bem: modeling for neutron Bragg-edge imaging
Abstract
Due to its zero net charge, neutron is a unique probe of materials. Low neutron absorption and scattering cross sections by most nuclei make it suitable for studying bulk samples. Unlike X-ray scattering, neutron form factors are not monotonically dependent on atomic numbers; the fact that the neutron scattering cross section of hydrogen is large makes neutron a useful tool in biology. In the past half century, neutron imaging has seen growing applications in various scientific fields including physics, engineering sciences, biology, and archaeology (Strobl et al., 2009).With energy-resolved neutron imaging techniques, neutron Bragg-edge imaging has recently found applications for materials science in phase mapping, stress/strain mapping, and texture analysis (Josic, Steuwer, & Lehmann, 2010, Sato (2017)). To model Braggedge neutron imaging data, it is necessary to calculate the total neutron cross section of a sample. This open-source python package provides easy-to-use functions to calculate coherent elastic (diffraction), incoherent elastic, coherent inelastic, and incoherent inelastic scattering cross sections, as well as absorption cross sections based on approximations and formulas in (Vogel, 2000). Also implemented are algorithms that take into account the March-Dollase texture model, and the Jorgensen peak profile (Vogel, 2000).
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1558489
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Journal of Open Source Software
- Additional Journal Information:
- Journal Volume: 3; Journal Issue: 30; Journal ID: ISSN 2475-9066
- Publisher:
- Open Source Initiative - NumFOCUS; Copyright - Open Journals
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Lin, Jiao, and Song, Gian. bem: modeling for neutron Bragg-edge imaging. United States: N. p., 2018.
Web. doi:10.21105/joss.00973.
Lin, Jiao, & Song, Gian. bem: modeling for neutron Bragg-edge imaging. United States. https://doi.org/10.21105/joss.00973
Lin, Jiao, and Song, Gian. 2018.
"bem: modeling for neutron Bragg-edge imaging". United States. https://doi.org/10.21105/joss.00973. https://www.osti.gov/servlets/purl/1558489.
@article{osti_1558489,
title = {bem: modeling for neutron Bragg-edge imaging},
author = {Lin, Jiao and Song, Gian},
abstractNote = {Due to its zero net charge, neutron is a unique probe of materials. Low neutron absorption and scattering cross sections by most nuclei make it suitable for studying bulk samples. Unlike X-ray scattering, neutron form factors are not monotonically dependent on atomic numbers; the fact that the neutron scattering cross section of hydrogen is large makes neutron a useful tool in biology. In the past half century, neutron imaging has seen growing applications in various scientific fields including physics, engineering sciences, biology, and archaeology (Strobl et al., 2009).With energy-resolved neutron imaging techniques, neutron Bragg-edge imaging has recently found applications for materials science in phase mapping, stress/strain mapping, and texture analysis (Josic, Steuwer, & Lehmann, 2010, Sato (2017)). To model Braggedge neutron imaging data, it is necessary to calculate the total neutron cross section of a sample. This open-source python package provides easy-to-use functions to calculate coherent elastic (diffraction), incoherent elastic, coherent inelastic, and incoherent inelastic scattering cross sections, as well as absorption cross sections based on approximations and formulas in (Vogel, 2000). Also implemented are algorithms that take into account the March-Dollase texture model, and the Jorgensen peak profile (Vogel, 2000).},
doi = {10.21105/joss.00973},
url = {https://www.osti.gov/biblio/1558489},
journal = {Journal of Open Source Software},
issn = {2475-9066},
number = 30,
volume = 3,
place = {United States},
year = {Mon Oct 01 00:00:00 EDT 2018},
month = {Mon Oct 01 00:00:00 EDT 2018}
}
Works referenced in this record:
Energy selective neutron radiography in material research
journal, March 2010
- Josic, Lidija; Steuwer, A.; Lehmann, E.
- Applied Physics A, Vol. 99, Issue 3
Deriving Quantitative Crystallographic Information from the Wavelength-Resolved Neutron Transmission Analysis Performed in Imaging Mode
journal, December 2017
- Sato, Hirotaka
- Journal of Imaging, Vol. 4, Issue 1
Advances in neutron radiography and tomography
journal, November 2009
- Strobl, M.; Manke, I.; Kardjilov, N.
- Journal of Physics D: Applied Physics, Vol. 42, Issue 24