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 = {2020},
month = {2}
}
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Works referenced in this record:
Characterization of the Hamamatsu H12700A-03 and R12699-03 multi-anode photomultiplier tubes
journal, September 2015
- Calvi, M.; Carniti, P.; Cassina, L.
- Journal of Instrumentation, Vol. 10, Issue 09
Physics opportunities with the 12 GeV upgrade at Jefferson Lab
journal, December 2012
- Dudek, Jozef; Ent, Rolf; Essig, Rouven
- The European Physical Journal A, Vol. 48, Issue 12
New approaches for boosting to uniformity
journal, March 2015
- Rogozhnikov, A.; Bukva, A.; Gligorov, V.
- Journal of Instrumentation, Vol. 10, Issue 03
The GlueX DIRC detector
journal, December 2017
- Barbosa, F.; Bessuille, J.; Chudakov, E.
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 876
The HERMES dual-radiator ring imaging Cherenkov detector
journal, March 2002
- Akopov, N.; Aschenauer, E. C.; Bailey, K.
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 479, Issue 2-3
A high-bias, low-variance introduction to Machine Learning for physicists
journal, May 2019
- Mehta, Pankaj; Bukov, Marin; Wang, Ching-Hao
- Physics Reports, Vol. 810
A RICH Detector for CLAS12 Spectrometer
journal, January 2012
- Alaoui, Ahmed El; Baltzell, Nathan; Hafidi, Kawtar
- Physics Procedia, Vol. 37
Artificial neural networks
journal, September 1988
- Hopfield, J. J.
- IEEE Circuits and Devices Magazine, Vol. 4, Issue 5
Machine Learning based Global Particle Identification Algorithms at the LHCb Experiment
journal, January 2019
- Derkach, Denis; Hushchyn, Mikhail; Kazeev, Nikita
- EPJ Web of Conferences, Vol. 214
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
journal, April 1982
- Hanley, J. A.; McNeil, B. J.
- Radiology, Vol. 143, Issue 1
Hybrid mesons
journal, May 2015
- Meyer, C. A.; Swanson, E. S.
- Progress in Particle and Nuclear Physics, Vol. 82
Application of machine learning techniques to lepton energy reconstruction in water Cherenkov detectors
journal, April 2018
- Drakopoulou, E.; Cowan, G. A.; Needham, M. D.
- Journal of Instrumentation, Vol. 13, Issue 04
Muon Hunter: a Zooniverse project
journal, December 2019
- Bird, R.; Daniel, M. K.; Dickinson, H.
- Journal of Physics: Conference Series, Vol. 1342
Machine Learning in High Energy Physics Community White Paper
journal, September 2018
- Albertsson, Kim; Altoe, Piero; Anderson, Dustin
- Journal of Physics: Conference Series, Vol. 1085
The first VERITAS telescope
journal, July 2006
- Holder, J.; Atkins, R. W.; Badran, H. M.
- Astroparticle Physics, Vol. 25, Issue 6
Cherenkov detectors fast simulation using neural networks
journal, February 2020
- Derkach, Denis; Kazeev, Nikita; Ratnikov, Fedor
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 952
FastDIRC: a fast Monte Carlo and reconstruction algorithm for DIRC detectors
journal, October 2016
- Hardin, J.; Williams, M.
- Journal of Instrumentation, Vol. 11, Issue 10
Performance of the LHCb RICH detector at the LHC
journal, May 2013
- Adinolfi, M.; Aglieri Rinella, G.; Albrecht, E.
- The European Physical Journal C, Vol. 73, Issue 5
Design and R&D of RICH detectors for EIC experiments
journal, December 2017
- Del Dotto, A.; Wong, C. -P.; Allison, L.
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 876
A RICH Detector for CLAS12 Spectrometer
journal, January 2012
- Alaoui, Ahmed El; Baltzell, Nathan; Hafidi, Kawtar
- Physics Procedia, Vol. 37
Fast algorithms for ring recognition and electron identification in the CBM RICH detector
journal, March 2009
- Lebedev, S. A.; Ososkov, G. A.
- Physics of Particles and Nuclei Letters, Vol. 6, Issue 2
TITUS: An Intermediate Distance Detector for the Hyper-Kamiokande Neutrino Beam
preprint, January 2015
- Lasorak, Pierre; Prouse, Nick
- arXiv
Cherenkov Detectors Fast Simulation Using Neural Networks
text, January 2019
- Derkach, Denis; Kazeev, Nikita; Ratnikov, Fedor
- arXiv