Neutrino Physics and Machine Learning (NPML): Lightning Talks

Session

Day 2: Afternoon

19 Jun 2020, 13:00

Conveners

Day 2: Afternoon: Lightning Talks

• Patrick de Perio (TRIUMF)
• Nick Prouse (TRIUMF)

Day 2: Afternoon: Closing

• There are no conveners in this block

22. Reconstructing 3D charge positions in LArTPCs using a CNN

Ralitsa Sharankova (Tufts University)

19/06/2020, 13:00

MicroBooNE is a short baseline neutrino experiment at Fermilab aimed at measuring neutrino-argon cross-sections and probing for sterile neutrinos. The detector is a 85t Liquid Argon Time Projection Chamber (LArTPC) with three readout planes, each of which records charge depositions as 2D images of channel position versus time. We present a new deep learning method for reconstructing the 3D...

6. Efficient neutrino oscillation parameter inference using Gaussian processes

Mr Nitish Nayak (University of California-Irvine)

19/06/2020, 13:15

The unified approach of Feldman and Cousins allows for exact statistical inference of small signals that commonly arise in high energy physics. It has gained widespread use, for instance, in measurements of neutrino oscillation parameters in long-baseline experiments. However, the approach relies on the Neyman construction of the classical confidence interval and is computationally intensive...

10. Shower Reconstruction in Liquid Argon Time Projection Chambers using Graphical Neural Networks

Francois Drielsma (SLAC)

19/06/2020, 13:30

Liquid Argon Time Projection Chambers (LArTPCs) are a class of detectors that produce high resolution images of charged particles within their sensitive volume. The identification and clustering of electromagnetic (EM) showers in LArTPCs is of central importance to the current and future neutrino physics program. EM activity typically exhibits spatially detached fragments of varying morphology...

25. Interaction Clustering in Liquid Argon Time Projection Chamber using Graph Neural Networks

Qing Lin (SLAC)

19/06/2020, 13:45

Liquid Argon Time Projection Chamber (LArTPC) is a type of particle imaging detectors that can record an image of charged particle trajectories with high (~mm/pixel) spatial resolution and calorimetric information. LArTPC is widely used in accelerator-based neutrino oscillation experiments, including Short Baseline Neutrino (SBN) program and Deep Underground Neutrino Experiment (DUNE). The...

50. Sparse Segmentation for Particle ID in ProtoDUNE

Carlos s Sarasty Segura (University of Cincinnati)

19/06/2020, 14:00

This talk presents the application of sparse convolutional neural networks in three dimensions in the ProtoDUNE Liquid Argon Time Projection Chamber (LArTPC) detector, building on previous applications of the technique in other LArTPCs. Sparse convolutions allow for computationally efficient processing of very large and high-resolution three-dimensional images, making them a natural fit for...

48. Close out

Adam Aurisano (University of Cincinnati), Corey Adams (Argonne National Laboratory), Prof. Jianming Bian (University of California-Irvine), Kazuhiro Terao (SLAC), Marco Del Tutto (Fermilab), Nick Prouse (TRIUMF), Patrick de Perio (TRIUMF), Taritree Wongjirad (Tufts University)

19/06/2020, 14:15