Buckley, A. , Ilten, P., Konstantinov, D., Lonnblad, L. and Monk, J. (2021) The HepMC3 event record library for Monte Carlo event generators. Computer Physics Communications, 260, 107310. (doi: 10.1016/j.cpc.2020.107310)
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Abstract
In high-energy physics, Monte Carlo event generators (MCEGs) are used to simulate the interactions of high energy particles. MCEG event records store the information on the simulated particles and their relationships, and thus reflect the simulated evolution of physics phenomena in each collision event. We present the HepMC3 library, a next-generation framework for MCEG event record encoding and manipulation, which builds on the functionality of its widely-used predecessors to enable more sophisticated algorithms for event-record analysis. As compared to previous versions, the event record structure has been simplified, while adding the possibility to encode arbitrary information. The I/O functionality has been extended to support common input and output formats of various HEP MCEGs, including formats used in Fortran MCEGs, the formats established by the HepMC2 library, and binary formats such as ROOT; custom input or output handlers may also be used. HepMC3 is already supported by popular modern MCEGs and can replace the older HepMC versions in many others.
| Item Type: | Articles |
|---|---|
| Additional Information: | This work was supported in part by the European Union as part of the Marie Sklodowska-Curie Innovative Training Network MCnetITN3 (grant agreement no. 722104). AB thanks The Royal Society, UK for University Research Fellowship grant UF160548, and the University of Glasgow, UK for funding through the Leadership Fellow scheme. LL was supported in part by the Swedish Research Council, contract number 2016-03291. TP supported in part from funds of Polish National Science Centre under decisions DEC-2017/27/B/ST2/01391. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Buckley, Professor Andy |
| Authors: | Buckley, A., Ilten, P., Konstantinov, D., Lonnblad, L., and Monk, J. |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software Q Science > QC Physics |
| College/School: | College of Science and Engineering > School of Physics and Astronomy |
| Research Group: | Particle Physics Experiment |
| Journal Name: | Computer Physics Communications |
| Journal Abbr.: | Comp Phys Commun |
| Publisher: | Elsevier |
| ISSN: | 0010-4655 |
| ISSN (Online): | 1879-2944 |
| Published Online: | 13 April 2020 |
| Copyright Holders: | Copyright © 2020 Elsevier |
| First Published: | First published in Computer Physics Communications |
| Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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