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Software Citation in HEP: Current State and Recommendations for the Future
/ Feickert, Matthew (Wisconsin U., Madison) ; Katz, Daniel S. (Illinois U., Urbana) ; Neubauer, Mark S. (Illinois U., Urbana) ; Sexton-Kennedy, Elizabeth (Fermilab) ; Stewart, Graeme A. (CERN)
In November 2022, the HEP Software Foundation and the Institute for Research and Innovation for Software in High-Energy Physics organized a workshop on the topic of Software Citation and Recognition in HEP. The goal of the workshop was to bring together different types of stakeholders whose roles relate to software citation, and the associated credit it provides, in order to engage the community in a discussion on: the ways HEP experiments handle citation of software, recognition for software efforts that enable physics results disseminated to the public, and how the scholarly publishing ecosystem supports these activities. [...]
arXiv:2309.14571; FERMILAB-CONF-23-0861-PPD.-
2024 - 7 p.
- Published in : EPJ Web Conf. 295 (2024) 08017
Fermilab Library Server: PDF; Fulltext: document - PDF; 2309.14571 - PDF; External link: Fermilab Library Server
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.08017
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IRIS-HEP Strategic Plan for the Next Phase of Software Upgrades for HL-LHC Physics
/ Bockelman, Brian (Wisconsin U., Madison) ; Elmer, Peter (Princeton U.) ; Watts, Gordon (Washington U., Seattle) ; Cranmer, Kyle (Wisconsin U., Madison) ; Feickert, Matthew (Wisconsin U., Madison) ; Gardner, Rob (Chicago U.) ; Gray, Heather (LBNL, Berkeley ; UC, Berkeley) ; Held, Alexander (Wisconsin U., Madison) ; Katz, Daniel S. (Illinois U., Urbana) ; Lange, David (Princeton U.) et al.
The quest to understand the fundamental building blocks of nature and their interactions is one of the oldest and most ambitious of human scientific endeavors. [...]
arXiv:2302.01317 ; FERMILAB-PUB-23-068-PPD.
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Fermilab Library Server - Fulltext - Fulltext
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Report of the Topical Group on Electroweak Precision Physics and Constraining New Physics for Snowmass 2021
/ Belloni, Alberto (Maryland U.) ; Freitas, Ayres (Pittsburgh U.) ; Tian, Junping (Tokyo U., ICEPP) ; Alcaraz Maestre, Juan (Madrid, CIEMAT) ; Apyan, Aram (Brandeis U.) ; Azartash-Namin, Bianca (Oklahoma U.) ; Azzurri, Paolo (INFN, Pisa) ; Banerjee, Swagato (Louisville U.) ; Beyer, Jakob (DESY) ; Bhattacharya, Saptaparna (Northwestern U.) et al.
The precise measurement of physics observables and the test of their consistency within the standard model (SM) are an invaluable approach, complemented by direct searches for new particles, to determine the existence of physics beyond the standard model (BSM). [...]
arXiv:2209.08078.
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55.
eConf - Fulltext
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Applications and Techniques for Fast Machine Learning in Science
/ Deiana, Allison McCarn (Southern Methodist U.) ; Tran, Nhan (Fermilab ; Northwestern U. (main)) ; Agar, Joshua (Lehigh U. (main)) ; Blott, Michaela (Xilinx, Dublin) ; Di Guglielmo, Giuseppe (Columbia U. (main)) ; Duarte, Javier (UC, San Diego) ; Harris, Philip (MIT) ; Hauck, Scott (George Washington U. (main)) ; Liu, Mia (Purdue U.) ; Neubauer, Mark S. (Illinois U., Urbana) et al.
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science -- the concept of integrating power ML methods into the real-time experimental data processing loop to accelerate scientific discovery. The material for the report builds on two workshops held by the Fast ML for Science community and covers three main areas: applications for fast ML across a number of scientific domains; techniques for training and implementing performant and resource-efficient ML algorithms; and computing architectures, platforms, and technologies for deploying these algorithms. [...]
arXiv:2110.13041; FERMILAB-PUB-21-502-AD-E-SCD.-
2022-04-12 - 56 p.
- Published in : Front. Big Data 5 (2022) 787421
Fulltext: 2110.13041 - PDF; fermilab-pub-21-502-ad-e-scd - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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Jets and Jet Substructure at Future Colliders
/ Nachman, Ben (LBNL, Berkeley) ; Bonilla, Johan (UC, Davis) ; Chachamis, Grigorios (LIP, Lisbon) ; Dillon, Barry M. (Heidelberg U.) ; Chekanov, Sergei V. (Argonne) ; Erbacher, Robin (UC, Davis) ; Gouskos, Loukas (CERN) ; Hinzmann, Andreas (Hamburg U.) ; Höche, Stefan (Fermilab) ; Huffman, B. Todd (Oxford U.) et al.
Even though jet substructure was not an original design consideration for the Large Hadron Collider (LHC) experiments, it has emerged as an essential tool for the current physics program. We examine the role of jet substructure on the motivation for and design of future energy frontier colliders. [...]
arXiv:2203.07462; FERMILAB-PUB-22-186-SCD-T.-
2022-06-22 - 38 p.
- Published in : Front. Phys. 10 (2022) 897719
Fulltext: jt - PDF; 2203.07462 - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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Publishing statistical models: Getting the most out of particle physics experiments
/ Cranmer, Kyle (New York U.) ; Kraml, Sabine (LPSC, Grenoble) ; Prosper, Harrison B. (Florida State U.) ; Bechtle, Philip (Bonn U.) ; Bernlochner, Florian U. (Bonn U.) ; Bloch, Itay M. (Tel Aviv U. (main)) ; Canonero, Enzo (Genoa U.) ; Chrzaszcz, Marcin (Cracow, INP) ; Coccaro, Andrea (INFN, Genoa) ; Conrad, Jan (Stockholm U., OKC) et al.
The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In this paper, we make the scientific case for systematically publishing the full statistical models and discuss the technical developments that make this practical. [...]
arXiv:2109.04981.-
2022-01-25 - 60 p.
- Published in : SciPost Phys. 12 (2022) 037
Fulltext: 2109.04981 - PDF; document - PDF;
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Learning from the Pandemic: the Future of Meetings in HEP and Beyond
/ Neubauer, Mark S. (Illinois U., Urbana (main)) ; Adams, Todd (Florida State U.) ; Adelman-McCarthy, Jennifer (Fermilab) ; Benelli, Gabriele (Brown U.) ; Bose, Tulika (Wisconsin U., Madison) ; Britton, David (Glasgow U.) ; Burchat, Pat (Stanford U., ITP) ; Butler, Joel (Fermilab) ; Cartwright, Timothy A. (Wisconsin U., Madison) ; Davídek, Tomáš (Charles U.) et al.
The COVID-19 pandemic has by-and-large prevented in-person meetings since March 2020. [...]
arXiv:2106.15783 ; FERMILAB-PUB-21-308-ND-PPD-SCD.
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55 p.
Fermilab Library Server - Fulltext - Fulltext
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