa is equipped with an interface to the analysis tool Rivet. To enable it, Rivet and HepMC have to be installed (e.g. using the Rivet bootstrap script) and your Sherpa compilation has to be configured with the following options:

$./configure --enable-hepmc3=/path/to/hepmc3 --enable-rivet=/path/to/rivet  (Note: Both paths are equal if you used the Rivet bootstrap script.) To use the interface, you need to enable it using the ANALYSIS option and to configure it it using the RIVET settings group as follows: ANALYSIS: Rivet RIVET: --analyses: - D0_2008_S7662670 - CDF_2007_S7057202 - D0_2004_S5992206 - CDF_2008_S7828950  The analyses list specifies which Rivet analyses to run and the histogram output file can be changed with the normal ANALYSIS_OUTPUT switch. Further Rivet options (especially for Rivet v3) can be passed through the interface. The following ones are currently implemented: ANALYSIS: Rivet RIVET: --analyses: - MC_ZINC --ignore-beams: 1 --skip-weights: 0 --match_weights: ".*MUR.*" --unmatch-weights: "NTrials" --nominal-weight: "Weight" --weight-cap: 100.0 --nlo-smearing: 0.1  You can also use rivet-mkhtml (distributed with Rivet) to create plot webpages from Rivet’s output files: $ source /path/to/rivetenv.sh   # see below
$rivet-mkhtml -o output/ file1.yoda [file2.yoda, ...]$ firefox output/index.html &


If your Rivet installation is not in a standard location, the bootstrap script should have created a rivetenv.sh which you have to source before running the rivet-mkhtml script.

### 6.3. HZTool analyses¶

Sherpa is equipped with an interface to the analysis tool HZTool. To enable it, HZTool and CERNLIB have to be installed and your Sherpa compilation has to be configured with the following options:

$./configure --enable-hztool=/path/to/hztool --enable-cernlib=/path/to/cernlib --enable-hepevtsize=4000  Note that an example CERNLIB installation bootstrap script is provided in AddOns/HZTool/start_cern_64bit. Note that this script is only provided for convenience, we will not provide support if it is not working as expected. To use the interface, enable it using the ANALYSIS and configure it using the HZTool settings group: ANALYSIS: HZTool HZTOOL: HISTO_NAME: output.hbook HZ_ENABLE: - hz00145 - hz01073 - hz02079 - hz03160  The HZ_ENABLE list specifies which HZTool analyses to run. The histogram output directory can be changed using the ANALYSIS_OUTPUT switch, while HZTOOL:HISTO_NAME specifies the hbook output file. ### 6.4. MCFM interface¶ Sherpa is equipped with an interface to the NLO library of MCFM for decdicated processes. To enable it, MCFM has to be installed and compiled into a single library, libMCFM.a. To this end, an installation script is provided in AddOns/MCFM/install_mcfm.sh. Please note, due to some process specific changes that are made by the installation script to the MCFM code, only few selected processes of MCFM-6.3 are available through the interface. Finally, your Sherpa compilation has to be configured with the following options: $ ./configure --enable-mcfm=/path/to/mcfm


To use the interface, specify

Loop_Generator: MCFM


in the process section of the run card and add it to the list of generators in ME_GENERATORS. Of course, MCFM’s process.DAT file has to be copied to the current run directory.

### 6.5. Debugging a crashing/stalled event¶

#### 6.5.1. Crashing events¶

If an event crashes, Sherpa tries to obtain all the information needed to reproduce that event and writes it out into a directory named

Status__<date>_<time>


If you are a Sherpa user and want to report this crash to the Sherpa team, please attach a tarball of this directory to your email. This allows us to reproduce your crashed event and debug it.

To debug it yourself, you can follow these steps (Only do this if you are a Sherpa developer, or want to debug a problem in an addon library created by yourself):

• Copy the random seed out of the status directory into your run path:

$cp Status__<date>_<time>/random.dat ./  • Run your normal Sherpa commandline with an additional parameter: $ Sherpa [...] 'STATUS_PATH: ./'


Sherpa will then read in your random seed from “./random.dat” and generate events from it.

• Ideally, the first event will lead to the crash you saw earlier, and you can now turn on debugging output to find out more about the details of that event and test code changes to fix it:

$Sherpa [...] --output 15 'STATUS_PATH: ./'  #### 6.5.2. Stalled events¶ If event generation seems to stall, you first have to find out the number of the current event. For that you would terminate the stalled Sherpa process (using Ctrl-c) and check in its final output for the number of generated events. Now you can request Sherpa to write out the random seed for the event before the stalled one: $ Sherpa [...] --events <#events - 1> 'SAVE_STATUS: Status/'


(Replace <#events - 1> using the number you figured out earlier.)

The created status directory can either be sent to the Sherpa developers, or be used in the same steps as above to reproduce that event and debug it.

### 6.6. Versioned installation¶

If you want to install different Sherpa versions into the same prefix (e.g. /usr/local), you have to enable versioning of the installed directories by using the configure option --enable-versioning. Optionally you can even pass an argument to this parameter of what you want the version tag to look like.

### 6.7. NLO calculations¶

#### 6.7.1. Choosing DIPOLES ALPHA¶

A variation of the parameter DIPOLES:ALPHA (see Dipole subtraction) changes the contribution from the real (subtracted) piece (RS) and the integrated subtraction terms (I), keeping their sum constant. Varying this parameter provides a nice check of the consistency of the subtraction procedure and it allows to optimize the integration performance of the real correction. This piece has the most complicated momentum phase space and is often the most time consuming part of the NLO calculation. The optimal choice depends on the specific setup and can be determined best by trial.

Hints to find a good value:

• The smaller DIPOLES:ALPHA is the less dipole term have to be calculated, thus the less time the evaluation/phase space point takes.

• Too small choices lead to large cancelations between the RS and the I parts and thus to large statisical errors.

• For very simple processes (with only a total of two partons in the iniatial and the final state of the born process) the best choice is typically DIPOLES: {ALPHA: 1}. The more complicated a process is the smaller DIPOLES:ALPHA should be (e.g. with 5 partons the best choice is typically around 0.01).

• A good choice is typically such that the cross section from the RS piece is significantly positive but not much larger than the born cross section.

#### 6.7.2. Integrating complicated Loop-ME¶

For complicated processes the evaluation of one-loop matrix elements can be very time consuming. The generation time of a fully optimized integration grid can become prohibitively long. Rather than using a poorly optimized grid in this case it is more advisable to use a grid optimized with either the born matrix elements or the born matrix elements and the finite part of the integrated subtraction terms only, working under the assumption that the distibutions in phase space are rather similar.

This can be done by one of the following methods:

1. Employ a dummy virtual (requires no computing time, returns a finite value as its result) to optimise the grid. This only works if V is not the only NLO_Part specified.

1. During integration set the Loop_Generator to Dummy. The grid will then be optimised to the phase space distribution of the sum of the Born matrix element and the finite part of the integrated subtraction term, plus a finite value from Dummy.

Note

The cross section displayed during integration will also correspond to these contributions.

2. During event generation reset Loop_Generator to your generator supplying the virtual correction. The events generated then carry the correct event weight.

2. Suppress the evaluation of the virtual and/or the integrated subtraction terms. This only works if Amegic is used as the matrix element generator for the BVI pieces and V is not the only NLO_Part specified.

1. During integration add AMEGIC: { NLO_BVI_MODE: <num> } to your configuration. <num> takes the following values: 1-B, 2-I, and 4-V. The values are additive, i.e. 3-BI.

Note

The cross section displayed during integration will match the parts selected by NLO_BVI_MODE.

2. During event generation remove the switch again and the events will carry the correct weight.

Note

this will not work for the RS piece!

#### 6.7.3. Avoiding misbinning effects¶

Close to the infrared limit, the real emission matrix element and corresponding subtraction events exhibit large cancellations. If the (minor) kinematics difference of the events happens to cross a parton-level cut or analysis histogram bin boundary, then large spurious spikes can appear.

These can be smoothed to some extend by shifting the weight from the subtraction kinematic to the real-emission kinematic if the dipole measure alpha is below a given threshold. The fraction of the shifted weight is inversely proportional to the dipole measure, such that the final real-emission and subtraction weights are calculated as:

w_r -> w_r + sum_i [1-x(alpha_i)] w_{s,i}
foreach i: w_{s,i} -> x(alpha_i) w_{s,i}


with the function $$x(\alpha)=(\frac{\alpha}{|\alpha_0|})^n$$ for $$\alpha<\alpha_0$$ and $$1$$ otherwise.

The threshold can be set by the parameter NLO_SMEAR_THRESHOLD: <alpha_0> and the functional form of alpha and thus interpretation of the threshold can be chosen by its sign (positive: relative dipole kT in GeV, negative: dipole alpha). In addition, the exponent n can be set by NLO_SMEAR_POWER: <n>.

#### 6.7.4. Enforcing the renormalization scheme¶

Sherpa takes information about the renormalization scheme from the loop ME generator. The default scheme is MSbar, and this is assumed if no loop ME is provided, for example when integrated subtraction terms are computed by themselves. This can lead to inconsistencies when combining event samples, which may be avoided by setting AMEGIC: { LOOP_ME_INIT: 1 }.

#### 6.7.5. Checking the pole cancellation¶

The following options are all sub-settings for AMEGIC and can be specified as follows:

AMEGIC:
<option>: <value>
...


To check whether the poles of the dipole subtraction and the interfaced one-loop matrix element cancel phase space point by phase space point CHECK_POLES: 1 can be specified. In the same way, the finite contributions of the infrared subtraction and the one-loop matrix element can be checked by setting CHECK_FINITE: 1, and the Born matrix element via CHECK_BORN: 1. The accuracy to which the poles, finite parts and Born matrix elements are checked is set via CHECK_THRESHOLD: <accu>.

## 7. A posteriori scale variations¶

There are several ways to compute the effects of changing the scales and PDFs of any event produced by Sherpa. They can computed explicitly, cf. Explicit scale variations, on-the-fly, cf. On-the-fly event weight variations (restricted to multiplicative factors), or reconstructed a posteriori. The latter method needs plenty of additional information in the event record and is (depending on the actual calculation) available in two formats:

### 7.1. A posteriori scale and PDF variations using the HepMC GenEvent Output¶

Events generated in a LO, LOPS, NLO, NLOPS, MEPS@LO, MEPS@NLO or MENLOPS calculation can be written out in the HepMC format including all infomation to carry out arbitrary scale variations a posteriori. For this feature HepMC of at least version 2.06 is necessary and both HEPMC_USE_NAMED_WEIGHTS: true and HEPMC_EXTENDED_WEIGHTS: true have to enabled. Detailed instructions on how to use this information to construct the new event weight can be found here https://sherpa.hepforge.org/doc/ScaleVariations-Sherpa-2.2.0.pdf.

### 7.2. A posteriori scale and PDF variations using the ROOT NTuple Output¶

Events generated at fixed-order LO and NLO can be stored in ROOT NTuples that allow arbitrary a posteriori scale and PDF variations, see Event output formats. An example for writing and reading in such ROOT NTuples can be found here: Production of NTuples. The internal ROOT Tree has the following Branches:

id

Event ID to identify correlated real sub-events.

nparticle

Number of outgoing partons.

E/px/py/pz

Momentum components of the partons.

kf

Parton PDG code.

weight

Event weight, if sub-event is treated independently.

weight2

Event weight, if correlated sub-events are treated as single event.

me_wgt

ME weight (w/o PDF), corresponds to ‘weight’.

me_wgt2

ME weight (w/o PDF), corresponds to ‘weight2’.

id1

PDG code of incoming parton 1.

id2

PDG code of incoming parton 2.

fac_scale

Factorisation scale.

ren_scale

Renormalisation scale.

x1

Bjorken-x of incoming parton 1.

x2

Bjorken-x of incoming parton 2.

x1p

x’ for I-piece of incoming parton 1.

x2p

x’ for I-piece of incoming parton 2.

nuwgt

Number of additional ME weights for loops and integrated subtraction terms.

usr_wgt[nuwgt]

Additional ME weights for loops and integrated subtraction terms.

#### 7.2.1. Computing (differential) cross sections of real correction events with statistical errors¶

Real correction events and their counter-events from subtraction terms are highly correlated and exhibit large cancellations. Although a treatment of sub-events as independent events leads to the correct cross section the statistical error would be greatly overestimated. In order to get a realistic statistical error sub-events belonging to the same event must be combined before added to the total cross section or a histogram bin of a differential cross section. Since in general each sub-event comes with it’s own set of four momenta the following treatment becomes necessary:

1. An event here refers to a full real correction event that may contain several sub-events. All entries with the same id belong to the same event. Step 2 has to be repeated for each event.

2. Each sub-event must be checked separately whether it passes possible phase space cuts. Then for each observable add up weight2 of all sub-events that go into the same histogram bin. These sums $$x_{id}$$ are the quantities to enter the actual histogram.

3. To compute statistical errors each bin must store the sum over all $$x_{id}$$ and the sum over all $$x_{id}^2$$. The cross section in the bin is given by $$\langle x\rangle = \frac{1}{N} \cdot \sum x_{id}$$, where $$N$$ is the number of events (not sub-events). The $$1-\sigma$$ statistical error for the bin is $$\sqrt{ (\langle x^2\rangle-\langle x\rangle^2)/(N-1) }$$

Note: The main difference between weight and weight2 is that they refer to a different counting of events. While weight corresponds to each event entry (sub-event) counted separately, weight2 counts events as defined in step 1 of the above procedure. For NLO pieces other than the real correction weight and weight2 are identical.

#### 7.2.2. Computation of cross sections with new PDF’s¶

##### 7.2.2.1. Born and real pieces¶

Notation:

f_a(x_a) = PDF 1 applied on parton a, F_b(x_b) = PDF 2 applied on
parton b.


The total cross section weight is given by:

weight = me_wgt f_a(x_a)F_b(x_b)

##### 7.2.2.2. Loop piece and integrated subtraction terms¶

The weights here have an explicit dependence on the renormalization and factorization scales.

To take care of the renormalization scale dependence (other than via alpha_S) the weight w_0 is defined as

w_0 = me_wgt + usr_wgts[0] log((\mu_R^new)^2/(\mu_R^old)^2) +
usr_wgts[1] 1/2 [log((\mu_R^new)^2/(\mu_R^old)^2)]^2


To address the factorization scale dependence the weights w_1,...,w_8 are given by

w_i = usr_wgts[i+1] + usr_wgts[i+9] log((\mu_F^new)^2/(\mu_F^old)^2)


The full cross section weight can be calculated as

weight = w_0 f_a(x_a)F_b(x_b)
+ (f_a^1 w_1 + f_a^2 w_2 + f_a^3 w_3 + f_a^4 w_4) F_b(x_b)
+ (F_b^1 w_5 + F_b^2 w_6 + F_b^3 w_7 + F_b^4 w_8) f_a(x_a)


where

f_a^1 = f_a(x_a) (a=quark), \sum_q f_q(x_a) (a=gluon),
f_a^2 = f_a(x_a/x'_a)/x'_a (a=quark), \sum_q f_q(x_a/x'_a)x'_a (a=gluon),
f_a^3 = f_g(x_a),
f_a^4 = f_g(x_a/x'_a)/x'_a


The scale dependence coefficients usr_wgts[0] and usr_wgts[1] are normally obtained from the finite part of the virtual correction by removing renormalization terms and universal terms from dipole subtraction. This may be undesirable, especially when the loop provider splits up the calculation of the virtual correction into several pieces, like leading and sub-leading color. In this case the loop provider should control the scale dependence coefficients, which can be enforced with option USR_WGT_MODE: false.

Warning

The loop provider must support this option or the scale dependence coefficients will be invalid!

## 8. Customization¶

Customizing Sherpa according to your needs.

Sherpa can be easily extended with certain user defined tools. To this extent, a corresponding C++ class must be written, and compiled into an external library:

$g++ -shared \ -I$SHERPA_PREFIX/bin/Sherpa-config --incdir \
$SHERPA_PREFIX/bin/Sherpa-config --ldflags \ -o libMyCustomClass.so My_Custom_Class.C  This library can then be loaded in Sherpa at runtime with the option SHERPA_LDADD, e.g.: SHERPA_LDADD: - MyCustomClass  Several specific examples of features which can be extended in this way are listed in the following sections. ### 8.1. Exotic physics¶ It is possible to add your own models to Sherpa in a straightforward way. To illustrate, a simple example has been included in the directory Examples/Models/SM_ZPrime, showing how to add a Z-prime boson to the Standard Model. The important features of this example include: • The SM_Zprime.C file. This file contains the initialisation of the Z-prime boson. The properties of the Z-prime are set here, such as mass, width, electromagnetic charge, spin etc. • The Interaction_Model_SM_Zprime.C file. This file contains the definition of the Z-prime boson’s interactions. The right- and left-handed couplings to each of the fermions are set here. • An example Makefile. This shows how to compile the sources above into a shared library. • The line SHERPA_LDADD: SMZprime in the config file. This line tells Sherpa to load the extra libraries created from the *.C files above. • The line MODEL: SMZprime in the config file. This line tells Sherpa which model to use for the run. • The following lines in the config file: PARTICLE_DATA: 32: Mass: 1000 Width: 50  These lines show how you can overrule the choices you made for the properties of the new particle in the SM_Zprime.C file. For more information on changing parameters in Sherpa, see Input structure and Parameters. • The lines Zp_cpl_L: 0.3 and Zp_cpl_R: 0.6 set the couplings to left and right handed fermions in the config file. To use this model, create the libraries for Sherpa to use by running $ make


in this directory. Then run Sherpa as normal:

$../../../bin/Sherpa  To implement your own model, copy these example files anywhere and modify them according to your needs. Note: You don’t have to modify or recompile any part of Sherpa to use your model. As long as the SHERPA_LDADD parameter is specified as above, Sherpa will pick up your model automatically. Furthermore note: New physics models with an existing implementation in FeynRules, cf. [CD09] and [CdAD+11], can directly be invoked using Sherpa’s support for the UFO model format, see UFO Model Interface. ### 8.2. Custom scale setter¶ You can write a custom calculator to set the factorisation, renormalisation and resummation scales. It has to be implemented as a C++ class which derives from the Scale_Setter_Base base class and implements only the constructor and the Calculate method. Here is a snippet for a very simple one, which sets all three scales to the invariant mass of the two incoming partons. #include "PHASIC++/Scales/Scale_Setter_Base.H" #include "ATOOLS/Org/Message.H" using namespace PHASIC; using namespace ATOOLS; namespace PHASIC { class Custom_Scale_Setter: public Scale_Setter_Base { protected: public: Custom_Scale_Setter(const Scale_Setter_Arguments &args) : Scale_Setter_Base(args) { m_scale.resize(3); // by default three scales: fac, ren, res // but you can add more if you need for COUPLINGS SetCouplings(); // the default value of COUPLINGS is "Alpha_QCD 1", i.e. // m_scale[1] is used for running alpha_s // (counting starts at zero!) } double Calculate(const std::vector<ATOOLS::Vec4D> &p, const size_t &mode) { double muF=(p[0]+p[1]).Abs2(); double muR=(p[0]+p[1]).Abs2(); double muQ=(p[0]+p[1]).Abs2(); m_scale[stp::fac] = muF; m_scale[stp::ren] = muR; m_scale[stp::res] = muQ; // Switch on debugging output for this class with: // Sherpa "OUTPUT=2[Custom_Scale_Setter|15]" DEBUG_FUNC("Calculated scales:"); DEBUG_VAR(m_scale[stp::fac]); DEBUG_VAR(m_scale[stp::ren]); DEBUG_VAR(m_scale[stp::res]); return m_scale[stp::fac]; } }; } // Some plugin magic to make it available for SCALES=CUSTOM DECLARE_GETTER(Custom_Scale_Setter,"CUSTOM", Scale_Setter_Base,Scale_Setter_Arguments); Scale_Setter_Base *ATOOLS::Getter <Scale_Setter_Base,Scale_Setter_Arguments,Custom_Scale_Setter>:: operator()(const Scale_Setter_Arguments &args) const { return new Custom_Scale_Setter(args); } void ATOOLS::Getter<Scale_Setter_Base,Scale_Setter_Arguments, Custom_Scale_Setter>:: PrintInfo(std::ostream &str,const size_t width) const { str<<"Custom scale scheme"; }  If the code is compiled into a library called libCustomScale.so, then this library is loaded dynamically at runtime with the switch SHERPA_LDADD: CustomScale either on the command line or in the run section, cf. Customization. This then allows to use the custom scale like a built-in scale setter by specifying SCALES: CUSTOM (cf. SCALES). ### 8.3. External one-loop ME¶ Sherpa includes only a very limited selection of one-loop matrix elements. To make full use of the implemented automated dipole subtraction it is possible to link external one-loop codes to Sherpa in order to perform full calculations at QCD next-to-leading order. In general Sherpa can take care of any piece of the calculation except one-loop matrix elements, i.e. the born ME, the real correction, the real and integrated subtraction terms as well as the phase space integration and PDF weights for hadron collisions. Sherpa will provide sets of four-momenta and request for a specific parton level process the helicity and colour summed one-loop matrix element (more specific: the coefficients of the Laurent series in the dimensional regularization parameter epsilon up to the order epsilon^0). An example setup for interfacing such an external one-loop code, following the Binoth Les Houches interface proposal [B+10] of the 2009 Les Houches workshop, is provided in Zbb production. To use the LH-OLE interface, Sherpa has to be configured with --enable-lhole. The interface: • During an initialization run Sherpa stores setup information (schemes, model information etc.) and requests a list of parton-level one-loop processes that are needed for the NLO calculation. This information is stored in a file, by default called OLE_order.lh. The external one-loop code (OLE) should confirm these settings/requests and write out a file OLE_contract.lh. Both filenames can be customised using LHOLE_ORDERFILE: <order-file> and <LHOLE_CONTRACTFILE: <contract-file>. For the syntax of these files and more details see [B+10]. For Sherpa the output/input of the order/contract file is handled in LH_OLE_Communicator.[CH]. The actual interface is contained in LH_OLE_Interface.C. The parameters to be exchanged with the OLE are defined in the latter file via lhfile.AddParameter(...);  and might require an update for specific OLE or processes. Per default, in addition to the standard options MatrixElementSquareType, CorrectionType, IRregularisation, AlphasPower, AlphaPower and OperationMode the masses and width of the W, Z and Higgs bosons and the top and bottom quarks are written out in free format, such that the respective OLE parameters can be easily synchronised. • At runtime the communication is performed via function calls. To allow Sherpa to call the external code the functions void OLP_Start(const char * filename); void OLP_EvalSubProcess(int,double*,double,double,double*);  which are defined and called in LH_OLE_Interface.C must be specified. For keywords and possible data fields passed with this functions see [B+10]. The function OLP_Start(...) is called once when Sherpa is starting. The function OLP_EvalSubProcess(...) will be called many times for different subprocesses and momentum configurations. The setup (cf. example Zbb production): • The line Loop_Generator: LHOLE tells the code to use the interface for computing one-loop matrix elements. • The switch SHERPA_LDADD has to be set to the appropriate library name (and path) of the one-loop generator. • The IR regularisation scheme can be set via LHOLE_IR_REGULARISATION. Possible values are DRED (default) and CDR. • Per default, Sherpa generates phase space points in the lab frame. If LHOLE_BOOST_TO_CMS: true is set, these phase space points are boosted to the centre of mass system before they are passed to the OLE. • The original BLHA interface does not allow for run-time parameter passing. While this is discussed for an updated of the accord a workable solution is implemented for the use of GoSam and enabled through LHOLE_OLP: GoSam. The LHOLE_BOOST_TO_CMS is also automatically active with this setup. This, of course, can be adapted for other one-loop programs if need be. • Sherpa’s internal analysis package can be used to generate a few histograms. Thus, then when installing Sherpa the option --enable-analysis must be include on the command line when Sherpa is configured, see ANALYSIS. ### 8.4. External RNG¶ To use an external Random Number Generator (RNG) in Sherpa, you need to provide an interface to your RNG in an external dynamic library. This library is then loaded at runtime and Sherpa replaces the internal RNG with the one provided. In this case Sherpa will not attempt to set, save, read or restore the RNG The corresponding code for the RNG interface is #include "ATOOLS/Math/Random.H" using namespace ATOOLS; class Example_RNG: public External_RNG { public: double Get() { // your code goes here ... } };// end of class Example_RNG // this makes Example_RNG loadable in Sherpa DECLARE_GETTER(Example_RNG,"Example_RNG",External_RNG,RNG_Key); External_RNG *ATOOLS::Getter<External_RNG,RNG_Key,Example_RNG>::operator()(const RNG_Key &) const { return new Example_RNG(); } // this eventually prints a help message void ATOOLS::Getter<External_RNG,RNG_Key,Example_RNG>::PrintInfo(std::ostream &str,const size_t) const { str<<"example RNG interface"; }  If the code is compiled into a library called libExampleRNG.so, then this library is loaded dynamically in Sherpa using the command SHERPA_LDADD: ExampleRNG either on the command line or in Sherpa.yaml. If the library is bound at compile time, like e.g. in cmt, you may skip this step. Finally Sherpa is instructed to retrieve the external RNG by specifying EXTERNAL_RNG: Example_RNG on the command line or in Sherpa.yaml. ### 8.5. External PDF¶ To use an external PDF (not included in LHAPDF) in Sherpa, you need to provide an interface to your PDF in an external dynamic library. This library is then loaded at runtime and it is possible within Sherpa to access all PDFs included. The simplest C++ code to implement your interface looks as follows #include "PDF/Main/PDF_Base.H" using namespace PDF; class Example_PDF: public PDF_Base { public: void Calculate(double x,double Q2) { // calculate values x f_a(x,Q2) for all a } double GetXPDF(const ATOOLS::Flavour a) { // return x f_a(x,Q2) } virtual PDF_Base *GetCopy() { return new Example_PDF(); } };// end of class Example_PDF // this makes Example_PDF loadable in Sherpa DECLARE_PDF_GETTER(Example_PDF_Getter); PDF_Base *Example_PDF_Getter::operator()(const Parameter_Type &args) const { return new Example_PDF(); } // this eventually prints a help message void Example_PDF_Getter::PrintInfo (std::ostream &str,const size_t width) const { str<<"example PDF"; } // this lets Sherpa initialize and unload the library Example_PDF_Getter *p_get=NULL; extern "C" void InitPDFLib() { p_get = new Example_PDF_Getter("ExamplePDF"); } extern "C" void ExitPDFLib() { delete p_get; }  If the code is compiled into a library called libExamplePDFSherpa.so, then this library is loaded dynamically in Sherpa using PDF_LIBRARY: ExamplePDFSherpa either on the command line, or in the Sherpa.yaml. If the library is bound at compile time, like e.g. in cmt, you may skip this step. It is now possible to list all accessible PDF sets by specifying SHOW_PDF_SETS: 1 on the command line. Finally Sherpa is instructed to retrieve the external PDF by specifying PDF_SET: ExamplePDF on the command line or in the Sherpa.yaml. ### 8.6. Python Interface¶ Certain Sherpa classes and methods can be made available to the Python interpreter in the form of an extension module. This module can be loaded in Python and provides access to certain functionalities of the Sherpa event generator in Python. In order to build the module, Sherpa must be configured with the option --enable-pyext. Running make then invokes the automated interface generator SWIG [Bea03] to create the Sherpa module using the Python C/C++ API. SWIG version 1.3.x or later is required for a successful build. Problems might occur if more than one version of Python is present on the system since automake currently doesn’t always handle multiple Python installations properly. If you have multiple Python versions installed on your system, please set the PYTHON environment variable to the Python 2 executable via $ export PYTHON=<path-to-python2>


before executing the configure script (see. Certain Sherpa classes and methods can be made available to the Python interpreter in the form of an extension module. This module can be loaded in Python and provides access to certain functionalities of the Sherpa event generator in Python. It was designed specifically for the computation of matrix elements in python (Using the Python interface) and its features are currently limited to this purpose. In order to build the module, Sherpa must be configured with the option --enable-pyext. Running make then invokes the automated interface generator SWIG [Bea03] to create the Sherpa module using the Python C/C++ API. SWIG version 1.3.x or later is required for a successful build. Problems might occur if more than one version of Python is present on the system since automake currently doesn’t always handle multiple Python installations properly. A possible workaround is to temporarily uninstall one version of python, configure and build Sherpa, and then reinstall the temporarily uninstalled version of Python.

The following script is a minimal example that shows how to use the Sherpa module in Python. In order to load the Sherpa module, the location where it is installed must be added to the PYTHONPATH. There are several ways to do this, in this example the sys module is used. The sys module also allows it to directly pass the command line arguments used to run the script to the initialization routine of Sherpa. The script can thus be executed using the normal command line options of Sherpa (see Command Line Options). Furthermore it illustrates how exceptions that Sherpa might throw can be taken care of. If a run card is present in the directory where the script is executed, the initialization of the generator causes Sherpa to compute the cross sections for the processes specified in the run card. See Computing matrix elements for individual phase space points using the Python Interface for an example that shows how to use the Python interface to compute matrix elements or Generate events using scripts to see how the interface can be used to generate events in Python.

Note that if you have compiled Sherpa with MPI support, you need to source the mpi4py module using from mpi4py import MPI.

#!/usr/bin/python
import sys
sys.path.append('<sherpa-prefix>/lib/<your-python-version>/site-packages/>')
import Sherpa

# set up the generator
Generator=Sherpa.Sherpa(len(sys.argv),sys.argv)

# initialize the generator, pass command line arguments to initialization routine
try:
Generator.InitializeTheRun()

# catch exceptions
except Sherpa.Exception as exc:
print exc


## 9. Examples¶

Some example set-ups are included in Sherpa, in the <prefix>/share/SHERPA-MC/Examples/ directory. These may be useful to new users to practice with, or as templates for creating your own Sherpa run-cards. In this section, we will look at some of the main features of these examples.

### 9.1. Vector boson + jets production¶

To change any of the following LHC examples to production at different collider energies or beam types, e.g. proton anti-proton at the Tevatron, simply change the beam settings accordingly:

BEAMS: [2212, -2212]
BEAM_ENERGIES: 980


#### 9.1.1. W+jets production¶

This is an example setup for inclusive W production at hadron colliders. The inclusive process is calculated at next-to-leading order accuracy matched to the parton shower using the MC@NLO prescription detailed in [HKSS12]. The next few higher jet multiplicities, calculated at next-to-leading order as well, are merged into the inclusive sample using the MEPS@NLO method – an extension of the CKKW method to NLO – as described in [HKSS13] and [GHK+13]. Finally, even higher multiplicities, calculated at leading order, are merged on top of that. A few more things to note are detailed below the example.

# Sherpa configuration for W[lv]+Jets production

# set up beams for LHC run 2
BEAMS: 2212
BEAM_ENERGIES: 6500

# matrix-element calculation
ME_GENERATORS:
- Comix
- Amegic
- OpenLoops

# optional: use a custom jet criterion
#JET_CRITERION: FASTJET[A:antikt,R:0.4,y:5]

# exclude tau (15) from (massless) lepton container (90)
PARTICLE_DATA:
15:
Massive: 1

# pp -> W[lv]+jets
PROCESSES:
- 93 93 -> 90 91 93{4}:
Order: {QCD: 0, EW: 2}
CKKW: 20
# set up NLO+PS final-state multiplicities
2->2-4:
NLO_Mode: MC@NLO
NLO_Order: {QCD: 1, EW: 0}
ME_Generator: Amegic
RS_ME_Generator: Comix
Loop_Generator: OpenLoops
# make integration of higher final-state multiplicities faster
2->4-6:
Integration_Error: 0.05

SELECTORS:
# Safety cuts to avoid PDF calls with muF < 1 GeV
- [Mass, 11, -12, 1.0, E_CMS]
- [Mass, 13, -14, 1.0, E_CMS]
- [Mass, -11, 12, 1.0, E_CMS]
- [Mass, -13, 14, 1.0, E_CMS]


Things to notice:

• The Order in the process definition in a multi-jet merged setup defines the order of the core process (here 93 93 -> 90 91 with two electroweak couplings). The additional strong couplings for multi-jet production are implicitly understood.

• The settings necessary for NLO accuracy are restricted to the 2->2,3,4 processes using the 2->2-4 key below the # set up NLO+PS ... comment. The example can be converted into a simple MENLOPS setup by using 2->2 instead, or into an MEPS setup by removing these lines altogether. Thus one can study the effect of incorporating higher-order matrix elements.

• The number of additional LO jets can be varied through changing the integer within the curly braces in the Process definition, which gives the maximum number of additional partons in the matrix elements.

• OpenLoops is used here as the provider of the one-loop matrix elements for the respective multiplicities.

• Tau leptons are set massive in order to exclude them from the massless lepton container (90).

• As both Comix and Amegic are specified as matrix element generators to be used, Amegic has to be specified to be used for all MC@NLO multiplicities using ME_Generator: Amegic. Additionally, we specify RS_ME_Generator: Comix such that the subtracted real-emission bit of the NLO matrix elements is calculated more efficiently with Comix instead of Amegic. This combination is currently the only one supported for NLO-matched/merged setups.

The jet criterion used to define the matrix element multiplicity in the context of multijet merging can be supplied by the user. As an example the source code file ./Examples/V_plus_Jets/LHC_WJets/My_JetCriterion.C provides such an alternative jet criterion. It can be compiled using SCons via executing scons in that directory (edit the SConstruct file accordingly). The newly created library is linked at run time using the SHERPA_LDADD flag. The new jet criterion is then evoked by JET_CRITERION.

#### 9.1.2. Z+jets production¶

This is an example setup for inclusive Z production at hadron colliders. The inclusive process is calculated at next-to-leading order accuracy matched to the parton shower using the MC@NLO prescription detailed in [HKSS12]. The next few higher jet multiplicities, calculated at next-to-leading order as well, are merged into the inclusive sample using the MEPS@NLO method – an extension of the CKKW method to NLO – as described in [HKSS13] and [GHK+13]. Finally, even higher multiplicities, calculated at leading order, are merged on top of that. A few things to note are detailed below the previous W+jets production example and apply also to this example.

# Sherpa configuration for Z[ee]+Jets production

# set up beams for LHC run 2
BEAMS: 2212
BEAM_ENERGIES: 6500

# matrix-element calculation
ME_GENERATORS:
- Comix
- Amegic
- OpenLoops

## OTF variations
SCALE_VARIATIONS:
- [0.25, 0.25]
- [1.0,  0.25]
- [0.25, 1.0]
- [1.0,  1.0]
- [4.0,  1.0]
- [1.0,  4.0]
- [4.0,  4.0]

PDF_VARIATIONS:
- PDF4LHC21_40_pdfas*
- NNPDF40_nnlo_as_01180
- MSHT20nnlo_as118
- CT18NNLO_as_0118

# EW setup and corrections
EW_SCHEME: alphamZsW
SIN2THETAW: 0.23113
ASSOCIATED_CONTRIBUTIONS_VARIATIONS:
- [EW]
- [EW, LO1]
- [EW, LO1, LO2]
- [EW, LO1, LO2, LO3]

# speed and neg weight fraction improvements
NLO_CSS_PSMODE: 2
MC@NLO:
RS_SCALE: METS{H_Tp2/4}

# pp -> Z[ee]+jets
PROCESSES:
- 93 93 -> 11 -11 93{5}:
Order: {QCD: 0, EW: 2}
CKKW: 20
# set up NLO+PS final-state multiplicities
2->2-4:
NLO_Mode: MC@NLO
NLO_Order: {QCD: 1, EW: 0}
ME_Generator: Amegic
RS_ME_Generator: Comix
Loop_Generator: OpenLoops
Associated_Contributions: [EW, LO1, LO2, LO3]
# make integration of higher final-state multiplicities faster
2->4-7:
Integration_Error: 0.05
Max_N_Quarks: 4
Max_Epsilon: 0.01

SELECTORS:
- [Mass, 11, -11, 66, E_CMS]


#### 9.1.4. Zbb production¶

BEAMS: 2212
BEAM_ENERGIES: 6500

# general settings
EVENTS: 1M

# me generator settings
ME_GENERATORS: [Comix, Amegic, LHOLE]

HARD_DECAYS:
Enabled: true
Mass_Smearing: 0
Channels:
23,11,-11: {Status: 2}
23,13,-13: {Status: 2}

PARTICLE_DATA:
5:
Massive: true
Mass: 4.75  # consistent with MSTW 2008 nf 4 set
23:
Width: 0
Stable: 0

MI_HANDLER: None
FRAGMENTATION: None
CORE_SCALE: VAR{H_T2+sqr(91.188)}
PDF_LIBRARY: MSTW08Sherpa
PDF_SET: mstw2008nlo_nf4

PROCESSES:
- 93 93 -> 23 5 -5:
NLO_Mode: MC@NLO
NLO_Order: {QCD: 1, EW: 0}
ME_Generator: Amegic
RS_ME_Generator: Comix
Loop_Generator: LHOLE
Order: {QCD: 2, EW: 1}

SELECTORS:
- FastjetFinder:
Algorithm: antikt
N: 2
PTMin: 5.0
DR: 0.5
EtaMax: 5
Nb: 2


Things to notice:

• The matrix elements are interfaced via the Binoth Les Houches interface proposal [B+10], [A+b], External one-loop ME.

• The Z-boson is stable in the hard matrix elements. It is decayed using the internal decay module, indicated by the settings HARD_DECAYS:Enabled: true and PARTICLE_DATA:23:Stable: 0.

• fjcore from FastJet is used to regularize the hard cross section. We require two b-jets, indicated by Nb: 2 at the end of the FastjetFinder options.

• Four-flavour PDF are used to comply with the calculational setup.

### 9.2. Jet production¶

#### 9.2.1. Jet production¶

To change any of the following LHC examples to production at the Tevatron simply change the beam settings to

BEAMS: [2212, -2212]
BEAM_ENERGIES: 980

##### 9.2.1.1. MC@NLO setup for dijet and inclusive jet production¶

This is an example setup for dijet and inclusive jet production at hadron colliders at next-to-leading order precision matched to the parton shower using the MC@NLO prescription detailed in [HKSS12] and [HS12]. A few things to note are detailed below the example.

# collider setup
BEAMS: 2212
BEAM_ENERGIES: 6500.0

SCALES: FASTJET[A:antikt,PT:20.0,ET:0,R:0.4,M:0]{0.0625*H_T2}{0.0625*H_T2}{0.25*PPerp2(p[3])}
ME_GENERATORS: [Amegic, OpenLoops]

PROCESSES:
- 93 93 -> 93 93:
NLO_Mode: MC@NLO
NLO_Order: {QCD: 1, EW: 0}
Loop_Generator: OpenLoops
Order: {QCD: 2, EW: 0}

SELECTORS:
- FastjetFinder:
Algorithm: antikt
N: 2
PTMin: 10.0
ETMin: 0.0
DR: 0.4
- FastjetFinder:
Algorithm: antikt
N: 1
PTMin: 20.0
ETMin: 0.0
DR: 0.4


Things to notice:

• Asymmetric cuts are implemented (relevant to the RS-piece of an MC@NLO calculation) by requiring at least two jets with pT > 10 GeV, one of which has to have pT > 20 GeV.

• Both the factorisation and renormalisation scales are set to the above defined scale factors times a quarter of the scalar sum of the transverse momenta of all anti-kt jets (R = 0.4, pT > 20 GeV) found on the ME-level before any parton shower emission. See SCALES for details on scale setters.

• The resummation scale, which sets the maximum scale of the additional emission to be resummed by the parton shower, is set to the above defined resummation scale factor times half of the transverse momentum of the softer of the two jets present at Born level.

• The external generator OpenLoops provides the one-loop matrix elements.

• The NLO_Mode is set to MC@NLO.

##### 9.2.1.2. MEPS setup for jet production¶
BEAMS: 2212
BEAM_ENERGIES: 6500

PROCESSES:
- 93 93 -> 93 93 93{0}:
Order: {QCD: 2, EW: 0}
CKKW: 20
Integration_Error: 0.02

SELECTORS:
- NJetFinder:
N: 2
PTMin: 20.0
ETMin: 0.0
R: 0.4
Exp: -1


Things to notice:

• Order is set to {QCD: 2, EW: 0}. This ensures that all final state jets are produced via the strong interaction.

• An NJetFinder selector is used to set a resolution criterion for the two jets of the core process. This is necessary because the “CKKW” tag does not apply any cuts to the core process, but only to the extra-jet matrix elements, see Multijet merged event generation with Sherpa.

#### 9.2.2. Jets at lepton colliders¶

This section contains two setups to describe jet production at LEP I, either through multijet merging at leading order accuracy or at next-to-leading order accuracy.

##### 9.2.2.1. MEPS setup for ee->jets¶

This example shows a LEP set-up, with electrons and positrons colliding at a centre of mass energy of 91.2 GeV.

BEAMS: [11, -11]
BEAM_ENERGIES: 45.6

ALPHAS(MZ): 0.1188
ORDER_ALPHAS: 1

PROCESSES:
- 11 -11 -> 93 93 93{3}:
CKKW: pow(10,-2.25/2.00)*E_CMS
Order: {QCD: Any, EW: 2}


Things to notice:

• The running of alpha_s is set to leading order and the value of alpha_s at the Z-mass is set.

• Note that initial-state radiation is enabled by default. See ISR parameters on how to disable it if you want to evaluate the (unphysical) case where the energy for the incoming leptons is fixed.

##### 9.2.2.2. MEPS@NLO setup for ee->jets¶

This example expands upon the above setup, elevating its description of hard jet production to next-to-leading order.

# collider setup
BEAMS: [11, -11]
BEAM_ENERGIES: 45.6

TAGS:
# tags for process setup
YCUT: 2.0
# tags for ME generators
LOOPGEN0: Internal
LOOPGEN1: <my-loop-gen-for-3j>
LOOPGEN2: <my-loop-gen-for-4j>
LOOPMGEN: <my=loop-gen-for-massive-2j>

# settings for ME generators
ME_GENERATORS:
- Comix
- Amegic
- $(LOOPGEN0) -$(LOOPGEN1)
- $(LOOPGEN2) -$(LOOPMGEN)
AMEGIC: {INTEGRATOR: 4}

# model parameters
MODEL: SM
ALPHAS(MZ): 0.118
PARTICLE_DATA: {5: {Massive: true}}

PROCESSES:
- 11 -11 -> 93 93 93{3}:
CKKW: pow(10,-$(YCUT)/2.00)*E_CMS Order: {QCD: 0, EW: 2} RS_Enhance_Factor: 10 2->2: { Loop_Generator:$(LOOPGEN0) }
2->3: { Loop_Generator: $(LOOPGEN1) } 2->4: { Loop_Generator:$(LOOPGEN2) }
2->2-4:
NLO_Mode: MC@NLO
NLO_Order: {QCD: 1, EW: 0}
ME_Generator: Amegic
RS_ME_Generator: Comix
- 11 -11 -> 5 -5 93{3}:
CKKW: pow(10,-$(YCUT)/2.00)*E_CMS Order: {QCD: 0, EW: 2} Loop_Generator:$(LOOPMGEN)
RS_Enhance_Factor: 10
2->2:
NLO_Mode: MC@NLO
NLO_Order: {QCD: 1, EW: 0}
ME_Generator: Amegic
RS_ME_Generator: Comix
- 11 -11 -> 5 5 -5 -5 93{1}:
CKKW: pow(10,-$(YCUT)/2.00)*E_CMS Order: {QCD: 2, EW: 2} Cut_Core: 1  Things to notice: • the b-quark mass has been enabled for the matrix element calculation (the default is massless) because it is not negligible for LEP energies • the b b-bar and b b b-bar b-bar processes are specified separately because the 93 particle container contains only partons set massless in the matrix element calculation, see Particle containers. • model parameters can be modified in the config file; in this example, the value of alpha_s at the Z mass is set. ### 9.3. Higgs boson + jets production¶ #### 9.3.1. H production in gluon fusion with interference effects¶ This is a setup for inclusive Higgs production through gluon fusion at hadron colliders. The inclusive process is calculated at next-to-leading order accuracy, including all interference effects between Higgs-boson production and the SM gg->yy background. The corresponding matrix elements are taken from [BDS02] and [DL]. # collider parameters BEAMS: 2212 BEAM_ENERGIES: 6500 # generator parameters EVENTS: 1M EVENT_GENERATION_MODE: Weighted AMEGIC: {ALLOW_MAPPING: 0} ME_GENERATORS: [Amegic, Higgs] SCALES: VAR{Abs2(p[2]+p[3])} # physics parameters PARTICLE_DATA: 4: {Yukawa: 1.42} 5: {Yukawa: 4.92} 15: {Yukawa: 1.777} EW_SCHEME: 3 RUN_MASS_BELOW_POLE: 1 PROCESSES: - 93 93 -> 22 22: NLO_Mode: Fixed_Order Order: {QCD: 2, EW: 2} NLO_Order: {QCD: 1, EW: 0} Enable_MHV: 12 Loop_Generator: Higgs Integrator: PS2 RS_Integrator: PS3 SELECTORS: - HiggsFinder: PT1: 40 PT2: 30 Eta: 2.5 MassRange: [100, 150] - [IsolationCut, 22, 0.4, 2, 0.025]  Things to notice: • This calculation is at fixed-order NLO. • All scales, i.e. the factorisation, renormalisation and resummation scales are set to the invariant mass of the di-photon pair. • Dedicated phase space generators are used by setting Integrator: PS2 and RS_Integrator: PS3, cf. Integrator. To compute the interference contribution only, as was done in [DL], one can set HIGGS_INTERFERENCE_ONLY: 1. By default, all partonic processes are included in this simulation, however, it is sensible to disable quark initial states at the leading order. This is achieved by setting HIGGS_INTERFERENCE_MODE: 3. One can also simulate the production of a spin-2 massive graviton in Sherpa using the same input card by setting HIGGS_INTERFERENCE_SPIN: 2. Only the massive graviton case is implemented, specifically the scenario where k_q=k_g. NLO corrections are approximated, as the gg->X->yy and qq->X->yy loop amplitudes have not been computed so far. #### 9.3.2. H+jets production in gluon fusion¶ This is an example setup for inclusive Higgs production through gluon fusion at hadron colliders used in [HKS]. The inclusive process is calculated at next-to-leading order accuracy matched to the parton shower using the MC@NLO prescription detailed in [HKSS12]. The next few higher jet multiplicities, calculated at next-to-leading order as well, are merged into the inclusive sample using the MEPS@NLO method – an extension of the CKKW method to NLO – as described in [HKSS13] and [GHK+13]. Finally, even higher multiplicities, calculated at leading order, are merged on top of that. A few things to note are detailed below the example. # collider parameters BEAMS: 2212 BEAM_ENERGIES: 6500 # settings for ME generators ME_GENERATORS: [Comix, Amegic, Internal, MCFM] # settings for hard decays HARD_DECAYS: Enabled: true Channels: 25,22,22: {Status: 2} Apply_Branching_Ratios: false # model parameters MODEL: HEFT PARTICLE_DATA: 25: {Mass: 125, Width: 0} PROCESSES: - 93 93 -> 25 93{2}: Order: {QCD: Any, EW: 0, HEFT: 1} CKKW: 30 2->1-2: { Loop_Generator: Internal } 2->3: { Loop_Generator: MCFM } 2->1-3: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} ME_Generator: Amegic RS_ME_Generator: Comix  Things to notice: • The example can be converted into a simple MENLOPS setup by replacing 2->1-3 with 2->1, or into an MEPS setup with 2->0, to study the effect of incorporating higher-order matrix elements. • Providers of the one-loop matrix elements for the respective multiplicities are set using Loop_Generator. For the two simplest cases Sherpa can provide it internally. Additionally, MCFM is interfaced for the H+2jet process, cf. MCFM interface. • To enable the Higgs to decay to a pair of photons, for example, the hard decays are invoked. For details on the hard decay handling and how to enable specific decay modes see Hard decays. #### 9.3.3. H+jets production in gluon fusion with finite top mass effects¶ This is example is similar to H+jets production in gluon fusion but with finite top quark mass taken into account as described in [B+15] for all merged jet multiplicities. Mass effects in the virtual corrections are treated in an approximate way. In case of the tree-level contributions, including real emission corrections, no approximations are made concerning the mass effects. # collider parameters BEAMS: 2212 BEAM_ENERGIES: 6500 # settings for ME generators ME_GENERATORS: [Amegic, Internal, OpenLoops] # settings for hard decays HARD_DECAYS: Enabled: true Channels: 25,22,22: {Status: 2} Apply_Branching_Ratios: false # model parameters MODEL: HEFT PARTICLE_DATA: 25: {Mass: 125, Width: 0} # finite top mass effects KFACTOR: GGH OL_IGNORE_MODEL: true OL_PARAMETERS: preset: 2 allowed_libs: pph2,pphj2,pphjj2 psp_tolerance: 1.0e-7 PROCESSES: - 93 93 -> 25 93{1}: Order: {QCD: 0, EW: 0, HEFT: 1} CKKW: 30 Loop_Generator: Internal 2->1-2: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0}  Things to notice: • One-loop matrix elements from OpenLoops [CMP12] are used in order to correct for top mass effects. Sherpa must therefore be compiled with OpenLoops support to run this example. Also, the OpenLoops process libraries listed in the run card must be installed. • The maximum jet multiplicities that can be merged in this setup are limited by the availability of loop matrix elements used to correct for finite top mass effects. • The comments in H+jets production in gluon fusion apply here as well. #### 9.3.4. H+jets production in associated production¶ This section collects example setups for Higgs boson production in association with vector bosons ##### 9.3.4.1. Higgs production in association with W bosons and jets¶ This is an example setup for Higgs boson production in association with a W boson and jets, as used in [HKP+]. It uses the MEPS@NLO method to merge pp->WH and pp->WHj at next-to-leading order accuracy and adds pp->WHjj at leading order. The Higgs boson is decayed to W-pairs and all W decay channels resulting in electrons or muons are accounted for, including those with intermediate taus. # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 ME_GENERATORS: [Comix, Amegic, OpenLoops] # define custom particle container for easy process declaration PARTICLE_CONTAINERS: 900: {Name: W, Flavours: [24, -24]} 901: {Name: lightflavs, Flavours: [1, -1, 2, -2, 3, -3, 4, -4, 21]} NLO_CSS_DISALLOW_FLAVOUR: 5 # particle properties (ME widths need to be zero if external) PARTICLE_DATA: 24: {Width: 0} 25: {Mass: 125.5, Width: 0} 15: {Stable: 0, Massive: true} # hard decays setup, specify allowed decay channels, ie.: # h->Wenu, h->Wmunu, h->Wtaunu, W->enu, W->munu, W->taunu, tau->enunu, tau->mununu + cc HARD_DECAYS: Enabled: true Channels: 25,24,-12,11: {Status: 2} 25,24,-14,13: {Status: 2} 25,24,-16,15: {Status: 2} 25,-24,12,-11: {Status: 2} 25,-24,14,-13: {Status: 2} 25,-24,16,-15: {Status: 2} 24,12,-11: {Status: 2} 24,14,-13: {Status: 2} 24,16,-15: {Status: 2} -24,-12,11: {Status: 2} -24,-14,13: {Status: 2} -24,-16,15: {Status: 2} 15,16,-12,11: {Status: 2} 15,16,-14,13: {Status: 2} -15,-16,12,-11: {Status: 2} -15,-16,14,-13: {Status: 2} Decay_Tau: 1 Apply_Branching_Ratios: 0 PROCESSES: - 901 901 -> 900 25 901{2}: Order: {QCD: 0, EW: 2} CKKW: 30 2->2-3: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops  Things to notice: • Two custom particle container, cf. Particle containers, have been declared, facilitating the process declaration. • As the bottom quark is treated as being massless by default, a five flavour calculation is performed. The particle container ensures that no external bottom quarks, however, are considered to resolve the overlap with single top and top pair processes. • OpenLoops [CMP12] is used as the provider of the one-loop matrix elements. • To enable the decays of the Higgs, W boson and tau lepton the hard decay handler is invoked. For details on the hard decay handling and how to enable specific decay modes see Hard decays. ##### 9.3.4.2. Higgs production in association with Z bosons and jets¶ This is an example setup for Higgs boson production in association with a Z boson and jets, as used in [HKP+]. It uses the MEPS@NLO method to merge pp->ZH and pp->ZHj at next-to-leading order accuracy and adds pp->ZHjj at leading order. The Higgs boson is decayed to W-pairs. All W and Z bosons are allowed to decay into electrons, muons or tau leptons. The tau leptons are then allowed to decay into all possible partonic channels, leptonic and hadronic, to allow for all possible trilepton signatures, unavoidably producing two and four lepton events as well. # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 ME_GENERATORS: [Comix, Amegic, OpenLoops] # define custom particle container for easy process declaration PARTICLE_CONTAINERS: 901: {Name: lightflavs, Flavours: [1, -1, 2, -2, 3, -3, 4, -4, 21]} NLO_CSS_DISALLOW_FLAVOUR: 5 # particle properties (ME widths need to be zero if external) PARTICLE_DATA: 23: {Width: 0} 25: {Mass: 125.5, Width: 0} 15: {Stable: 0, Massive: true} # hard decays setup, specify allowed decay channels # h->Wenu, h->Wmunu, h->Wtaunu, W->enu, W->munu, W->taunu, # Z->ee, Z->mumu, Z->tautau, tau->any + cc HARD_DECAYS: Enabled: true Channels: 25,24,-12,11: {Status: 2} 25,24,-14,13: {Status: 2} 25,24,-16,15: {Status: 2} 25,-24,12,-11: {Status: 2} 25,-24,14,-13: {Status: 2} 25,-24,16,-15: {Status: 2} 24,12,-11: {Status: 2} 24,14,-13: {Status: 2} 24,16,-15: {Status: 2} 23,15,-15: {Status: 2} -24,-12,11: {Status: 2} -24,-14,13: {Status: 2} -24,-16,15: {Status: 2} 15,16,-12,11: {Status: 2} 15,16,-14,13: {Status: 2} -15,-16,12,-11: {Status: 2} -15,-16,14,-13: {Status: 2} 15,16,-2,1: {Status: 2} 15,16,-4,3: {Status: 2} -15,-16,2,-1: {Status: 2} -15,-16,4,-3: {Status: 2} Decay_Tau: 1 Apply_Branching_Ratios: 0 PROCESSES: - 901 901 -> 23 25 901{2}: Order: {QCD: 0, EW: 2} CKKW: 30 2->2-3: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops  Things to notice: • A custom particle container, cf. Particle containers, has been declared, facilitating the process declaration. • As the bottom quark is treated as being massless by default, a five flavour calculation is performed. The particle container ensures that no external bottom quarks, however, are considered to resolve the overlap with single top and top pair processes. • OpenLoops [CMP12] is used as the provider of the one-loop matrix elements. • To enable the decays of the Higgs, W and Z bosons and tau lepton the hard decay handler is invoked. For details on the hard decay handling and how to enable specific decay modes see Hard decays. ##### 9.3.4.3. Higgs production in association with lepton pairs¶ This is an example setup for Higgs boson production in association with an electron-positron pair using the MC@NLO technique. The Higgs boson is decayed to b-quark pairs. Contrary to the previous examples this setup does not use on-shell intermediate vector bosons in its matrix element calculation. BEAMS: 2212 BEAM_ENERGIES: 6500 ME_GENERATORS: [Comix, Amegic, OpenLoops] CORE_SCALE: VAR{Abs2(p[2]+p[3]+p[4])} PARTICLE_DATA: 5: {Massive: true} 15: {Massive: true} 25: {Stable: 0, Width: 0.0} # hard decays setup, specify allowed decay channels h->bb HARD_DECAYS: Enabled: true Channels: 25 -> 5 -5: {Status: 2} Apply_Branching_Ratios: false PROCESSES: - 93 93 -> 11 -11 25: Order: {QCD: 0, EW: 3} NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} Loop_Generator: OpenLoops ME_Generator: Amegic RS_ME_Generator: Comix Integration_Error: 0.1  Things to notice: • The central scale is set to the invariant mass of the Higgs boson and the lepton pair. • As the bottom quark is set to be treated massively, a four flavour calculation is performed. • OpenLoops [CMP12] is used as the provider of the one-loop matrix elements. • To enable the decays of the Higgs the hard decay handler is invoked. For details on the hard decay handling and how to enable specific decay modes see Hard decays. #### 9.3.5. Associated t anti-t H production at the LHC¶ This set-up illustrates the interface to an external loop matrix element generator as well as the possibility of specifying hard decays for particles emerging from the hard interaction. The process generated is the production of a Higgs boson in association with a top quark pair from two light partons in the initial state. Each top quark decays into an (anti-)bottom quark and a W boson. The W bosons in turn decay to either quarks or leptons. BEAMS: 2212 BEAM_ENERGIES: 6500 ME_GENERATORS: [Comix, Amegic, OpenLoops] # to use a dedicated loop library you can run scons in this Example directory and replace OpenLoops with TTH throughout this run card CORE_SCALE: VAR{sqr(175+125/2)} PARTICLE_DATA: 5: {Yukawa: 4.92} 6: {Stable: 0, Width: 0.0} 24: {Stable: 0} 25: {Stable: 0, Width: 0.0} # hard decays setup, specify allowed decay channels h->bb HARD_DECAYS: Enabled: true Channels: 25,5,-5: {Status: 2} Apply_Branching_Ratios: false PROCESSES: - 93 93 -> 25 6 -6: Order: {QCD: 2, EW: 1} NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} Loop_Generator: OpenLoops ME_Generator: Amegic RS_ME_Generator: Comix Integration_Error: 0.1  Things to notice: • The virtual matrix elements is interfaced from OpenLoops. • The top quarks are stable in the hard matrix elements. They are decayed using the internal decay module, indicated by the settings in the HARD_DECAYS and PARTICLE_DATA blocks. • Widths of top and Higgs are set to 0 for the matrix element calculation. A kinematical Breit-Wigner distribution will be imposed a-posteriori in the decay module. • The Yukawa coupling of the b-quark has been set to a non-zero value to allow the H->bb decay channel even despite keeping the b-quark massless for a five-flavour-scheme calculation. • Higgs BRs are not included in the cross section (Apply_Branching_Ratios: false) as they will be LO only and not include loop-induced decays ### 9.4. Top quark (pair) + jets production¶ #### 9.4.1. Top quark pair production¶ # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 # scales EXCLUSIVE_CLUSTER_MODE: 1 CORE_SCALE: TTBar # me generator settings ME_GENERATORS: [Comix, Amegic, OpenLoops] # decays HARD_DECAYS: Enabled: true Channels: 24,2,-1: {Status: 0} 24,4,-3: {Status: 0} -24,-2,1: {Status: 0} -24,-4,3: {Status: 0} # particle properties (width of external particles of the MEs must be zero) PARTICLE_DATA: 6: {Width: 0} # on-the-fly variations SCALE_VARIATIONS: 4.0* # 7-point scale variations PROCESSES: - 93 93 -> 6 -6 93{3}: Order: {QCD: 2, EW: 0} CKKW: 20 2->2-3: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops 2->5-8: Max_N_Quarks: 6 Integration_Error: 0.05  Things to notice: #### 9.4.2. Top quark pair production incuding approximate EW corrections¶ # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 # scales EXCLUSIVE_CLUSTER_MODE: 1 CORE_SCALE: TTBar # me generator settings ME_GENERATORS: [Comix, Amegic, OpenLoops] # decays HARD_DECAYS: Enabled: true Channels: 24,2,-1: {Status: 0} 24,4,-3: {Status: 0} -24,-2,1: {Status: 0} -24,-4,3: {Status: 0} # particle properties (width of external particles of the MEs must be zero) PARTICLE_DATA: 6: {Width: 0} # on-the-fly variations (QCD) SCALE_VARIATIONS: 4.0* # 7-point scale variations # on-the-fly variations (EWapprox) ASSOCIATED_CONTRIBUTIONS_VARIATIONS: - [EW] - [EW, LO1] - [EW, LO1, LO2] - [EW, LO1, LO2, LO3] OL_PARAMETERS: ew_renorm_scheme: 1 PROCESSES: - 93 93 -> 6 -6 93{3}: Order: {QCD: 2, EW: 0} CKKW: 20 2->2-3: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops Associated_Contributions: [EW, LO1, LO2, LO3] 2->5-8: Max_N_Quarks: 6 Integration_Error: 0.05  Things to notice: • In addition to the setup in Top quark pair production we add approximate EW corrections, cf. [GLS18]. • Please note: this setup only works with OpenLoops v.2 or later. • The approximate EW corrections are added as additional variations on the event weight. #### 9.4.3. Production of a top quark pair in association with a W-boson¶ # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 # me generator settings ME_GENERATORS: [Comix, Amegic, OpenLoops] # settings for hard decays HARD_DECAYS: Enabled: true Channels: 24,2,-1: {Status: 0} 24,4,-3: {Status: 0} 24,16,-15: {Status: 0} # model parameters PARTICLE_DATA: 6: {Width: 0} 24: {Width: 0} # technical parameters EXCLUSIVE_CLUSTER_MODE: 1 PROCESSES: - 93 93 -> 6 -6 24: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} Order: {QCD: 2, EW: 1} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops  Things to notice: • Hard decays are enabled through HARD_DECAYS:Enabled: true. • Top quarks and W bosons are final states in the hard matrix elements, so their widths are set to zero using Width: 0 in their PARTICLE_DATA settings. • Certain decay channels are disabled using Status: 0 in the Channels sub-settings of the HARD_DECAYS setting. ### 9.5. Single-top production in the s, t and tW channel¶ In this section, examples for single-top production in three different channels are described. For the channel definitions and a validation of these setups, see [BSK]. #### 9.5.1. t-channel single-top production¶ # SHERPA run card for t-channel single top-quark production at MC@NLO # and N_f = 5 # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 # me generator settings ME_GENERATORS: [Comix, Amegic, OpenLoops] # scales # CORESCALE SingleTop: # use Mandelstam \hat{t} for s-channel 2->2 core process CORE_SCALE: SingleTop # disable hadronic W decays HARD_DECAYS: Enabled: true Channels: 24,2,-1: {Status: 0} 24,4,-3: {Status: 0} -24,-2,1: {Status: 0} -24,-4,3: {Status: 0} # choose EW Gmu input scheme EW_SCHEME: 3 # required for using top-quark in ME PARTICLE_DATA: { 6: {Width: 0} } PROCESSES: - 93 93 -> 6 93: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} Order: {QCD: 0, EW: 2} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops Min_N_TChannels: 1 # require t-channel W  Things to notice: • We use OpenLoops to compute the virtual corrections [CMP12]. • We match matrix elements and parton showers using the MC@NLO technique for massive particles, as described in [HHL+13]. • A non-default METS core scale setter is used, cf. METS scale setting with multiparton core processes • We enable top and W decays through the internal decay module using HARD_DECAYS:Enabled: true. The W is restricted to its leptonic decay channels. • By setting Min_N_TChannels: 1, only t-channel diagrams are used for the calculation #### 9.5.2. t-channel single-top production with N_f=4¶ # SHERPA run card for t-channel single top-quark production at MC@NLO # and N_f = 4 # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 # me generator settings ME_GENERATORS: [Comix, Amegic, OpenLoops] # scales # muR = transverse momentum of the bottom # muF = muQ = transverse momentum of the top CORE_SCALE: VAR{MPerp2(p[2])}{MPerp2(p[3])}{MPerp2(p[2])} # disable hadronic W decays HARD_DECAYS: Enabled: true Channels: 24,2,-1: {Status: 0} 24,4,-3: {Status: 0} -24,-2,1: {Status: 0} -24,-4,3: {Status: 0} # choose EW Gmu input scheme EW_SCHEME: 3 PARTICLE_DATA: 6: {Width: 0} # required for using top-quark in ME 5: {Massive: true, Mass: 4.18} # mass as in NNPDF30_nlo_as_0118_nf_4 # configure for N_f = 4 PDF_LIBRARY: LHAPDFSherpa PDF_SET: NNPDF30_nlo_as_0118_nf_4 ALPHAS: {USE_PDF: 1} PROCESSES: - 93 93 -> 6 -5 93: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} Order: {QCD: 1, EW: 2} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops Min_N_TChannels: 1 # require t-channel W  Things to notice: #### 9.5.3. s-channel single-top production¶ # SHERPA run card for s-channel single top-quark production at MC@NLO # and N_f = 5 # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 # me generator settings ME_GENERATORS: [Comix, Amegic, OpenLoops] # scales # CORESCALE SingleTop: # use Mandelstam \hat{s} for s-channel 2->2 core process CORE_SCALE: SingleTop # disable hadronic W decays HARD_DECAYS: Enabled: true Channels: 24,2,-1: {Status: 0} 24,4,-3: {Status: 0} -24,-2,1: {Status: 0} -24,-4,3: {Status: 0} # choose EW Gmu input scheme EW_SCHEME: 3 # required for using top-quark in ME PARTICLE_DATA: { 6: {Width: 0} } # there is no bottom in the initial-state in s-channel production PARTICLE_CONTAINERS: 900: {Name: lj, Flavours: [1, -1, 2, -2, 3, -3, 4, -4, 21]} PROCESSES: - 900 900 -> 6 93: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} Order: {QCD: 0, EW: 2} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops Max_N_TChannels: 0 # require s-channel W  Things to notice: • By excluding the bottom quark from the initial-state at Born level using PARTICLE_CONTAINER, and by setting Max_N_TChannels: 0, only s-channel diagrams are used for the calculation • See t-channel single-top production for more comments #### 9.5.4. tW-channel single-top production¶ # SHERPA run card for tW-channel single top-quark production at MC@NLO # and N_f = 5 # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 # me generator settings ME_GENERATORS: [Comix, Amegic, OpenLoops] # scales # mu = transverse momentum of the top CORE_SCALE: VAR{MPerp2(p[3])}{MPerp2(p[3])}{MPerp2(p[3])} # disable hadronic W decays HARD_DECAYS: Enabled: true Channels: 24,2,-1: {Status: 0} 24,4,-3: {Status: 0} -24,-2,1: {Status: 0} -24,-4,3: {Status: 0} # choose EW Gmu input scheme EW_SCHEME: 3 # required for using top-quark/W-boson in ME PARTICLE_DATA: 6: {Width: 0} 24: {Width: 0} PROCESSES: - 93 93 -> 6 -24: No_Decay: -6 # remove ttbar diagrams NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} Order: {QCD: 1, EW: 1} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops  Things to notice: • By setting No_Decay: -6, the doubly-resonant TTbar diagrams are removed. Only the singly-resonant diagrams remain as required by the definition of the channel. • See t-channel single-top production for more comments ### 9.6. Vector boson pairs + jets production¶ #### 9.6.1. Dilepton, missing energy and jets production¶ # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 # me generator settings ME_GENERATORS: [Comix, Amegic, OpenLoops] METS: { CLUSTER_MODE: 16 } # define parton container without b-quarks to # remove 0 processes with top contributions PARTICLE_CONTAINERS: 901: {Name: lightflavs, Flavours: [1, -1, 2, -2, 3, -3, 4, -4, 21]} NLO_CSS_DISALLOW_FLAVOUR: 5 PROCESSES: - 901 901 -> 90 91 90 91 901{3}: Order: {QCD: 0, EW: 4} CKKW: 30 2->4-5: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops 2->5-7: Integration_Error: 0.05 SELECTORS: - VariableSelector: Variable: PT Flavs: 90 Ranges: [[5.0, E_CMS], [5.0, E_CMS]] Ordering: [PT_UP] - [Mass, 11, -11, 10.0, E_CMS] - [Mass, 13, -13, 10.0, E_CMS] - [Mass, 15, -15, 10.0, E_CMS]  #### 9.6.2. Dilepton, missing energy and jets production (gluon initiated)¶ # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 # scales CORE_SCALE: VAR{Abs2(p[2]+p[3]+p[4]+p[5])/4.0} # me generator settings ME_GENERATORS: [Amegic, OpenLoops] AMEGIC: { ALLOW_MAPPING: 0 } # the following phase space libraries have to be generated with the # corresponding qq->llvv setup (Sherpa.tree.yaml) first; # they will appear in Process/Amegic/lib/libProc_fsrchannels*.so SHERPA_LDADD: [Proc_fsrchannels4, Proc_fsrchannels5] PROCESSES: - 93 93 -> 90 90 91 91 93{1}: CKKW:$(QCUT)
Enable_MHV: 10
Loop_Generator: OpenLoops
2->4:
Order: {QCD: 2, EW: 4}
Integrator: fsrchannels4
2->5:
Order: {QCD: 3, EW: 4}
Integrator: fsrchannels5
Integration_Error: 0.02

SELECTORS:
- [Mass, 11, -11, 10.0, E_CMS]
- [Mass, 13, -13, 10.0, E_CMS]
- [Mass, 15, -15, 10.0, E_CMS]


#### 9.6.3. Four lepton and jets production¶

# collider setup
BEAMS: 2212
BEAM_ENERGIES: 6500

# me generator settings
ME_GENERATORS: [Comix, Amegic, OpenLoops]
METS: { CLUSTER_MODE: 16 }

PROCESSES:
- 93 93 -> 90 90 90 90 93{3}:
Order: {QCD: 0, EW: 4}
CKKW: 30
2->4-5:
NLO_Mode: MC@NLO
NLO_Order: {QCD: 1, EW: 0}
ME_Generator: Amegic
RS_ME_Generator: Comix
Loop_Generator: OpenLoops
2->5-7:
Integration_Error: 0.05

SELECTORS:
- VariableSelector:
Variable: PT
Flavs: 90
Ranges: [[5.0, E_CMS], [5.0, E_CMS]]
Ordering: [PT_UP]
- [Mass, 11, -11, 10.0, E_CMS]
- [Mass, 13, -13, 10.0, E_CMS]
- [Mass, 15, -15, 10.0, E_CMS]


#### 9.6.4. Four lepton and jets production (gluon initiated)¶

# collider setup
BEAMS: 2212
BEAM_ENERGIES: 6500

# scales
CORE_SCALE: VAR{Abs2(p[2]+p[3]+p[4]+p[5])/4.0}

# me generator settings
ME_GENERATORS: [Amegic, OpenLoops]
AMEGIC: { ALLOW_MAPPING: 0 }
# the following phase space libraries have to be generated with the
# corresponding qq->llll setup (Sherpa.tree.yaml) first;
# they will appear in Process/Amegic/lib/libProc_fsrchannels*.so

PROCESSES:
- 93 93 -> 90 90 90 90 93{1}:
CKKW: $(QCUT) Enable_MHV: 10 Loop_Generator: OpenLoops 2->4: Order: {QCD: 2, EW: 4} Integrator: fsrchannels4 2->5: Order: {QCD: 3, EW: 4} Integrator: fsrchannels5 Integration_Error: 0.02 SELECTORS: - [Mass, 11, -11, 10.0, E_CMS] - [Mass, 13, -13, 10.0, E_CMS] - [Mass, 15, -15, 10.0, E_CMS]  #### 9.6.5. WZ production with jets production¶ # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 # scales CORE_SCALE: VAR{Abs2(p[2]+p[3])/4.0} # me generator settings ME_GENERATORS: [Comix, Amegic, OpenLoops] HARD_DECAYS: Enabled: true Channels: 24,2,-1: {Status: 2} 24,4,-3: {Status: 2} -24,-2,1: {Status: 2} -24,-4,3: {Status: 2} 23,12,-12: {Status: 2} 23,14,-14: {Status: 2} 23,16,-16: {Status: 2} PARTICLE_DATA: 23: {Width: 0} 24: {Width: 0} PROCESSES: - 93 93 -> 24 23 93{3}: Order: {QCD: 0, EW: 2} CKKW: 30 2->2-3: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops 2->3-7: Integration_Error: 0.05 - 93 93 -> -24 23 93{3}: Order: {QCD: 0, EW: 2} CKKW: 30 2->2-3: NLO_Mode: MC@NLO NLO_Order: {QCD: 1, EW: 0} ME_Generator: Amegic RS_ME_Generator: Comix Loop_Generator: OpenLoops 2->3-7: Integration_Error: 0.05  #### 9.6.6. Same sign dilepton, missing energy and jets production¶ # collider setup BEAMS: 2212 BEAM_ENERGIES: 6500 # choose EW Gmu input scheme EW_SCHEME: 3 # tags for process setup TAGS: NJET: 1 QCUT: 30 # scales CORE_SCALE: VAR{Abs2(p[2]+p[3]+p[4]+p[5])} EXCLUSIVE_CLUSTER_MODE: 1 # solves problem with dipole QED modeling ME_QED: { CLUSTERING_THRESHOLD: 10 } # improve integration performance PSI: { ITMIN: 25000 } INTEGRATION_ERROR: 0.05 PROCESSES: - 93 93 -> 11 11 -12 -12 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) - 93 93 -> 13 13 -14 -14 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) - 93 93 -> 15 15 -16 -16 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) - 93 93 -> 11 13 -12 -14 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) - 93 93 -> 11 15 -12 -16 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) - 93 93 -> 13 15 -14 -16 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) - 93 93 -> -11 -11 12 12 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) - 93 93 -> -13 -13 14 14 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) - 93 93 -> -15 -15 16 16 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) - 93 93 -> -11 -13 12 14 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) - 93 93 -> -11 -15 12 16 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) - 93 93 -> -13 -15 14 16 93 93 93{$(NJET)}:
Order: {QCD: 0, EW: 6}
CKKW: $(QCUT) SELECTORS: - [PT, 90, 5.0, E_CMS] - NJetFinder: N: 2 PTMin: 15.0 ETMin: 0.0 R: 0.4 Exp: -1  ### 9.7. Event generation in the MSSM using UFO¶ This is an example for event generation in the MSSM using Sherpa’s UFO support. In the corresponding Example directory <prefix>/share/SHERPA-MC/Examples/UFO_MSSM/, you will find a directory MSSM that contains the UFO output for the MSSM (https://feynrules.irmp.ucl.ac.be/wiki/MSSM). To run the example, generate the model as described in UFO Model Interface by executing $ cd <prefix>/share/SHERPA-MC/Examples/UFO_MSSM/
$<prefix>/bin/Sherpa-generate-model MSSM  An example run card will be written to the working directory. Use this run card as a template to generate events. ### 9.8. Deep-inelastic scattering¶ #### 9.8.1. DIS at HERA¶ This is an example of a setup for hadronic final states in deep-inelastic lepton-nucleon scattering at a centre-of-mass energy of 300 GeV. Corresponding measurements were carried out by the H1 and ZEUS collaborations at the HERA collider at DESY Hamburg. # collider setup BEAMS: [-11, 2212] BEAM_ENERGIES: [27.5, 820] PDF_SET: [None, Default] # technical parameters TAGS: QCUT: 5 SDIS: 1.0 LGEN: BlackHat ME_GENERATORS: - Comix - Amegic -$(LGEN)
RESPECT_MASSIVE_FLAG: true
CSS_KIN_SCHEME: 1

PARJ:
- [21, 0.432]
- [41, 1.05]
- [42, 1.0]
- [47, 0.65]
MSTJ:
- [11, 5]
FRAGMENTATION: Lund
DECAYMODEL: Lund

PROCESSES:
- -11 93 -> -11 93 93{4}:
CKKW: $(QCUT)/sqrt(1.0+sqr($(QCUT)/$(SDIS))/Abs2(p[2]-p[0])) Order: {QCD: 0, EW: 2} Max_N_Quarks: 6 Loop_Generator:$(LGEN)
2->2-3:
NLO_Mode: MC@NLO
NLO_Order: {QCD: 1, EW: 0}
ME_Generator: Amegic
RS_ME_Generator: Comix
2->3:
PSI_ItMin: 25000
Integration_Error: 0.03

SELECTORS:
- [Q2, -11, -11, 4, 1e12]


Things to notice:

• the beams are asymmetric with the positrons at an energy of 27.5 GeV, while the protons carry 820 GeV of energy.

• the multi-jet merging cut is set dynamically for each event, depending on the photon virtuality, see [CGH10].

• there is a selector cut on the photon virtuality. This cut implements the experimental requirements for identifying the deep-inelastic scattering process.

### 9.9. Fixed-order next-to-leading order calculations¶

#### 9.9.1. Production of NTuples¶

Root NTuples are a convenient way to store the result of cumbersome fixed-order calculations in order to perform multiple analyses. This example shows how to generate such NTuples and reweighted them in order to change factorisation and renormalisation scales. Note that in order to use this setup, Sherpa must be configured with option --enable-root=/path/to/root, see Event output formats. If Sherpa has not been configured with Rivet analysis support, please disable the analysis using -a0 on the command line, see Command Line Options.

When using NTuples, one needs to bear in mind that every calculation involving jets in the final state is exclusive in the sense that a lower cut-off on the jet transverse momenta must be imposed. It is therefore necessary to check whether the event sample stored in the NTuple is sufficiently inclusive before using it. Similar remarks apply when photons are present in the NLO calculation or when cuts on leptons have been applied at generation level to increase efficiency. Every NTuple should therefore be accompanied by an appropriate documentation.

NTuple compression can be customized using the parameter ROOTNTUPLE_COMPRESSION, which is used to call TFile::SetCompressionSettings. For a detailed documentation of available options, see http://root.cern.ch

This example will generate NTuples for the process pp->lvj, where l is an electron or positron, and v is an electron (anti-)neutrino. We identify parton-level jets using the anti-k_T algorithm with R=0.4 [CSS08]. We require the transverse momentum of these jets to be larger than 20 GeV. No other cuts are applied at generation level.

EVENTS: 100k
EVENT_GENERATION_MODE: Weighted
TAGS:
LGEN: BlackHat
ME_GENERATORS: [Amegic, $(LGEN)] # Analysis (please configure with --enable-rivet & --enable-hepmc2) ANALYSIS: Rivet ANALYSIS_OUTPUT: Analysis/HTp/BVI/ # NTuple output (please configure with '--enable-root') EVENT_OUTPUT: EDRoot[NTuple_B-like] BEAMS: 2212 BEAM_ENERGIES: 3500 SCALES: VAR{sqr(sqrt(H_T2)-PPerp(p[2])-PPerp(p[3])+MPerp(p[2]+p[3]))/4} EW_SCHEME: 0 WIDTH_SCHEME: Fixed # sin\theta_w -> 0.23 DIPOLES: {ALPHA: 0.03} PARTICLE_DATA: 13: {Massive: true} 15: {Massive: true} PROCESSES: # The Born piece - 93 93 -> 90 91 93: Order: {QCD: 1, EW: 2} NLO_Order: {QCD: 1, EW: 0} NLO_Mode: Fixed_Order NLO_Part: B # The virtual piece - 93 93 -> 90 91 93: Order: {QCD: 1, EW: 2} NLO_Order: {QCD: 1, EW: 0} NLO_Mode: Fixed_Order NLO_Part: V Loop_Generator:$(LGEN)
# The integrated subtraction piece
- 93 93 -> 90 91 93:
Order: {QCD: 1, EW: 2}
NLO_Order: {QCD: 1, EW: 0}
NLO_Mode: Fixed_Order
NLO_Part: I
SELECTORS:
- FastjetFinder:
Algorithm: antikt
N: 1
PTMin: 20
ETMin: 0
DR: 0.4
RIVET:
--analyses: ATLAS_2012_I1083318
USE_HEPMC_SHORT: 1
--ignore-beams: 1


Things to notice:

• NTuple production is enabled by EVENT_OUTPUT: Root[NTuple_B-like], see Event output formats.

• The scale used is defined as in [BBD+09].

• EW_SCHEME: 0 and WIDTH_SCHEME: Fixed are used to set the value of the weak mixing angle to 0.23, consistent with EW precision measurements.

• DIPOLES:ALPHA: 0.03 is used to limit the active phase space of dipole subtractions.

• 13:Massive: true and 15:Massive: 1 are used to limit the number of active lepton flavours to electron and positron.

• The option USE_HEPMC_SHORT: 1 is used in the Rivet analysis section as the events produced by Sherpa are not at particle level.

##### 9.9.1.1. NTuple production¶

Start Sherpa using the command line

$Sherpa Sherpa.B-like.yaml  Sherpa will first create source code for its matrix-element calculations. This process will stop with a message instructing you to compile. Do so by running $ ./makelibs -j4


Launch Sherpa again, using

$Sherpa Sherpa.B-like.yaml  Sherpa will then compute the Born, virtual and integrated subtraction contribution to the NLO cross section and generate events. These events are analysed using the Rivet library and stored in a Root NTuple file called NTuple_B-like.root. We will use this NTuple later to compute an NLO uncertainty band. The real-emission contribution, including subtraction terms, to the NLO cross section is computed using $ Sherpa Sherpa.R-like.yaml


Events are generated, analysed by Rivet and stored in the Root NTuple file NTuple_R-like.root.

The two analyses of events with Born-like and real-emission-like kinematics need to be merged, which can be achieved using scripts like yodamerge. The result can then be plotted and displayed.

##### 9.9.1.2. Usage of NTuples in Sherpa¶

Next we will compute the NLO uncertainty band using Sherpa. To this end, we make use of the Root NTuples generated in the previous steps. Note that the setup files for reweighting are almost identical to those for generating the NTuples. We have simply replaced EVENT_OUTPUT by EVENT_INPUT.

We re-evaluate the events with the scale variation as defined in the Reweight configuration files:

$Sherpa Sherpa.Reweight.B-like.yaml$ Sherpa Sherpa.Reweight.R-like.yaml


The contributions can again be combined using yodamerge.

#### 9.9.2. MINLO¶

The following configuration file shows how to implement the MINLO procedure from [HNZ]. A few things to note are detailed below. MINLO can also be applied when reading NTuples, see Production of NTuples. In this case, the scale and K factor must be defined, see SCALES and KFACTOR.

BEAMS: 2212
BEAM_ENERGIES: 6500

EVENT_GENERATION_MODE: W
CORE_SCALE: VAR{Abs2(p[2]+p[3])+0.25*sqr(sqrt(H_T2)-PPerp(p[2])-PPerp(p[3])+PPerp(p[2]+p[3]))}

PROCESSES:
- 93 93 -> 11 -12 93:
Scales: MINLO
KFactor: MINLO
ME_Generator: Amegic
Loop_Generator: BlackHat
Order: {QCD: 1, EW: 2}

SELECTORS:
- [Mass, 11, -12, 2, E_CMS]
- FastjetFinder:
Algorithm: antikt
N: 1
PTMin: 1.0
ETMin: 1.0
DR: 0.4


Things to notice:

• The R parameter of the flavour-based kT clustering algorithm can be changed using MINLO:DELTA_R.

• Setting MINLO: {SUDAKOV_MODE: 0} defines whether to include power corrections stemming from the finite parts in the integral over branching probabilities. It defaults to 1.

• The parameter MINLO:SUDAKOV_PRECISION defines the precision target for integration of the Sudakov exponent. It defaults to 1e-4.

### 9.10. Soft QCD: Minimum Bias and Cross Sections¶

#### 9.10.1. Calculation of inclusive cross sections¶

Note that this example is not yet updated to the new YAML input format. Contact the Authors for more information.

(run){
OUTPUT              = 2
EVENT_TYPE          = MinimumBias
SOFT_COLLISIONS     = Shrimps
Shrimps_Mode        = Xsecs

deltaY    =  1.5;
Lambda2   =  1.7;
beta_0^2  =  20.0;
kappa     =  0.6;
xi        =  0.2;
lambda    =  0.3;
Delta     =  0.4;
}(run)

(beam){
BEAM_1 =  2212; BEAM_ENERGY_1 = 450.;
BEAM_2 =  2212; BEAM_ENERGY_2 = 450.;
}(beam)

(me){
ME_SIGNAL_GENERATOR = None
}(me)


Things to notice:

• Inclusive cross sections (total, inelastic, low-mass single-diffractive, low-mass double-diffractive, elastic) and the elastic slope are calculated for varying centre-of-mass energies in pp collisions

• The results are written to the file InclusiveQuantities/xsecs_total.dat and to the screen. The directory will automatically be created in the path from where Sherpa is run.

• The parameters of the model are not very well tuned.

#### 9.10.2. Simulation of Minimum Bias events¶

Note that this example is not yet updated to the new YAML input format. Contact the Authors for more information.

(run){
EVENTS              = 50k
OUTPUT              = 2
EVENT_TYPE          = MinimumBias
SOFT_COLLISIONS     = Shrimps
Shrimps_Mode        = Inelastic

ANALYSIS            = Rivet

ANALYSIS_OUTPUT     = test6

ALPHAS(MZ) 0.118;
ORDER_ALPHAS 1;
CSS_FS_PT2MIN       1.00

deltaY    =  1.5;
Lambda2   =  1.376;
beta_0^2  =  18.76;
kappa     =  0.6;
xi        =  0.2;
lambda    =  0.2151;
Delta     =  0.3052;

Q_0^2           = 2.25;
Chi_S           = 1.0;
Shower_Min_KT2  = 4.0;
Diff_Factor     = 4.0;
KT2_Factor      = 4.0;
RescProb        = 2.0;
RescProb1       = 0.5;
Q_RC^2          = 0.9;
ReconnProb      = -25.;
Resc_KTMin      = off;

Misha           = 0
}(run)

(beam){
BEAM_1 =  2212; BEAM_ENERGY_1 = 3500.;
BEAM_2 =  2212; BEAM_ENERGY_2 = 3500.;
}(beam)

(analysis){
BEGIN_RIVET {
-a ATLAS_2010_S8918562 ATLAS_2010_S8894728 ATLAS_2011_S8994773 ATLAS_2012_I1084540 TOTEM_2012_DNDETA ATLAS_2011_I919017 CMS_2011_S8978280 CMS_2011_S9120041 CMS_2011_S9215166 CMS_2010_S8656010 CMS_2011_S8884919 CMS_QCD_10_024
} END_RIVET
}(analysis)

(me){
ME_SIGNAL_GENERATOR = None
}(me)


Things to notice:

• The SHRiMPS model is not properly tuned yet – all parameters are set to very natural values, such as for example 1.0 GeV for infrared parameters.

• Elastic scattering and low-mass diffraction are not included.

• A large number of Minimum Bias-type analyses is enabled.

### 9.11. Setups for event production at B-factories¶

#### 9.11.1. QCD continuum¶

Example setup for QCD continuum production at the Belle/KEK collider. Please note, it does not include any hadronic resonance.

# collider setup
BEAMS:  [11, -11]
BEAM_ENERGIES: [7., 4.]

# model parameters
ALPHAS(MZ): 0.1188
ORDER_ALPHAS: 1
PARTICLE_DATA:
4: {Massive: 1}
5: {Massive: 1}
MASSIVE_PS: 3

PROCESSES:
- 11 -11 -> 93 93:
Order: {QCD: 0, EW: 2}
- 11 -11 -> 4 -4:
Order: {QCD: 0, EW: 2}
- 11 -11 -> 5 -5:
Order: {QCD: 0, EW: 2}


Things to notice:

• Asymmetric beam energies, photon ISR is switched on per default.

• Full mass effects of c and b quarks computed.

• Strong coupling constant value set to 0.1188 and two loop (NLO) running.

#### 9.11.2. Signal process¶

Example setup for B-hadron pair production on the Y(4S) pole.

# collider setup
BEAMS:  [11, -11]
BEAM_ENERGIES: [7., 4.]

# model parameters
ALPHAS(MZ): 0.1188
ORDER_ALPHAS: 1
PARTICLE_DATA:
4: {Massive: 1}
5: {Massive: 1}
MASSIVE_PS: 3
ME_GENERATORS: Internal
CORE_SCALE: VAR{sqr(91.2)}

PROCESSES:
#
# electron positron -> Y(4S) -> B+ B-
#
- 11 -11 -> 300553[a]:
Decay: "300553[a] -> 521 -521"
Order: {QCD: 0, EW: 0}
#
# electron positron -> Y(4S) -> B0 B0bar
#
- 11 -11 -> 300553[a]:
Decay: "300553[a] -> 511 -511"
Order: {QCD: 0, EW: 0}


Things to notice:

• Same setup as QCD continuum, except for process specification.

• Production of both B0 and B+ pairs, in due proportion.

#### 9.11.3. Single hadron decay chains¶

This setup is not a collider setup, but a simulation of a hadronic decay chain.

# collider setup
BEAMS:  [11, -11]
BEAM_ENERGIES: [7., 4.]

# general settings

# specify hadron to be decayed
DECAYER: 511

# initialise rest for Sherpa not to complain
# model parameters
SCALES: VAR{sqr(91.2)}

PROCESSES:
- 11 -11 -> 13 -13:
Order: {QCD: 0, EW: 2}


Things to notice:

• EVENT_TYPE is set to HadronDecay.

• DECAYER specifies the hadron flavour initialising the decay chain.

• A place holder process is declared such that the Sherpa framework can be initialised. That process will not be used.

### 9.12. Calculating matrix element values for externally given configurations¶

#### 9.12.1. Computing matrix elements for individual phase space points using the Python Interface¶

Sherpa’s Python interface (see Python Interface) can be used to compute matrix elements for individual phase space points. Access to a designated class “MEProcess” is provided by interface to compute matrix elements as illustrated in the example script.

Please note that the process in the script must be compatible with the one specified in the Sherpa configuration file in the working directory. A random phase space point for the process of interest can be generated as shown in the example.

If AMEGIC++ is used as the matrix element generator, executing the script will result in AMEGIC++ writing out libraries and exiting. After compiling the libraries using ./makelibs, the script must be executed again in order to obtain the matrix element.

#!/usr/bin/env python2
import sys
sys.path.append('@PYLIBDIR@')
import Sherpa

# Add this to the execution arguments to prevent Sherpa from starting the cross section integration
sys.argv.append('INIT_ONLY: 2')

Generator=Sherpa.Sherpa(len(sys.argv),sys.argv)
try:
Generator.InitializeTheRun()
Process=Sherpa.MEProcess(Generator)

# Incoming flavors must be added first!
Process.Initialize();

# First argument corresponds to particle index:
# index 0 correspons to particle added first, index 1 is the particle added second, and so on...
Process.SetMomentum(0, 45.6,0.,0.,45.6)
Process.SetMomentum(1, 45.6,0.,0.,-45.6)
Process.SetMomentum(2, 45.6,0.,45.6,0.)
Process.SetMomentum(3, 45.6,0.,-45.6,0.)
print '\nSquared ME: ', Process.CSMatrixElement()

# Momentum setting via list of floats
Process.SetMomenta([[45.6,0.,0.,45.6],
[45.6,0.,0.,-45.6],
[45.6,0.,45.6,0.],
[45.6,0.,-45.6,0.]])
print '\nSquared ME: ', Process.CSMatrixElement()

# Random momenta
E_cms = 500.0
wgt = Process.TestPoint(E_cms)
print '\nRandom test point '
print 'Squared ME: ', Process.CSMatrixElement(), '\n'

except Sherpa.SherpaException as exc:
print exc
exit(1)


#### 9.12.2. Computing matrix elements for individual phase space points using the C++ Interface¶

Matrix elements values for user defined phase space points can also be quarried using a small C++ executable provided in Examples/API/ME2. It can be compiled using the provided Makefile. The test program is then run typing (note: the LD_LIBRARY_PATH must be set to include <Sherpa-installation>/lib/SHERPA-MC)

$./test <options>  where the usual options for Sherpa are passed. An example configuration file, giving both the process and the requested phase space points looks like BEAMS: [11, -11] BEAM_ENERGIES: 45.6 EVENTS: 0 INIT_ONLY: 2 PDF_LIBRARY: None PROCESSES: - 11 -11 -> 2 -2 21 21 21 21: {} MOMENTA: - [ [ 11, 45.6, 0.0, 0.0, 45.6 ], [ -11, 45.6, 0.0, 0.0, -45.6 ], [ 21, 10.0, 0.0, 0.0, -10.0, 1, 2 ], [ 21, 10.0, 0.0, 0.0, 10.0, 2, 3 ], [ 21, 10.0, 10.0, 0.0, 0.0, 3, 1 ], [ 21, 10.0, -10.0, 0.0, 0.0, 1, 3 ], [ 2, 25.6, 0.0, 25.6, 0.0, 3, 0 ], [ -2, 25.6, 0.0, -25.6, 0.0, 0, 1 ] ] - [ [ 11, 45.6, 0.0, 0.0, 45.6 ], [ -11, 45.6, 0.0, 0.0, -45.6 ], [ 21, 12.0, 0.0, 0.0, -12.0, 1, 2 ], [ 21, 12.0, 0.0, 0.0, 12.0, 2, 3 ], [ 21, 12.0, 12.0, 0.0, 0.0, 3, 1 ], [ 21, 12.0, -12.0, 0.0, 0.0, 1, 3 ], [ 2, 21.6, 0.0, 21.6, 0.0, 3, 0 ], [ -2, 21.6, 0.0, -21.6, 0.0, 0, 1 ] ] - [ [ 11, 45.6, 0.0, 0.0, 45.6 ], [ -11, 45.6, 0.0, 0.0, -45.6 ], [ 21, 14.0, 0.0, 0.0, -14.0, 1, 2 ], [ 21, 14.0, 0.0, 0.0, 14.0, 2, 3 ], [ 21, 14.0, 14.0, 0.0, 0.0, 3, 1 ], [ 21, 14.0, -14.0, 0.0, 0.0, 1, 3 ], [ 2, 17.6, 0.0, 17.6, 0.0, 3, 0 ], [ -2, 17.6, 0.0, -17.6, 0.0, 0, 1 ] ] - [ [ 11, 45.6, 0.0, 0.0, 45.6 ], [ -11, 45.6, 0.0, 0.0, -45.6 ], [ 21, 16.0, 0.0, 0.0, -16.0, 1, 2 ], [ 21, 16.0, 0.0, 0.0, 16.0, 2, 3 ], [ 21, 16.0, 16.0, 0.0, 0.0, 3, 1 ], [ 21, 16.0, -16.0, 0.0, 0.0, 1, 3 ], [ 2, 13.6, 0.0, 13.6, 0.0, 3, 0 ], [ -2, 13.6, 0.0, -13.6, 0.0, 0, 1 ] ]  Please note that both the process and the beam specifications need to be present in order for Sherpa to initialise properly. The momenta need to be given in the proper ordering employed in Sherpa, which can be read from the process name printed on screen. For each entry the sequence is the following [<pdg-id>, <E>, <px>, <py>, <pz>, triplet-index, antitriplet-index]  with the colour indices ranging from 1..3 for both the triplet and the antitriplet index in the colour-flow basis. The colour information is only needed if Comix is used for the calculation as Comix then also gives the squared matrix element value for this colour configuration. Otherwise, the last two arguments can be omitted. In any case, the colour-summed value is printed to screen. ### 9.13. Using the Python interface¶ #### 9.13.1. Generate events using scripts¶ This example shows how to generate events with Sherpa using a Python wrapper script. For each event the weight, the number of trials and the particle information is printed to stdout. This script can be used as a basis for constructing interfaces to own analysis routines. #!/usr/bin/python2 @LOADMPIFORPY@ import sys sys.path.append('@PYLIBDIR@') import Sherpa Generator=Sherpa.Sherpa(len(sys.argv),sys.argv) try: Generator.InitializeTheRun() Generator.InitializeTheEventHandler() for n in range(1,1+Generator.NumberOfEvents()): Generator.GenerateOneEvent() blobs=Generator.GetBlobList(); print "Event",n,"{" ## print blobs print " Weight ",blobs.GetFirst(1)["Weight"]; print " Trials ",blobs.GetFirst(1)["Trials"]; for i in range(0,blobs.size()): print " Blob",i,"{" ## print blobs[i]; print " Incoming particles" for j in range(0,blobs[i].NInP()): part=blobs[i].InPart(j) ## print part s=part.Stat() f=part.Flav() p=part.Momentum() print " ",j,": ",s,f,p print " Outgoing particles" for j in range(0,blobs[i].NOutP()): part=blobs[i].OutPart(j) ## print part s=part.Stat() f=part.Flav() p=part.Momentum() print " ",j,": ",s,f,p print " } Blob",i print "} Event",n if ((n%100)==0): print " Event ",n Generator.SummarizeRun() except Sherpa.SherpaException as exc: exit(1)  #### 9.13.2. Generate events with MPI using scripts¶ This example shows how to generate events with Sherpa using a Python wrapper script and MPI. For each event the weight, the number of trials and the particle information is send to the MPI master node and written into a single gzip’ed output file. Note that you need the mpi4py module to run this Example. Sherpa must be configured and installed using --enable-mpi, see MPI parallelization. #!/usr/bin/python2 @LOADMPIFORPY@ import sys sys.path.append('@PYLIBDIR@') import Sherpa import gzip class MyParticle: def __init__(self,p): self.kfc=p.Flav().Kfcode() if p.Flav().IsAnti(): self.kfc=-self.kfc self.E=p.Momentum()[0] self.px=p.Momentum()[1] self.py=p.Momentum()[2] self.pz=p.Momentum()[3] def __str__(self): return (str(self.kfc)+" "+str(self.E)+" " +str(self.px)+" "+str(self.py)+" "+str(self.pz)) Generator=Sherpa.Sherpa(len(sys.argv),sys.argv) try: Generator.InitializeTheRun() Generator.InitializeTheEventHandler() comm=MPI.COMM_WORLD rank=comm.Get_rank() size=comm.Get_size() if rank==0: outfile=gzip.GzipFile("events.gz",'w') for n in range(1,1+Generator.NumberOfEvents()): for t in range(1,size): weight=comm.recv(source=t,tag=t) trials=comm.recv(source=t,tag=2*t) parts=comm.recv(source=t,tag=3*t) outfile.write("E "+str(weight)+" "+str(trials)+"\n") for p in parts: outfile.write(str(p)+"\n") if (n%100)==0: print " Event",n outfile.close() else: for n in range(1,1+Generator.NumberOfEvents()): Generator.GenerateOneEvent() blobs=Generator.GetBlobList(); weight=blobs.GetFirst(1)["Weight"] trials=blobs.GetFirst(1)["Trials"] parts=[] for i in range(0,blobs.size()): for j in range(0,blobs[i].NOutP()): part=blobs[i].OutPart(j) if part.Stat()==1 and part.HasDecBlob()==0: parts.append(MyParticle(part)) comm.send(weight,dest=0,tag=rank) comm.send(trials,dest=0,tag=2*rank) comm.send(parts,dest=0,tag=3*rank) Generator.SummarizeRun() except Sherpa.SherpaException as exc: exit(1)  ## 10. Getting help¶ If Sherpa exits abnormally, first check the Sherpa output for hints on the reason of program abort, and try to figure out what has gone wrong with the help of the Manual. Note that Sherpa throwing a normal_exit exception does not imply any abnormal program termination! When using AMEGIC++ Sherpa will exit with the message: New libraries created. Please compile.  In this case, follow the instructions given in Running Sherpa with AMEGIC++. If this does not help, contact the Sherpa team (see the Sherpa Team section of the website sherpa.hepforge.org), providing all information on your setup. Please include 1. A complete tarred and gzipped set of the Sherpa.yaml config file leading to the crash. Use the status recovery directory Status__<date of crash>` produced before the program abort. 2. The command line (including possible parameters) you used to start Sherpa. 3. The installation log file, if available. ## 11. 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