Abstract
A new format for storing particle information (i.e., mass, spin, parity) has been developed.
The format is a subset of the Generalized Nuclear Data Structure (GNDS) developed for storing nuclear reaction data.
A C++ library dubbed "Property of Particles" (PoPs) has been developed to read particle data in the GNDS
format.
The PoPs library provides functions for reading in a GNDS particle database as well as for accessing a particle and its properties.
- Developers:
-
Beck, Bret [1]
- Lawrence Livermore National Laboratory
- Release Date:
- 2019-02-25
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
C++
- Version:
- 3.0
- Licenses:
-
MIT License
- Sponsoring Org.:
-
USDOE National Nuclear Security Administration (NNSA)Primary Award/Contract Number:AC52-07NA27344
- Code ID:
- 27822
- Site Accession Number:
- LLNL-CODE-770377
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Country of Origin:
- United States
Citation Formats
Beck, Bret.
PoPsCpp.
Computer Software.
https://github.com/LLNL/gidiplus.
USDOE National Nuclear Security Administration (NNSA).
25 Feb. 2019.
Web.
doi:10.11578/dc.20190715.9.
Beck, Bret.
(2019, February 25).
PoPsCpp.
[Computer software].
https://github.com/LLNL/gidiplus.
https://doi.org/10.11578/dc.20190715.9.
Beck, Bret.
"PoPsCpp." Computer software.
February 25, 2019.
https://github.com/LLNL/gidiplus.
https://doi.org/10.11578/dc.20190715.9.
@misc{
doecode_27822,
title = {PoPsCpp},
author = {Beck, Bret},
abstractNote = {A new format for storing particle information (i.e., mass, spin, parity) has been developed.
The format is a subset of the Generalized Nuclear Data Structure (GNDS) developed for storing nuclear reaction data.
A C++ library dubbed "Property of Particles" (PoPs) has been developed to read particle data in the GNDS
format.
The PoPs library provides functions for reading in a GNDS particle database as well as for accessing a particle and its properties.},
doi = {10.11578/dc.20190715.9},
url = {https://doi.org/10.11578/dc.20190715.9},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20190715.9}},
year = {2019},
month = {feb}
}