Speaker
Dr
KAZUHIRO TERAO
(SLAC National Accelerator Laboratory)
Description
High resolution particle imaging detectors such as Time Projection Chambers (TPCs) are recently employed in many experiments to study the fine details of particle interactions. While much progress is made in the hardware R&D to construct a large scale TPCs, there remains much challenge to efficiently analyze highly detailed particle images and extract physics out. We formed a cross-experimental collaboration, DeepLearnPhysics (DLP) group, to co-develop software tools and algorithms to attack this common challenge. The DLP group consists of physicists from Short Baseline Neutrino (SBN) program, DUNE, NEXT and nEXO experiments, and shares software development effort and holds hands-on deep learning (DL) workshops for helping physicists to learn modern computer vision algorithms. In this poster we present our DL techniques R&D effort by physicists across many experiments and outreach activities to raise machine learning expertise in our community.
| Authorship annotation | for the DeepLearnPhysics collaboration |
|---|---|
| Session and Location | Monday Session, Poster Wall #117 (Auditorium Gallery Left) |
| Poster included in proceedings: | yes |
Primary author
Dr
KAZUHIRO TERAO
(SLAC National Accelerator Laboratory)
Co-authors
Dr
Corey Adams Adams
(Harvard University)
Ms
Laura Domine
(Stanford University/SLAC)
Ralitsa Sharankova
(Tufts University)
