PHYSTAT-nu 2019

Session

Contributed talks session

25 Jan 2019, 11:40

CERN

90. Machine Learning methods for JUNO Experiment

Yu Xu

25/01/2019, 11:40

91. Simulating Light in Large Volume Detectors Using Metropolis Light Transport

Gabriel Collin

25/01/2019, 11:55

92. A GPU-based framework for multi-variate analysis in particle physics

Xuefeng Ding (Gran Sasso Science Insitute (INFN)), Xuefeng Ding (INFN - National Institute for Nuclear Physics)

25/01/2019, 12:10

93. Efficient Neutrino Oscillation Parameter Inference with Gaussian Processes

Bannanje Nitish Nayak (University of California Irvine (US))

25/01/2019, 14:00

94. Reflections on the 20th year of Feldman-Cousins: Hypothesis testing of a point null vs a continuous alternative

Robert Cousins Jr (University of California Los Angeles (US)), Robert Cousins Jr (University of California Los Angeles (US))

25/01/2019, 14:25

74. Simulating Light in Large Volume Detectors Using Metropolis Light Transport

Gabriel Collin

In gigaton scale neutrino detectors, such as the IceCube experiment, interaction products are detected by the Cherenkov radiation emitted by their passage through the detector medium. Simulating this propagation of light is traditionally approached through ray tracing. This is complicated by the sparsity of the detector: the vast majority of light rays are scattered and absorbed by the...