报告题目：Opticks : Optical Photon Simulation for Particle Physics using GPU Accelerated Ray Tracing, Focussing on Tools and Techniques

报 告 人：Dr. Simon Blyth

National Taiwan University

邀 请 人：黄性涛 教授

报告时间：2018年9月20日(周四) 16点

报告地点：青岛校区N7 122报告厅

报告摘要：

A detailed understanding of the generation and propagation of optical photons is vital to the design, operation and analysis of photomultiplier based neutrino detectors such as JUNO. Detailed detector simulations handling many millions of optical photons per interaction are needed to develop the understanding required to make precision measurements. Traditional serial approaches using the Geant4 simulation toolkit suffer from an optical photon simulation problem where photon handling provides a processing bottleneck and constitutes a CPU memory resource limitation.

I will present Opticks, an open source project that solves the optical photon simulation problem by replacing the Geant4 optical photon simulation with an equivalent massively parallel GPU simulation implemented using the NVIDIA OptiX ray tracing engine. Optical photon simulation performance with Opticks is extrapolated to exceed 1000x Geant4 with workstation GPU machines. Optical photon processing time becomes effectively zero and CPU memory constraints from the optical photons are eliminated.

In order to provide directly actionable information my presentation covers techniques such as Monte Carlo sampling and gives examples of the use of data science tools such as NumPy, CUDA and Thrust.

报告人简介：

Simon Blyth received his D.Phil degree from Oxford University working on the DELPHI experiment at CERN on radiative muon decays. He continued at LEP on the L3 experiment as a Research Associate with Carnegie Mellon based at CERN, making the best L3 measurement of the forward-backward asymmetry of b quarks as well as managing the L3 luminosity detector and analysis. In 2002 he joined the Belle group at the National Taiwan University measuring six color suppressed B meson decay branching fractions. Subsequently he transitioned to the Daya Bay experiment, with National United University in Taiwan working on database management and software infrastructure development vital to Daya Bay. Returning to National Taiwan University in 2013 as a postdoctoral associate he set himself the goal of solving the optical photon simulation problem faced by PMT based experiments using an innovative GPU based approach.