Journal Article

GSI-2024-00418

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Sharpening the $A → Z^{(*)}h$ signature of the Type-II 2HDM at the LHC through advanced Machine Learning

Esmail, W. A. M. (Corresponding author)GSI* ; Hammad, A. (Corresponding author) ; Moretti, S. (Corresponding author)

2023
SISSA [Trieste]

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Please use a persistent id in citations: doi:10.1007/JHEP11(2023)020  doi:10.15120/GSI-2024-00418

Note: This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited. Article funded by SCOAP3

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Contributing Institute(s):

1. Bibliothek & Dokumentation (BUD)

Research Program(s):

1. 899 - ohne Topic (POF4-899) (POF4-899)
2. DFG project 491382106 - Open-Access-Publikationskosten / 2022-2024 / GSI Helmholtzzentrum für Schwerionenforschung (491382106) (491382106)

Experiment(s):

1. (Facility Altdaten therefore no facility)

Appears in the scientific report 2023

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Database coverage:
; ; ; ; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; National-Konsortium ; SCOAP3 sponsored Journal ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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