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Enhanced sensitivity to the H → Zγ → ℓ+ℓ−γ decay at the LHC using machine learning and novel kinematic observables.

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Title: Enhanced sensitivity to the H → Zγ → ℓ+ℓ−γ decay at the LHC using machine learning and novel kinematic observables.
Authors: Kumari, Manisha1 (AUTHOR) manisha.kumari@cern.ch, Sarkar, Amal1 (AUTHOR) amal.sarkar@cern.ch
Source: Journal of High Energy Physics. Jun2026, Vol. 2026 Issue 6, p1-27. 27p.
Database: Mathematics Source
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  Data: Enhanced sensitivity to the H → Zγ → ℓ<superscript>+</superscript>ℓ<superscript>−</superscript>γ decay at the LHC using machine learning and novel kinematic observables.
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  Data: <searchLink fieldCode="AR" term="%22Kumari%2C+Manisha%22">Kumari, Manisha</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> manisha.kumari@cern.ch</i><br /><searchLink fieldCode="AR" term="%22Sarkar%2C+Amal%22">Sarkar, Amal</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> amal.sarkar@cern.ch</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+High+Energy+Physics%22">Journal of High Energy Physics</searchLink>. Jun2026, Vol. 2026 Issue 6, p1-27. 27p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=195335287
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/JHEP06(2026)079
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 27
        StartPage: 1
    Titles:
      – TitleFull: Enhanced sensitivity to the H → Zγ → ℓ+ℓ−γ decay at the LHC using machine learning and novel kinematic observables.
        Type: main
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            NameFull: Kumari, Manisha
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            NameFull: Sarkar, Amal
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 2026
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              Value: 6
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            – TitleFull: Journal of High Energy Physics
              Type: main
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