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Physics methods for the simulation of photoionisation

Physics methods for the simulation of photoionisation. T. Basaglia 1 , M. Batic 2 , M. C. Han 3 , G. Hoff 4 , C. H. Kim 3 , H. S. Kim 3 , M. G. Pia 5 , P . Saracco 5 1 CERN 2 Sinergise , Ljubljana, Slovenia 3 Hanyang University, Seoul, Korea

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Physics methods for the simulation of photoionisation

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  1. Physics methods for the simulation of photoionisation T. Basaglia1, M. Batic2, M. C. Han3, G. Hoff4, C. H. Kim3, H. S. Kim3, M. G. Pia5, P. Saracco5 1CERN 2Sinergise, Ljubljana, Slovenia 3Hanyang University, Seoul, Korea 4Pontificia UniversidadeCatolicado Rio Grande do Sul, Porto Alegre, Brazil 5INFN Genova, Italy IEEE NSS 2013 27 October – 2 November 2013 Seoul, Korea

  2. What is validation • What is verification • Why does it matter in experimental practice • What is not validation • Compare Monte Carlo codes • Compare with theory • Statistical methods and visual appraisal • Validation of ingredients • Validation of models • Epistemic uncertainties • Validation of use cases • Validity outside the range of validation

  3. Validation of MC codes • Little documentation in the literature • Some informal documentation (reports, manuals, web sites) • Results reported by users • Most qualitative • Is the user validated? • Geant4 validation • Ingredients • Statistical methods: GoF + categorical analysis • Use cases • Epistemic uncertainties • Negative improvements • Geant4 citations

  4. Photons • Electrons • Atomic parameters and their effects • Hadronic physics • Nanoscale • Vapour and liquid water • Akkerman: discrete transport scheme and energy deposition in condensed scheme • Experimental results • Outlook

  5. Rationale • The simulation of the photoelectric effect is well-established in general-purpose Monte Carlo codes • …but hardly any quantitative validation of their physics modeling “ingredients” is documented in the literature • Recent theoretical calculations and parameterisations • Are they more accurate than old favourites? • New trends towards simulation at the eV scale • Micro-/nanodosimetry: FLUKA, Geant4-DNA, MOCA, OREC/NOREC, PARTRAC, Penelope, PTB-code, Trion etc. Project to validate quantitatively a wide set of simulation modeling options against a large collection of experimental data State-of-the-artsimulation of photon interactions Elastic scattering: published; Compton scattering and pair production: first results

  6. Photoionisation in Monte Carlo codes

  7. Photoionisation in Geant4 9.6 • Packages • lowenergy • polarisation • standard • utils Em process same as incident g Sauter-Gavrila Penelope 2008 EPDL97 Sauter-Gavrila Biggs-Lighthill Em models polarized EPDL97 Livermore EPDL97 polarized Base class for atomic deexcitation

  8. Strategy • Evaluate a large number of available modeling options • Suitable for use in Monte Carlo simulation codes • Tabulated theoretical calculations • Simple analytical formulations, with documented parameters • All options evaluated in the same computational environment • Minimize dependencies on other software parts (not always components) • Quantitative, objective evaluation based on statistical methods • Establish state-of-the-art for the simulation of photoionisation on objective ground • Computational performance measured along with physical accuracy • 1st development cycle • Focus on simulation with non-polarised photons

  9. Experimental data • Collected from the literature • Total cross sections • Partial cross sections • Angular distributions • Data types • Pure experimental cross sections: direct measurements • Semi-empirical cross sections: involve theoretical manipulations • e.g. subtraction of calculated scattering contribution (Compton and elastic) • Format • Tables, text • Figures: digitized, digitization error estimated • Evaluation of experimental data • Systematic effects: identified whenever possible • Outliers > 150 references > 5000 data points ~ 3700 stotal ~ 1400 sshell

  10. Systematic effect? Difference between calculated and “experimental” total cross sections, expressed in terms of number of standard deviations: pure experimental and semi-empirical data Only pure experimental data used in the validation process

  11. Computational environment Streamlined software design consistent with Geant4 kernel Sharp domain decomposition Clearly identified responsibilities No duplication of code nor of functionality Policy-based class design (à la Alexandrescu, Modern C++ design, 2001) • minimize dependencies • lightweight unit tests for validation

  12. Data analysis method • Two-stage statistical analysis • Compatibility of each cross section calculation method with experiment • Comparison of compatibility with experiment across modeling categories • Quantitative appraisal of capabilities and differences Compatibility with experiment Difference across categories Goodness-of-fit test c2 test a = 0.01 Contingency tables Fisher exact test Barnard test c2 test a = 0.05 • ≥ 0.01 • < 0.01 pass fail Npass Ntest cases efficiency = as appropriate

  13. Cross section sources Different methods and calculations e.g. Chantler’s exchange potential in his DHF calculation is different from Scofield’s

  14. Cross sections Two types: Tabulated Analytical parameterisations Associated data library with tabulated cross sections Analytical cross section calculations

  15. Total cross sections O H Fe • Most calculation methods exhibit similar compatibility with experiment for E >250 eV • Chantler, Brennan-Cowan look worse • Degraded accuracy below 250 eV preliminary

  16. Shell cross sections Calculated inner shell cross sections compatible with experiment M4 K Outer shell cross sections inconsistent with experimental data Beware: small data sample, limited data sources p-value c2 test O1 L3 Systematic effect observed with RTAB shell cross sections (presumably a missing factor in the calculation)

  17. Qualitative appraisal Limited experimental sample Experimental systematic effects (corrected/uncorrected data) Angular distribution Option à la GEANT 3 (Sauter) evaluated along with other Geant4 options

  18. Conclusion • Large scale effort to evaluate quantitatively physics methods for photoionisation simulation • Part of a wider project for quantitative assessment of state-of-the-art simulation of photon interactions • Total cross section • Most calculation methods exhibit similar behaviour • More recent calculations (Chantler, Brennan-Cowan) do not appear more accurate than old Scofield’s 1973 (unrenormalized) • Inner shells • EPDL, (corrected) RTAB appear equivalent, Ebel’sparameterisation inconsistent with experimental K shell data • Outer shells • No calculation method appears adequate to reproduce experimental data • Photoelectron angular distribution • Scarce data and experimental systematics prevent a quantitative discrimination All results will be documented in detail in a forthcoming publication

  19. Hansung Kim Photo …a big THANK YOU to the CERN Library!

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