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GPU Photon Transport Simulation Studies

GPU Photon Transport Simulation Studies. Mary Murphy Undergraduate, UW-Madison Dmitry Chirkin IceCube at UW-Madison Tareq AbuZayyad IceCube at UW-River Falls. Objectives. Comparison of i3mcml and ppc-gpu Check for muon and flasher simulation output agreement

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GPU Photon Transport Simulation Studies

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  1. GPU Photon Transport Simulation Studies Mary Murphy Undergraduate, UW-Madison Dmitry Chirkin IceCube at UW-Madison Tareq AbuZayyad IceCube at UW-River Falls

  2. Objectives • Comparison of i3mcml and ppc-gpu • Check for muon and flasher simulation output agreement • Compare performance with time trials • Test simulation parameters in ppc-gpu • Vary light yield, ice properties, muon track generator, sensitivity parameters, etc. to observe and analyze response

  3. Comparison of i3mcml and ppc-gpu Muon Simulation Run Time Comparison • Time trials run with same input f2k muons, same GPU device • In both simulations, subsequent versions reduced run time • Latest version of ppc-gpu is 123 times faster than CPU version

  4. Comparison of i3mcml and ppc-gpu Flasher Simulation Run Time Comparison • Time trials run flashing 1.e8 photons on dom 20, string 20 • Similar time trials run on different locations around detector to eliminate any variations due possibly to which dom is flashing

  5. Comparison of i3mcml and ppc-gpu DOM Occupancy plot for flasher run down string 83 Demonstrates strong agreement!

  6. Simulation parameters in ppc-gpu Comparison of Assembly and GPU versions of PPC

  7. Simulation parameters in ppc-gpu Cascade light yield parameterization • new M. Kowalski’s vs. older Ch. Wiebusch cascade parametrizations: up to 20% difference; same bare muon parametrization

  8. Simulation parameters in ppc-gpu Angular Sensitivity AHA ice properties bulk ice properties

  9. Simulation parameters in ppc-gpu Simulation parameters in ppc-gpu Angular Sensitivity Angular Sensitivity AHA ice properties bulk ice properties

  10. Simulation parameters in ppc-gpu Angular Sensitivity AHA ice properties bulk ice properties

  11. Simulation parameters in ppc-gpu Muon Track Generator

  12. COG distribution for MMC / CORSIKA muons after Simple Majority Triggering Multiplicity 8 applied

  13. Simulation parameters in ppc-gpu Muon Track Generator

  14. Simulation parameters in ppc-gpu OM Sensitivity

  15. The End Back-up slides follow.

  16. Output comparison of ppc-gpu and i3mcml

  17. MKOW (red) vs. old default (black) COG distribution

  18. DOM Occupancy with input CORSIKA muon bundles, in bulk and aha model ice

  19. COG distribution for various OM sensitivity levels

  20. COG distribution for various OM sensitivity levels, in bulk ice

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