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Experimental Verification of a Convolutional Neural Network Separation Method in TeV Gamma-Ray Observations by the Tibet ASγ Experiment.

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Title: Experimental Verification of a Convolutional Neural Network Separation Method in TeV Gamma-Ray Observations by the Tibet ASγ Experiment.
Authors: Amenomori, M1, Anzorena, M2, Bao, Y W3, Bi, X J4, Chen, D5, Chen, T L6, Chen, W Y4, Chen, Xu5, Chen, Y3, Cirennima6, Cui, S W7, Danzengluobu6, Ding, L K4, Fang, J H4,8, Fang, K4, Feng, C F9, Feng, Y L6, Feng, Zhaoyang4, Feng, Z Y10, Fujita, K2
Source: Progress of Theoretical & Experimental Physics: PTEP; Oct2025, Vol. 2025 Issue 10, p1-22, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189684822
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Experimental Verification of a Convolutional Neural Network Separation Method in TeV Gamma-Ray Observations by the Tibet ASγ Experiment.
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  Data: <searchLink fieldCode="JN" term="%22Progress+of+Theoretical+%26+Experimental+Physics%3A+PTEP%22">Progress of Theoretical & Experimental Physics: PTEP</searchLink>; Oct2025, Vol. 2025 Issue 10, p1-22, 22p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189684822
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        Value: 10.1093/ptep/ptaf127
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              Text: Oct2025
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