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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 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 • 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
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
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
Comparison of i3mcml and ppc-gpu DOM Occupancy plot for flasher run down string 83 Demonstrates strong agreement!
Simulation parameters in ppc-gpu Comparison of Assembly and GPU versions of PPC
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
Simulation parameters in ppc-gpu Angular Sensitivity AHA ice properties bulk ice properties
Simulation parameters in ppc-gpu Simulation parameters in ppc-gpu Angular Sensitivity Angular Sensitivity AHA ice properties bulk ice properties
Simulation parameters in ppc-gpu Angular Sensitivity AHA ice properties bulk ice properties
Simulation parameters in ppc-gpu Muon Track Generator
COG distribution for MMC / CORSIKA muons after Simple Majority Triggering Multiplicity 8 applied
Simulation parameters in ppc-gpu Muon Track Generator
Simulation parameters in ppc-gpu OM Sensitivity
The End Back-up slides follow.
DOM Occupancy with input CORSIKA muon bundles, in bulk and aha model ice
COG distribution for various OM sensitivity levels, in bulk ice