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Machine Learning in High Energy Physics Community White Paper
/ Albertsson, Kim (Lulea U.) ; Altoe, Piero (NVIDIA, Santa Clara) ; Anderson, Dustin (Caltech) ; Anderson, John ; Andrews, Michael (Carnegie Mellon U.) ; Araque Espinosa, Juan Pedro (LIP, Lisbon) ; Aurisano, Adam (Cincinnati U.) ; Basara, Laurent (INFN, Padua ; Padua U.) ; Bevan, Adrian (University Coll. London) ; Bhimji, Wahid (LBL, Berkeley) et al.
Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction in the 2010s. In this document we discuss promising future research and development areas for machine learning in particle physics. [...]
arXiv:1807.02876; FERMILAB-PUB-18-318-CD-DI-PPD.-
2018-10-18 - 27 p.
- Published in : J. Phys.: Conf. Ser. 1085 (2018) 022008
Fulltext: 1807.02876 - PDF; Albertsson_2018_J._Phys.__Conf._Ser._1085_022008 - PDF; fulltext1681439 - PDF; fermilab-pub-18-318-cd-di-ppd - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server (fulltext available)
In : 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Seattle, WA, USA, 21 - 25 Aug 2017, pp.022008
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Searching for long-lived particles beyond the Standard Model at the Large Hadron Collider
/ Alimena, Juliette (Ohio State U.) ; Beacham, James (Duke U.) ; Borsato, Martino (Heidelberg U.) ; Cheng, Yangyang (Cornell U., LNS) ; Cid Vidal, Xabier (Santiago de Compostela U.) ; Cottin, Giovanna (Adolfo Ibanez U. ; Chile U., Catolica ; Taiwan, Natl. Taiwan U.) ; De Roeck, Albert (CERN) ; Desai, Nishita (Tata Inst.) ; Curtin, David (Toronto U.) ; Evans, Jared A. (Cincinnati U.) et al.
Particles beyond the Standard Model (SM) can generically have lifetimes that are long compared to SM particles at the weak scale. When produced at experiments such as the Large Hadron Collider (LHC) at CERN, these long-lived particles (LLPs) can decay far from the interaction vertex of the primary proton-proton collision. [...]
arXiv:1903.04497.-
2020-09-08 - 201 p.
- Published in : J. Phys. G 47 (2020) 090501
Fulltext: 1903.04497 - PDF; fermilab-pub-19-110-cd-ppd - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server (fulltext available)
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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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Fermilab Library Server - eConf - Fulltext - Fulltext
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Low-Energy Physics in Neutrino LArTPCs
/ Caratelli, D. (UC, Santa Barbara) ; Foreman, W. (IIT, Chicago) ; Friedland, A. (SLAC) ; Gardiner, S. (Fermilab) ; Gil-Botella, I. (Madrid, CIEMAT) ; Karagiorgi, G. (Munich, Max Planck Inst. ; Columbia U.) ; Kirby, M. (Fermilab) ; Lehmann Miotto, G. (CERN) ; Littlejohn, B.R. (IIT, Chicago) ; Mooney, M. (Colorado State U.) et al.
In this white paper, we outline some of the scientific opportunities and challenges related to detection and reconstruction of low-energy (less than 100 MeV) signatures in liquid argon time-projection chamber (LArTPC) detectors. [...]
arXiv:2203.00740 ; FERMILAB-FN-1147-ND-SCD.
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Fermilab Library Server - eConf - Fulltext - Fulltext
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Muon Collider Forum Report
/ Black, K.M. (U. Wisconsin, Madison (main)) ; Jindariani, S. (Fermilab) ; Li, D. (LBNL, Berkeley) ; Maltoni, F. (Louvain U., CP3 ; INFN, Bologna ; U. Bologna, DIFA) ; Meade, P. (YITP, Stony Brook) ; Stratakis, D. (Fermilab) ; Acosta, D. (Rice U.) ; Agarwal, R. (LBNL, Berkeley) ; Agashe, K. (Maryland U.) ; Aimè, C. (Pavia U.) et al.
A multi-TeV muon collider offers a spectacular opportunity in the direct exploration of the energy frontier. Offering a combination of unprecedented energy collisions in a comparatively clean leptonic environment, a high energy muon collider has the unique potential to provide both precision measurements and the highest energy reach in one machine that cannot be paralleled by any currently available technology. [...]
arXiv:2209.01318; FERMILAB-FN-1194.-
2024-02-23 - 94 p.
- Published in : JINST 19 (2024) T02015
Fulltext: 2209.01318 - PDF; f9a96f4855e018cb1a1bb8d4d6ebbc35 - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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Dark Sectors 2016 Workshop: Community Report
/ Alexander, Jim (Cornell U., Phys. Dept.) ; Battaglieri, Marco (INFN, Genoa) ; Echenard, Bertrand (Caltech) ; Essig, Rouven (SUNY, Stony Brook) ; Graham, Matthew (SLAC) ; Izaguirre, Eder (Perimeter Inst. Theor. Phys.) ; Jaros, John (SLAC) ; Krnjaic, Gordan (Fermilab) ; Mardon, Jeremy (Stanford U., Phys. Dept.) ; Morrissey, David (TRIUMF) et al.
This report, based on the Dark Sectors workshop at SLAC in April 2016, summarizes the scientific importance of searches for dark sector dark matter and forces at masses beneath the weak-scale, the status of this broad international field, the important milestones motivating future exploration, and promising experimental opportunities to reach these milestones over the next 5-10 years..
arXiv:1608.08632 ; FERMILAB-CONF-16-421.
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2016. - 66 p.
Fermilab Library Server (fulltext available) - Full text - Fulltext
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Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector
/ DUNE Collaboration
Measurements of electrons from $\nu_e$ interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection and reconstruction of low-energy (Michel) electrons in the ProtoDUNE-SP detector. [...]
arXiv:2211.01166; FERMILAB-PUB-22-784; CERN-EP-DRAFT-MISC-2022-008.-
2023-05-01 - 19 p.
- Published in : Phys. Rev. D 107 (2023) 092012
Fulltext: 2211.01166 - PDF; FERMILAB-PUB-22-784 - PDF; FERMILAB-PUB-22-784 - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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Experiment Simulation Configurations Approximating DUNE TDR
/ DUNE Collaboration
The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment consisting of a high-power, broadband neutrino beam, a highly capable near detector located on site at Fermilab, in Batavia, Illinois, and a massive liquid argon time projection chamber (LArTPC) far detector located at the 4850L of Sanford Underground Research Facility in Lead, South Dakota. [...]
arXiv:2103.04797 ; FERMILAB-FN-1125-ND.
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Fulltext
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