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ezECM

RESOURCE

Publicly Accessible Repository
https://github.com/skoermer-LANL/ezECM
https://doi.org/10.11578/dc.20240517.4

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Abstract

Allows the user to fit a classical event categorization matrix (ECM) model, and a novel Bayesian event categorization matrix model, both of which are used for nuclear detonation detection.
Developers:
Release Date:
2024-04-25
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Licenses:
GNU General Public License v3.0
Sponsoring Org.:
Code ID:
127361
Site Accession Number:
O4721
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/skoermer-LANL/ezECM
https://doi.org/10.11578/dc.20240517.4

SAVE / SHARE



LANL Badge

Citation Formats

Koermer, Scott. ezECM. Computer Software. https://github.com/skoermer-LANL/ezECM. USDOE Laboratory Directed Research and Development (LDRD) Program. 25 Apr. 2024. Web. doi:10.11578/dc.20240517.4.
Koermer, Scott. (2024, April 25). ezECM. [Computer software]. https://github.com/skoermer-LANL/ezECM. https://doi.org/10.11578/dc.20240517.4.
Koermer, Scott. "ezECM." Computer software. April 25, 2024. https://github.com/skoermer-LANL/ezECM. https://doi.org/10.11578/dc.20240517.4.
@misc{ doecode_127361,
title = {ezECM},
author = {Koermer, Scott},
abstractNote = {Allows the user to fit a classical event categorization matrix (ECM) model, and a novel Bayesian event categorization matrix model, both of which are used for nuclear detonation detection.},
doi = {10.11578/dc.20240517.4},
url = {https://doi.org/10.11578/dc.20240517.4},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240517.4}},
year = {2024},
month = {apr}
}