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Validation of inner shell ionization cross sections for
electron transport
Sung Hun, Kim
Nuclear Engineering, Hanyang University, Seoul, Republic of Korea
Chan Hyeong, Kim
-Chairman of subdivision, International Commission on Radiological Protection(ICRP), 2013-present-Assistant/Associate/Full Professor, Hanyang University, Seoul, Korea, 2003-present- Visiting Scholar, University of Florida, Gainesville, Florida, 2009-2010- Assistant Professor, Rensselaer Polytechnic Institute (RPI), Troy, New York, 2001-2003- Assistant Director, TAMU Nuclear Science Center, College Station, Texas, 1998-2001- Researcher & Senior Researcher, Korea Institute of Nuclear Safety, Seoul, Korea, 1988-1995
Related, optimization of parameters used in cross section calculations
Best Student Paper Award, Monte Carlo 2010Visitor with CERN/PH/SFT, 2009
Precision modeling of
electron impact ionisation
DosimetryMicrodosimetryRadiation damageScintillationDetectors
Energy deposition
Elemental analysisXRF and AES
Isolated Atom ApproximationIndependent Particle Approximation
Experimental applications
Quantitative estimate of the accuracy of transport input
parameters
Monte Carlo simulation
R&D
Foundation of electromagnetic transport
Uncertainty quantification
ValidationEstablish the state-of-the-art in
modeling electron impact ionisation Provide objective guidance to experimental users of Geant4
Validation of inner shell ionization cross sections for
electron transport
Theoretical Models
• EEDL in Geant4 (1991)
• BEB• DM• Bote et al. (up to 1 GeV)
Specialized for low energies
Explore models not yet available in Geant4
Experimental data
0
500
1000
1500
2000
2500
3000
3500
4000
2619
633
128 69
3449
Number of dataNumber of data
Software designUML class diagram
Policy-based class design (A. Alexandrescu, Modern C++ design, Addison-Wesley, 2001)
Atomic parameters domain: functional, design iteration foreseenData management domain: functional, improved design exists, migration foreseen
Produced with
Results
Results
Results
Results
Results
Results
Statistical data analysis
• Goodness-of-fit tests to determine the compatibility of each model with experimental data– c2 test
• Categorical analysis to determine if the differences in compatibility with experiment of the various models are statistically significant– Fisher’s exact test– Barnard’s test– Pearson’s c2 test (if applicable)– c2 test with Yates’ continuity correction (if necessary)
EfficiencyFraction of test cases that “pass” the c2 test
BEB and DM models are intended for low energies (<10 keV); here they are stretched beyond their nominal range to investigate their actual capabilities
EEDL and Bote models appear the most efficient at reproducing measurements
Test significance: a=0.01p-value ≥ a Passp-value < a Fail
Preliminary results of categorical analysis
138 169
136 105
Fisher 0.0098Pearson c2 0.0076Barnard 0.0079
23 33
20 11
6 8
7 4
Fisher 0.0453Pearson c2 0.0362Barnard 0.0383
Fisher 0.4283Barnard 0.3519
K shell
L shell
M shell
0.01 significance
0.05 significance
Small data sample
Study of systematics in progress
EEDL Bote
PassFail
Test p-value
Conclusion & Impact
Total Ionization Cross section
Inner-shell Ionization Cross
sections
New Electron Data Library
Q&A
• Thank you.