About
While deep learning techniques are becoming increasingly more popular in high-energy and, since recently, neutrino experiments, they are less confidently used in direct dark matter searches based on dual-phase noble gas TPCs optimized for low-energy signals from particle interactions. In the present study, application of modern deep learning methods for event ver- tex reconstruction is demonstrated with an example of the 50-tonne liquid argon DarkSide-20k TPC with almost 10 thousand photosensors. The developed methods successfully reconstruct event's position withing sub- cm precision and are applicable to any dual-phase argon or xenon TPC of arbi- trary size with any sensor shape and array pattern..
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The talk
Credits and licence
- Institution
- CERN
- Department
- Conferences
- Speaker
- Victor Goicoechea Casanueva
- Year
- 2021
- Language
- English
- Subjects
- Physics, Computer science, Earth and environment
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed