1. Validation of inner shell ionization cross sections for electron transport Sung Hun, Kim Nuclear Engineering, Hanyang University, Seoul, Republic of Korea

2. 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

3. Related, optimization of parameters used in cross section calculations Best Student Paper Award, Monte Carlo 2010 Visitor with CERN/PH/SFT, 2009

4. Precision modeling of electron impact ionisation Dosimetry Microdosimetry Radiation damage Scintillation Detectors Energy deposition Elemental analysis XRF and AES Isolated Atom Approximation Independent Particle Approximation Experimental applications Quantitative estimate of the accuracy of transport input parameters Monte Carlo simulation R&D Foundation of electromagnetic transport Uncertainty quantification Validation Establish the state-of-the-art in modeling electron impact ionisation Provide objective guidance to experimental users of Geant4

5. Validation of inner shell ionization cross sections for electron transport

6. 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

7. Experimental data

8. Software design UML class diagram Policy-based class design (A. Alexandrescu, Modern C++ design, Addison-Wesley, 2001) Atomic parameters domain: functional, design iteration foreseen Data management domain: functional, improved design exists, migration foreseen Produced with

9. Results

15. Statistical data analysis Goodness-of-fit tests to determine the compatibility of each model with experimental data –  2 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  2 test (if applicable) –  2 test with Yates’ continuity correction (if necessary)

16. Efficiency Fraction of test cases that “pass” the  2 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:  = 0.01 p-value ≥   Pass p-value <   Fail Test significance:  = 0.01 p-value ≥   Pass p-value <   Fail

17. Preliminary results of categorical analysis 138169 136105 Fisher 0.0098 Pearson  2 0.0076 Barnard 0.0079 2333 2011 68 74 Fisher 0.0453 Pearson  2 0.0362 Barnard 0.0383 Fisher 0.4283 Barnard 0.3519 K shell L shell M shell 0.01 significance 0.05 significance Small data sample Study of systematics in progress EEDL Bote Pass Fail Test p-value

18. Conclusion & Impact Total Ionization Cross section Inner-shell Ionization Cross sections New Electron Data Library

19. Q&A Thank you.