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What Machine Learning Can Do for Focusing Aerogel Detectors. / Shipilov, F.; Barnyakov, A.; Bobrovnikov, V. et al.

In: Physics of Atomic Nuclei, Vol. 86, No. 5, 10.2023, p. 864-868.

Research output: Contribution to journal › Article › peer-review

Harvard

Shipilov, F, Barnyakov, A, Bobrovnikov, V, Kononov, S & Ratnikov, F 2023, 'What Machine Learning Can Do for Focusing Aerogel Detectors', Physics of Atomic Nuclei, vol. 86, no. 5, pp. 864-868. https://doi.org/10.1134/S106377882305037X

APA

Shipilov, F., Barnyakov, A., Bobrovnikov, V., Kononov, S., & Ratnikov, F. (2023). What Machine Learning Can Do for Focusing Aerogel Detectors. Physics of Atomic Nuclei, 86(5), 864-868. https://doi.org/10.1134/S106377882305037X

Vancouver

Shipilov F, Barnyakov A, Bobrovnikov V, Kononov S, Ratnikov F. What Machine Learning Can Do for Focusing Aerogel Detectors. Physics of Atomic Nuclei. 2023 Oct;86(5):864-868. doi: 10.1134/S106377882305037X

Author

Shipilov, F. ; Barnyakov, A. ; Bobrovnikov, V. et al. / What Machine Learning Can Do for Focusing Aerogel Detectors. In: Physics of Atomic Nuclei. 2023 ; Vol. 86, No. 5. pp. 864-868.

BibTeX

@article{3d46cd11fb2445dcb0b5169ec924630d,
title = "What Machine Learning Can Do for Focusing Aerogel Detectors",
abstract = "Particle identification at the Super Charm-Tau factory experiment will be provided by a Focusing Aerogel Ring Imaging CHerenkov detector (FARICH). Silicon photomultipliers used for the Cherenkov light detection generate a lot of noise hits that must be mitigated to reduce both the data flow and negative effects on particle velocity resolution. In this work we present our approach to filtering signal hits, inspired by object detection techniques for computer vision. Several ML-based approaches to the FARICH reconstruction problem in different settings are also discussed.",
author = "F. Shipilov and A. Barnyakov and V. Bobrovnikov and S. Kononov and F. Ratnikov",
note = "The research leading to these results has received funding from the Basic Research Program at the National Research University Higher School of Economics. Публикация для корректировки.",
year = "2023",
month = oct,
doi = "10.1134/S106377882305037X",
language = "English",
volume = "86",
pages = "864--868",
journal = "Physics of Atomic Nuclei",
issn = "1063-7788",
publisher = "Maik Nauka-Interperiodica Publishing",
number = "5",

}

RIS

TY - JOUR

T1 - What Machine Learning Can Do for Focusing Aerogel Detectors

AU - Shipilov, F.

AU - Barnyakov, A.

AU - Bobrovnikov, V.

AU - Kononov, S.

AU - Ratnikov, F.

N1 - The research leading to these results has received funding from the Basic Research Program at the National Research University Higher School of Economics. Публикация для корректировки.

PY - 2023/10

Y1 - 2023/10

N2 - Particle identification at the Super Charm-Tau factory experiment will be provided by a Focusing Aerogel Ring Imaging CHerenkov detector (FARICH). Silicon photomultipliers used for the Cherenkov light detection generate a lot of noise hits that must be mitigated to reduce both the data flow and negative effects on particle velocity resolution. In this work we present our approach to filtering signal hits, inspired by object detection techniques for computer vision. Several ML-based approaches to the FARICH reconstruction problem in different settings are also discussed.

AB - Particle identification at the Super Charm-Tau factory experiment will be provided by a Focusing Aerogel Ring Imaging CHerenkov detector (FARICH). Silicon photomultipliers used for the Cherenkov light detection generate a lot of noise hits that must be mitigated to reduce both the data flow and negative effects on particle velocity resolution. In this work we present our approach to filtering signal hits, inspired by object detection techniques for computer vision. Several ML-based approaches to the FARICH reconstruction problem in different settings are also discussed.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85176133156&origin=inward&txGid=f1ef2c4adde707150c1e48fa4dfefa04

UR - https://www.mendeley.com/catalogue/3439e20f-d779-32be-8db8-7f6c7ddb8833/

U2 - 10.1134/S106377882305037X

DO - 10.1134/S106377882305037X

M3 - Article

VL - 86

SP - 864

EP - 868

JO - Physics of Atomic Nuclei

JF - Physics of Atomic Nuclei

SN - 1063-7788

IS - 5

ER -

ID: 59548288