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SMEFT restrictions on exclusive b → uℓν decays / Greljo, Admir (Basel U.) ; Salko, Jakub (Basel U.) ; Smolkovič, Aleks (Basel U. ; U. Bern, AEC) ; Stangl, Peter (CERN)
Exclusive semileptonic $b$ hadron decays ($b \to u \ell \nu$) serve as a sandbox for probing strong and electroweak interactions and for extracting the CKM element $V_{ub}$. Instead, this work investigates their underexplored potential to reveal new short-distance physics. [...]
arXiv:2306.09401; CERN-TH-2023-111.- 2023-11-06 - 42 p. - Published in : JHEP 2311 (2023) 023 Fulltext: document - PDF; 2306.09401 - PDF;

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The ECFA Early Career Researcher's Panel: composition, structure, and activities, 2021 - 2022 / Alexandru Geanta, Andrei (Bucharest U.) ; Amendola, Chiara (IRFU, Saclay) ; Apolinario, Liliana (LIP, Lisbon) ; Arling, Jan-Hendrik (DESY) ; Ashkenazi, Adi (Tel Aviv U.) ; Augsten, Kamil (Prague, Tech. U.) ; Bagnaschi, Emanuele (CERN) ; Bakos, Evelin (Belgrade, Inst. Phys.) ; Barak, Liron (Tel Aviv U.) ; Bastos, Diogo (LIP, Lisbon) et al.
The European Committee for Future Accelerators (ECFA) Early Career Researcher's (ECR) panel, which represents the interests of the ECR community to ECFA, officially began its activities in January 2021. [...]
arXiv:2212.11238. - 13 p.
Fulltext

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Rare $b$ decays meet high-mass Drell-Yan / Greljo, Admir (Bern U. ; Basel U.) ; Salko, Jakub (Bern U. ; Basel U.) ; Smolkovič, Aleks (Bern U.) ; Stangl, Peter (Bern U. ; CERN)
Rare $b$ hadron decays are considered excellent probes of new semileptonic four-fermion interactions of microscopic origin. However, the same interactions also correct the high-mass Drell-Yan tails. [...]
arXiv:2212.10497; CERN-TH-2023-037.- 2023-05-11 - 65 p. - Published in : JHEP 2305 (2023) 087 Fulltext: document - PDF; 2212.10497 - 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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Results of the 2021 ECFA Early-Career Researcher Survey on Training in Instrumentation / ECFA Early-Career Researcher Panel Collaboration
The European Committee for Future Accelerators (ECFA) Early-Career Researchers (ECR) Panel was invited by the ECFA Detector R&D Roadmap conveners to collect feedback from the European ECR community. [...]
arXiv:2107.05739. - 32 p.
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The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics / Kasieczka, Gregor (Hamburg U.) ; Nachman, Benjamin (LBL, Berkeley ; UC, Berkeley, Miller Inst.) ; Shih, David (Rutgers U., Piscataway) ; Amram, Oz (Johns Hopkins U.) ; Andreassen, Anders (Google Inc.) ; Benkendorfer, Kees (LBL, Berkeley ; Reed Coll.) ; Bortolato, Blaz (Stefan Inst., Ljubljana) ; Brooijmans, Gustaaf (Nevis Labs, Columbia U.) ; Canelli, Florencia (Zurich U.) ; Collins, Jack H. (SLAC) et al.
A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. In order to develop and benchmark new anomaly detection methods within this framework, it is essential to have standard datasets. [...]
arXiv:2101.08320.- 2021-12-07 - 108 p. - Published in : Rep. Prog. Phys. 84 (2021) 124201 Fulltext: PDF;

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