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Codes for sub-resolution modeling of the apparent mass loss in quantitative broadband X-ray radiography

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/X-ray-Imaging-Apparent-Mass-Loss-Error
https://doi.org/10.11578/dc.20240909.6

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Abstract

SAND2022-3463 O This code is intended to accompany the journal manuscript, “Sub-resolution modeling of the apparent mass loss in quantitative broadband X-ray radiography." The manuscript covers in detail how to improve the quantitative mass distribution measurements made for optical diagnostics of multiphase flows. The code contains four separate script files in MATLAB format to support the objective of improving mass measurements. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
Developers:
Rahman, Naveed [1][2][3] ;  Halls, Benjamin [1][2][3]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Release Date:
2022-11-28
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
MATLAB
Version:
1.0
Licenses:
MIT License
Sponsoring Org.:
Code ID:
110707
Site Accession Number:
SCR #2768
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/X-ray-Imaging-Apparent-Mass-Loss-Error
https://doi.org/10.11578/dc.20240909.6

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Citation Formats

Rahman, Naveed, and Halls, Benjamin. Codes for sub-resolution modeling of the apparent mass loss in quantitative broadband X-ray radiography. Computer Software. https://github.com/sandialabs/X-ray-Imaging-Apparent-Mass-Loss-Error. USDOE. 28 Nov. 2022. Web. doi:10.11578/dc.20240909.6.
Rahman, Naveed, & Halls, Benjamin. (2022, November 28). Codes for sub-resolution modeling of the apparent mass loss in quantitative broadband X-ray radiography. [Computer software]. https://github.com/sandialabs/X-ray-Imaging-Apparent-Mass-Loss-Error. https://doi.org/10.11578/dc.20240909.6.
Rahman, Naveed, and Halls, Benjamin. "Codes for sub-resolution modeling of the apparent mass loss in quantitative broadband X-ray radiography." Computer software. November 28, 2022. https://github.com/sandialabs/X-ray-Imaging-Apparent-Mass-Loss-Error. https://doi.org/10.11578/dc.20240909.6.
@misc{ doecode_110707,
title = {Codes for sub-resolution modeling of the apparent mass loss in quantitative broadband X-ray radiography},
author = {Rahman, Naveed and Halls, Benjamin},
abstractNote = {SAND2022-3463 O This code is intended to accompany the journal manuscript, “Sub-resolution modeling of the apparent mass loss in quantitative broadband X-ray radiography." The manuscript covers in detail how to improve the quantitative mass distribution measurements made for optical diagnostics of multiphase flows. The code contains four separate script files in MATLAB format to support the objective of improving mass measurements. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.},
doi = {10.11578/dc.20240909.6},
url = {https://doi.org/10.11578/dc.20240909.6},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240909.6}},
year = {2022},
month = {nov}
}