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PHYSTAT-nu 2019

Jan 22 – 25, 2019
CERN
Europe/Zurich timezone

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Session

Contributed talks session

Jan 25, 2019, 11:40 AM
CERN

CERN

Tuesday 22nd 1:30-4pm : Course - TH Auditorium (4-3-006) Tuesday 22nd 5pm: Bayesian Techniques - Filtration Plant (222-R-001) Wed 23rd: Filtration plant (222-R-001) Thurs 24th: Filtration plant (222-R-001) Friday 25th: Council Chamber (503-1-001)

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  1. 90. Machine Learning methods for JUNO Experiment
    Yu Xu
    1/25/19, 11:40 AM
  2. 91. Simulating Light in Large Volume Detectors Using Metropolis Light Transport
    Gabriel Collin
    1/25/19, 11:55 AM
  3. 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)
    1/25/19, 12:10 PM
  4. 93. Efficient Neutrino Oscillation Parameter Inference with Gaussian Processes
    Bannanje Nitish Nayak (University of California Irvine (US))
    1/25/19, 2:00 PM
  5. 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))
    1/25/19, 2:25 PM
  6. 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...

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