Table of Contents
HepSim manual
HepSim is a public repository with Monte Carlo simulated events for high-energy physics (HEP) experiments. The HepSim 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) with the goal to create references to truth-level MC records for current and future experiments. Event data samples are created using:
- BlueGene/Q supercomputer of the Argonne Leadership Computing Facility (BG@HepLib library)
- OSG (Open Science Grid) Connect (“FutureColliders” project).
- ATLAS Connect virtual cluster service (“ATLAS CI” project)
- Argonne’s Laboratory Computing Resource Center (LCRC) (“HepSim” project)
- ATLAS Analysis support (ASC) cluster at HEP/ANL
The file storage is provided by:
- STASH2 storage at OSG CI Connect
- FAXBOX storage at ATLAS Connect
- MC.HEP server at ASC ANL
This repository was created following the guidelines and principles of the DOE Public Access Plan for unclassified and otherwise unrestricted scientific data in digital formats.
For HepSim users
If you are a HepSim user, start from here.
Physics and detector studies
Here are several links to extending this Wiki for particular detector-performance topics:
- FCC-hh detector studies - explains how to analyses data for FCC-hh detector studies
- SID detector studies - explains how to analyses data for the SiD detector (ILC)
- CEPC detector studies - shows some results with full simulations for CEPC
- EIC detector studies - shows some results with full simulations for EIC
- HCAL studies explains how to analyse ROOT data after fast detector simulations used for FCC studies
For developers
If you plan to contribute to HepSim (Monte Carlo events, data storage etc), start from here:
Public results and contributions
Public results
Contributions
How to cite
If you use HepSim event samples, Python/Jython analysis scripts and output XML files in your research, talks or publications, please cite this project as:
S.V. Chekanov. HepSim: a repository with predictions for high-energy physics experiments. Advances in High Energy Physics, vol. 2015, ID136093, 2015. arXiv:1403.1886 and link.
Acknowledgement
The current 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.
— Sergei Chekanov 2016/04/29 16:24