Machine learning for imaging Cherenkov detectors
Abstract
Imaging Cherenkov detectors are largely used in modern nuclear and particle physics experiments where cutting-edge solutions are needed to face always more growing computing demands. This is a fertile ground for AI-based approaches and at present we are witnessing the onset of new highly efficient and fast applications. This paper presents novel directions with applications to Cherenkov detectors. In particular, recent advances on detector design and calibration, as well as particle identification are presented.
- Authors:
-
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)
- Publication Date:
- Research Org.:
- Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Nuclear Physics (NP)
- OSTI Identifier:
- 1671317
- Report Number(s):
- JLAB-PHY-20-3159; DOE/OR/23177-5054; arXiv:2006.05543
Journal ID: ISSN 1748-0221; TRN: US2203901
- Grant/Contract Number:
- FG02-94ER40818
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Instrumentation
- Additional Journal Information:
- Journal Volume: 15; Journal Issue: 02; Journal ID: ISSN 1748-0221
- Publisher:
- Institute of Physics (IOP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION; Cherenkov detectors; reconstruction; calibration; machine learning
Citation Formats
Fanelli, C. Machine learning for imaging Cherenkov detectors. United States: N. p., 2020.
Web. doi:10.1088/1748-0221/15/02/c02012.
Fanelli, C. Machine learning for imaging Cherenkov detectors. United States. https://doi.org/10.1088/1748-0221/15/02/c02012
Fanelli, C. Mon .
"Machine learning for imaging Cherenkov detectors". United States. https://doi.org/10.1088/1748-0221/15/02/c02012. https://www.osti.gov/servlets/purl/1671317.
@article{osti_1671317,
title = {Machine learning for imaging Cherenkov detectors},
author = {Fanelli, C.},
abstractNote = {Imaging Cherenkov detectors are largely used in modern nuclear and particle physics experiments where cutting-edge solutions are needed to face always more growing computing demands. This is a fertile ground for AI-based approaches and at present we are witnessing the onset of new highly efficient and fast applications. This paper presents novel directions with applications to Cherenkov detectors. In particular, recent advances on detector design and calibration, as well as particle identification are presented.},
doi = {10.1088/1748-0221/15/02/c02012},
journal = {Journal of Instrumentation},
number = 02,
volume = 15,
place = {United States},
year = {Mon Feb 10 00:00:00 EST 2020},
month = {Mon Feb 10 00:00:00 EST 2020}
}
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