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Title: A tale of two tools: mcres.py, a stochastic resonance generator, and grokres.py, a resonance quality assurance tool

Abstract

We detail two software tools, now integrated into the fudge code system. The first tool, mcres.py, can be used to generate stochastic ensembles of resonances which are both consistent with the expectations of the Gaussian Orthogonal Ensemble of Random Matrix Theory and with the level densities and widths encoded in ENDF formatted files. The second tool, grokres.py, can be used to assess global and local features of sequences of resonances found in ENDF files and make comparisons to known results from Random Matrix Theory. We apply these tools to 54 Fe and other nuclei.

Authors:
 [1]
  1. Brookhaven National Laboratory (BNL), Upton, NY (United States)
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Nuclear Physics (NP) (SC-26)
OSTI Identifier:
1478482
Report Number(s):
BNL-209313-2018-INRE
TRN: US1902637
DOE Contract Number:  
SC0012704
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS

Citation Formats

Brown, David A. A tale of two tools: mcres.py, a stochastic resonance generator, and grokres.py, a resonance quality assurance tool. United States: N. p., 2018. Web. doi:10.2172/1478482.
Brown, David A. A tale of two tools: mcres.py, a stochastic resonance generator, and grokres.py, a resonance quality assurance tool. United States. doi:10.2172/1478482.
Brown, David A. Fri . "A tale of two tools: mcres.py, a stochastic resonance generator, and grokres.py, a resonance quality assurance tool". United States. doi:10.2172/1478482. https://www.osti.gov/servlets/purl/1478482.
@article{osti_1478482,
title = {A tale of two tools: mcres.py, a stochastic resonance generator, and grokres.py, a resonance quality assurance tool},
author = {Brown, David A.},
abstractNote = {We detail two software tools, now integrated into the fudge code system. The first tool, mcres.py, can be used to generate stochastic ensembles of resonances which are both consistent with the expectations of the Gaussian Orthogonal Ensemble of Random Matrix Theory and with the level densities and widths encoded in ENDF formatted files. The second tool, grokres.py, can be used to assess global and local features of sequences of resonances found in ENDF files and make comparisons to known results from Random Matrix Theory. We apply these tools to 54 Fe and other nuclei.},
doi = {10.2172/1478482},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {10}
}