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Celeritas

RESOURCE

Publicly Accessible Repository
https://github.com/celeritas-project/celeritas
https://doi.org/10.11578/dc.20221011.1
Documentation
https://celeritas.readthedocs.io/en/latest

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Abstract

Celeritas is a new Monte Carlo transport code designed for high-performance simulation of high-energy physics detectors.
Developers:
Johnson, Seth R. [1] ;  Lund, Amanda [2] ;  Jun, Soon Yung [3] ;  Tognini, Stefano [1] ;  Lima, Guilherme [3] ;  Romano, Paul [2] ;  Canal, Philippe [3] ;  Morgan, Ben [4] ;  Evans, Tom [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
  3. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  4. University of Warwick
Contributors:
Other: Pascuzzi, Vincent R [1] ;  Deeb, Doaa
  1. Brookhaven National Lab. (BNL), Upton, NY (United States)
Release Date:
2022-07-31
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
C++
CUDA
Licenses:
Apache License 2.0
MIT License
Sponsoring Org.:
Code ID:
94866
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/celeritas-project/celeritas
https://doi.org/10.11578/dc.20221011.1
Documentation
https://celeritas.readthedocs.io/en/latest

SAVE / SHARE



ORNL Badge

Citation Formats

Johnson, Seth R., Lund, Amanda, Jun, Soon Yung, Tognini, Stefano, Lima, Guilherme, Romano, Paul, Canal, Philippe, Morgan, Ben, Evans, Tom, Pascuzzi, Vincent R, and Deeb, Doaa. Celeritas. Computer Software. https://github.com/celeritas-project/celeritas. USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). Scientific Discovery through Advanced Computing (SciDAC). 31 Jul. 2022. Web. doi:10.11578/dc.20221011.1.
Johnson, Seth R., Lund, Amanda, Jun, Soon Yung, Tognini, Stefano, Lima, Guilherme, Romano, Paul, Canal, Philippe, Morgan, Ben, Evans, Tom, Pascuzzi, Vincent R, & Deeb, Doaa. (2022, July 31). Celeritas. [Computer software]. https://github.com/celeritas-project/celeritas. https://doi.org/10.11578/dc.20221011.1.
Johnson, Seth R., Lund, Amanda, Jun, Soon Yung, Tognini, Stefano, Lima, Guilherme, Romano, Paul, Canal, Philippe, Morgan, Ben, Evans, Tom, Pascuzzi, Vincent R, and Deeb, Doaa. "Celeritas." Computer software. July 31, 2022. https://github.com/celeritas-project/celeritas. https://doi.org/10.11578/dc.20221011.1.
@misc{ doecode_94866,
title = {Celeritas},
author = {Johnson, Seth R. and Lund, Amanda and Jun, Soon Yung and Tognini, Stefano and Lima, Guilherme and Romano, Paul and Canal, Philippe and Morgan, Ben and Evans, Tom and Pascuzzi, Vincent R and Deeb, Doaa},
abstractNote = {Celeritas is a new Monte Carlo transport code designed for high-performance simulation of high-energy physics detectors.},
doi = {10.11578/dc.20221011.1},
url = {https://doi.org/10.11578/dc.20221011.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20221011.1}},
year = {2022},
month = {jul}
}