HepSim is a public repository with Monte Carlo simulations for particle-collision experiments.
It contains predictions from leading-order (LO) parton shower models, next-to-leading order (NLO) and NLO with matched parton showers.
It also includes Monte Carlo events after fast ("parametric") and full (Geant4) detector simulations and event reconstruction.
The HepSim Monte Carlo event repository was started at ANL during the US long-term planning study of the American Physical Society’s Division of Particles and Fields (Snowmass 2013).
HepSim contains event samples for physics and detector-performance studies
for High-Luminosity LHC (HL-LHC), International Linear Collider (ILC), Very Large Hadron Collider (VLHC), Future Circular Collider (FCC-ee and FCC-hh),
Compact Linear Collider (CLIC), Circular Electron-Positron Collider (CEPC), Electron-Ion Collider (EIC) and other future particle colliders.
Event samples of the HepSim repository were created using:
The file storage is provided by:
HepSim Monte Carlo samples are registered by the U.S. Department of Energy
Office of Scientific and Technical Information,
Each event sample is assigned to a DOI (Digital Object Identifier) number as listed on the ANL-HEPSIM OSTI.GOV
The assigned DOI numbers are also indicated on the HepSim information panel for datasets.
HepSim was designed following
the guidelines and principles of
DOE Public Access Plan
for unclassified and otherwise unrestricted scientific data in digital formats.
A number of people listened here
have contributed to this project.
If you are interested in developing HepSim software packages, as a part of internship at HEP/ANL, please contact hepsim[AT]anl.gov.
Articles and talks based on HepSim
HepSim Monte Carlo events samples were used in a number of studies
How to cite
The original paper for this project is:
S.V.Chekanov. "HepSim: a repository with predictions for high-energy physics experiments",
Advances in High Energy Physics, vol. 2015, Article ID 136093, (2015).
Truth-level (EVGEN) Monte Carlo samples are stored in highly compressed,
platform-neutral binary files called ProMC
(see the ProMC project web page
This work is supported UChicago Argonne, LLC,
Operator of Argonne National Laboratory (``Argonne'').
Argonne, a U.S. Department of Energy Office of Science laboratory,
is operated under Contract No. DE-AC02-06CH11357.
This research used resources of the Argonne Leadership Computing Facility at Argonne
National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under contract DE-AC02-06CH11357.
This research also used resources of the National Energy Research
Scientific Computing Center, a DOE Office of Science User Facility
supported by the Office of Science of the U.S. Department of Energy
under Contract No. DE-AC02-05CH11231.