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Deep Learning the Effects of Photon Sensors on the Event Reconstruction Performance in an Antineutrino Detector
Joint Authors
Loh, Chang-Wei
Qian, Zhi-Qiang
Zhang, Rui
Liu, You-Hang
Cao, De-Wen
Wang, Wei
Yang, Hai-Bo
Qi, Ming
Source
Advances in High Energy Physics
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We provide a fast approach incorporating the usage of deep learning for studying the effects of the number of photon sensors in an antineutrino detector on the event reconstruction performance therein.
This work is a first attempt to harness the power of deep learning for detector designing and upgrade planning.
Using the Daya Bay detector as a case study and the vertex reconstruction performance as the objective for the deep neural network, we find that the photomultiplier tubes (PMTs) at Daya Bay have different relative importance to the vertex reconstruction.
More importantly, the vertex position resolutions for the Daya Bay detector follow approximately a multiexponential relationship with respect to the number of PMTs and, hence, the coverage.
This could also assist in deciding on the merits of installing additional PMTs for future detector plans.
The approach could easily be used with other objectives in place of vertex reconstruction.
American Psychological Association (APA)
Loh, Chang-Wei& Qian, Zhi-Qiang& Zhang, Rui& Liu, You-Hang& Cao, De-Wen& Wang, Wei…[et al.]. 2018. Deep Learning the Effects of Photon Sensors on the Event Reconstruction Performance in an Antineutrino Detector. Advances in High Energy Physics،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1118181
Modern Language Association (MLA)
Loh, Chang-Wei…[et al.]. Deep Learning the Effects of Photon Sensors on the Event Reconstruction Performance in an Antineutrino Detector. Advances in High Energy Physics No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1118181
American Medical Association (AMA)
Loh, Chang-Wei& Qian, Zhi-Qiang& Zhang, Rui& Liu, You-Hang& Cao, De-Wen& Wang, Wei…[et al.]. Deep Learning the Effects of Photon Sensors on the Event Reconstruction Performance in an Antineutrino Detector. Advances in High Energy Physics. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1118181
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118181