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Topness, Version 1

RESOURCE

Publicly Accessible Repository
https://github.com/michaelgraesser/topness
https://doi.org/10.11578/dc.20171025.1854

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Abstract

The code would be used in analyses of data from the LHC, to improve the sensitivity of their experiments to new exotic particles. The software minimizes a certain function, as defined in the above reference, for some input provided by the user. The output to the user is the global minimum of that function. The code finds the global minimum using the Nelder-Mead algorithm. All the codes for the minimization including the Nelder-Mead algorithm, is written by the author. The software is written in c++.
Developers:
Graesser, Michael [1]
  1. LANL
Release Date:
2016-10-17
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Licenses:
Other (Commercial or Open-Source): https://github.com/michaelgraesser/topness/blob/master/LICENSE
Sponsoring Org.:
Code ID:
4759
Site Accession Number:
7221
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/michaelgraesser/topness
https://doi.org/10.11578/dc.20171025.1854

SAVE / SHARE



LANL Badge

Citation Formats

Graesser, Michael L. Topness, Version 1. Computer Software. https://github.com/michaelgraesser/topness. USDOE. 17 Oct. 2016. Web. doi:10.11578/dc.20171025.1854.
Graesser, Michael L. (2016, October 17). Topness, Version 1. [Computer software]. https://github.com/michaelgraesser/topness. https://doi.org/10.11578/dc.20171025.1854.
Graesser, Michael L. "Topness, Version 1." Computer software. October 17, 2016. https://github.com/michaelgraesser/topness. https://doi.org/10.11578/dc.20171025.1854.
@misc{ doecode_4759,
title = {Topness, Version 1},
author = {Graesser, Michael L.},
abstractNote = {The code would be used in analyses of data from the LHC, to improve the sensitivity of their experiments to new exotic particles. The software minimizes a certain function, as defined in the above reference, for some input provided by the user. The output to the user is the global minimum of that function. The code finds the global minimum using the Nelder-Mead algorithm. All the codes for the minimization including the Nelder-Mead algorithm, is written by the author. The software is written in c++.},
doi = {10.11578/dc.20171025.1854},
url = {https://doi.org/10.11578/dc.20171025.1854},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20171025.1854}},
year = {2016},
month = {oct}
}