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Deep-learning real/bogus classification for the Tomo-e Gozen transient survey.

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Title: Deep-learning real/bogus classification for the Tomo-e Gozen transient survey.
Authors: Takahashi, Ichiro1, ichiro.takahashi@astr.tohoku.ac.jp, Hamasaki, Ryo2, Ueda, Naonori3, Tanaka, Masaomi1,4,5, Tominaga, Nozomu2,5,6,7, Sako, Shigeyuki8,9,10, Ohsawa, Ryou8, Yoshida, Naoki5,11,12
Source: Publications of the Astronomical Society of Japan; Aug2022, Vol. 74 Issue 4, p946-960, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 158601804
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Publications+of+the+Astronomical+Society+of+Japan%22">Publications of the Astronomical Society of Japan</searchLink>; Aug2022, Vol. 74 Issue 4, p946-960, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158601804
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/pasj/psac047
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 946
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      – TitleFull: Deep-learning real/bogus classification for the Tomo-e Gozen transient survey.
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            NameFull: Takahashi, Ichiro
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            NameFull: Hamasaki, Ryo
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            NameFull: Ueda, Naonori
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            NameFull: Tanaka, Masaomi
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            NameFull: Tominaga, Nozomu
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            NameFull: Sako, Shigeyuki
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            NameFull: Ohsawa, Ryou
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            – D: 01
              M: 08
              Text: Aug2022
              Type: published
              Y: 2022
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            – TitleFull: Publications of the Astronomical Society of Japan
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