The HepMC C++ Monte Carlo event record for High Energy Physics ? ? Available via the following web-a

By M. Dobbs, J. Hansen. 2001

328 citations recorded by the source corpus.

Abstract HepMC is an Object Oriented event record written in C++ for High Energy Physics Monte Carlo event generators. Many extensions from HEPEVT, the Fortran HEP standard, are supported: the number of entries is unlimited, spin density matrices can be stored with each vertex, flow patterns (such as colour) can be stored and traced, random number generator states can be stored, and an arbitrary number of event weights can be included. Particles and vertices are stored separately in a graph structure, reflecting the evolution of a physics event. The added information supports the modularization of event generators. The event record has been kept as simple as possible with minimal internal/external dependencies. Event information is accessed by means of iterators supplied with HepMC.

Subfields: Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/f332c781b0d829d45977a512171291026cf17933

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Citations in the corpus

Les Houches 2013: Physics at TeV Colliders: Standard Model Working Group Report (2014, methodology): “161 2 Proposed updates for HepMC event record2”
Handling of the generation of primary events in Gauss, the LHCb simulation framework (2010, methodology): “The generated event is stored in HepMC format [9] and is then transferred to the simulation step, as illustrated in Fig.”
Geant4 developments and applications (2006, neutral): “generator format (HEPMC) [3].”
Rivet user manual (2010, methodology): “/rivet-bootstrap --install-agile --prefix=〈localdir〉 If you are running on a system where the CERN AFS area is mounted as /afs/cern.ch, then the bootstrap script will attempt to use the prebuilt HepMC[1], LHAPDF[2], FastJet[3, 4] and GSL libraries from the LCG software area.”
Event generation with Sherpa 2.2 (2019, methodology): “Relative weights that emerge from different choices of these inputs are provided either in the HEPMC event output [37] or directly passed through the internal interface to the RIVET analysis framework [45].”
Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks (2016, methodology): “Aside from the direct interface with PYTHIA, the framework is able to study output from other event generators by reading intermediate HepMC [46] files.”
The LHCb Simulation Application, Gauss: Design, Evolution and Experience (2011, methodology): “The format used for the generated event is the HepMC event record [7], wrapped into Gaudi data objects.”
The ATLAS Simulation Infrastructure (2010, methodology): “A generator produces events in standard HepMC format [14].”
Searching for long-lived particles beyond the Standard Model at the Large Hadron Collider (2019, background): “Both are configured to analyze events that are provided in the HepMC format [529].”