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Validation of Cross Sections for Monte Carlo Simulation of the Photoelectric Effect
- Source :
- IEEE Transactions on Nuclear Science. 63:1117-1146
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- Several total and partial photoionization cross section calculations, based on both theoretical and empirical approaches, are quantitatively evaluated with statistical analyses using a large collection of experimental data retrieved from the literature to identify the state of the art for modeling the photoelectric effect in Monte Carlo particle transport. Some of the examined cross section models are available in general purpose Monte Carlo systems, while others have been implemented and subjected to validation tests for the first time to estimate whether they could improve the accuracy of particle transport codes. The validation process identifies Scofield's 1973 non-relativistic calculations, tabulated in the Evaluated Photon Data Library(EPDL), as the one best reproducing experimental measurements of total cross sections. Specialized total cross section models, some of which derive from more recent calculations, do not provide significant improvements. Scofield's non-relativistic calculations are not surpassed regarding the compatibility with experiment of K and L shell photoionization cross sections either, although in a few test cases Ebel's parameterization produces more accurate results close to absorption edges. Modifications to Biggs and Lighthill's parameterization implemented in Geant4 significantly reduce the accuracy of total cross sections at low energies with respect to its original formulation. The scarcity of suitable experimental data hinders a similar extensive analysis for the simulation of the photoelectron angular distribution, which is limited to a qualitative appraisal.<br />To be published in IEEE Trans. Nucl. Sci
- Subjects :
- Nuclear and High Energy Physics
Photon
010308 nuclear & particles physics
Monte Carlo method
Other Fields of Physics
FOS: Physical sciences
Experimental data
Probability and statistics
Photoionization
Computational Physics (physics.comp-ph)
01 natural sciences
L-shell
Computational physics
Test case
Nuclear Energy and Engineering
Physics - Data Analysis, Statistics and Probability
Ionization
0103 physical sciences
Electrical and Electronic Engineering
010306 general physics
Physics - Computational Physics
Data Analysis, Statistics and Probability (physics.data-an)
Mathematics
Subjects
Details
- ISSN :
- 15581578 and 00189499
- Volume :
- 63
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Nuclear Science
- Accession number :
- edsair.doi.dedup.....a4f0cfa5b1f832d446274b63aef1f086
- Full Text :
- https://doi.org/10.1109/tns.2016.2521876