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HHH Whitepaper / Abouabid, Hamza (Abdelmalek Essaadi U.) ; Arhrib, Abdesslam (Abdelmalek Essaadi U.) ; Arnold, Hannah (Stony Brook U.) ; Azevedo, Duarte (KIT, Karlsruhe, TP) ; Brigljevic, Vuko (Boskovic Inst., Zagreb) ; Chen, Maggie (Oxford U., Theor. Phys.) ; Diaz, Daniel (San Diego State U.) ; Duarte, Javier (San Diego State U.) ; du Pree, Tristan (NIKHEF, Amsterdam ; Twente U., Enschede) ; Falaki, Jaouad El (Ibn Zohr U., Agadir) et al.
We here report on the progress of the HHH Workshop, that took place in Dubrovnik in July 2023. After the discovery of a particle that complies with the properties of the Higgs boson of the Standard Model, all SM parameters are in principle determined. [...]
arXiv:2407.03015.- 2024-11-19 - 117 p. - Published in : 10.1140/epjc/s10052-024-13376-3 Fulltext: document - PDF; 2407.03015 - PDF;

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Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning / Shanahan, Phiala (MIT) ; Terao, Kazuhiro (SLAC) ; Whiteson, Daniel (UC, Irvine) ; Aarts, Gert (Swansea U. ; ECT, Trento ; Fond. Bruno Kessler, Trento) ; Adelmann, Andreas (Northeastern U. ; PSI, Villigen) ; Akchurin, N. (Texas Tech.) ; Alexandru, Andrei (George Washington U. ; Maryland U.) ; Amram, Oz (Johns Hopkins U.) ; Andreassen, Anders (Google Inc.) ; Apresyan, Artur (Fermilab) et al.
The rapidly-developing intersection of machine learning (ML) with high-energy physics (HEP) presents both opportunities and challenges to our community. [...]
arXiv:2209.07559 ; FERMILAB-CONF-22-719-ND-PPD-QIS-SCD. -
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4	Sheldon, B W
1	Sheldon, Ben
6	Sheldon, Bill
1	Sheldon, Bob

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