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Deep learning approaches to top FCNC couplings to photons at the LHC.

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Title: Deep learning approaches to top FCNC couplings to photons at the LHC.
Authors: Fuks, Benjamin1 (AUTHOR) fuks@lpthe.jussieu.fr, Garg, Sumit K.2 (AUTHOR) sumit.kumar@manipal.edu, Hammad, A.3 (AUTHOR) hamed@post.kek.jp, Jueid, Adil4,5 (AUTHOR) adiljueid@ibs.re.kr
Source: Journal of High Energy Physics. Feb2026, Vol. 2026 Issue 2, p1-39. 39p.
Database: Mathematics Source
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+High+Energy+Physics%22">Journal of High Energy Physics</searchLink>. Feb2026, Vol. 2026 Issue 2, p1-39. 39p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=192456398
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      – Type: doi
        Value: 10.1007/JHEP02(2026)021
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      – Code: eng
        Text: English
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      – TitleFull: Deep learning approaches to top FCNC couplings to photons at the LHC.
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              Text: Feb2026
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              Y: 2026
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              Value: 2026
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