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Second Analysis Ecosystem Workshop Report / Aly, Mohamed (Manchester U.) ; Burzynski, Jackson (Simon Fraser U.) ; Cardwell, Bryan (Virginia U.) ; Craik, Daniel C. (Zurich U.) ; van Daalen, Tal (Washington U., Seattle) ; Dado, Tomas (Dortmund U.) ; Das, Ayanabha (Prague, Tech. U.) ; Delgado Peris, Antonio (Madrid, CIEMAT) ; Doglioni, Caterina (Manchester U.) ; Elmer, Peter (Princeton U.) et al.
The second workshop on the HEP Analysis Ecosystem took place 23-25 May 2022 at IJCLab in Orsay, to look at progress and continuing challenges in scaling up HEP analysis to meet the needs of HL-LHC and DUNE, as well as the very pressing needs of LHC Run 3 analysis. [...]
arXiv:2212.04889 ; HSF-DOC-2022-02 ; FERMILAB-CONF-22-955-PPD. - 2022. - 27 p.
Fermilab Library Server - Fulltext - Fulltext

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Software Training in HEP / Malik, Sudhir (Puerto Rico U., Mayaguez) ; Meehan, Samuel (CERN) ; Lieret, Kilian (LMU Munich (main)) ; Evans, Meirin Oan (Sussex U.) ; Villanueva, Michel H. (Mississippi U.) ; Katz, Daniel S. (Illinois U., Urbana) ; Stewart, Graeme A. (CERN) ; Elmer, Peter (Princeton U.) ; Aziz, Sizar (IJCLab, Orsay) ; Bellis, Matthew (Siena Coll., Loudonville) et al.
Long term sustainability of the high energy physics (HEP) research software ecosystem is essential for the field. With upgrades and new facilities coming online throughout the 2020s this will only become increasingly relevant throughout this decade [...]
arXiv:2103.00659.- 2021-10-08 - 7 p.
- Published in : Comput. Softw. Big Sci.: 5 (2021) , no. 1, pp. 22 Fulltext: document - PDF; 2103.00659 - PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.22

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The Scikit HEP Project -- overview and prospects / Rodrigues, Eduardo (Liverpool U.) ; Krikler, Benjamin (Bristol U.) ; Burr, Chris (CERN) ; Smirnov, Dmitri (Brookhaven) ; Dembinski, Hans (Tech. U., Dortmund (main)) ; Schreiner, Henry (Princeton U.) ; Nandi, Jaydeep (NIT, Silchar) ; Pivarski, Jim (Princeton U.) ; Feickert, Matthew (Illinois U., Urbana) ; Marinangeli, Matthieu (Ecole Polytechnique, Lausanne) et al.
Scikit-HEP is a community-driven and community-oriented project with the goal of providing an ecosystem for particle physics data analysis in Python. Scikit-HEP is a toolset of approximately twenty packages and a few "affiliated" packages. [...]
arXiv:2007.03577.- 2020 - 6 p. - Published in : EPJ Web Conf. 245 (2020) 06028 Fulltext: 2007.03577 - PDF; fermilab-conf-20-395-cms - PDF; fulltext1805478 - PDF; Fulltext from publisher: PDF; External link: Fermilab Library Server (fulltext available)
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.06028

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A Python upgrade to the GooFit package for parallel fitting / Schreiner, Henry (Cincinnati U., RWC) ; Pandey, Himadri (Cincinnati U., RWC) ; Sokoloff, Michael D (Cincinnati U., RWC) ; Hittle, Bradley (OSC, Columbus) ; Tomko, Karen (OSC, Columbus) ; Hasse, Christoph (CERN ; Tech. U., Dortmund (main))
The GooFit highly parallel fitting package for GPUs and CPUs has been substantially upgraded in the past year. Python bindings have been added to allow simple access to the fitting configuration, setup, and execution. [...]
2019 - 7 p. - Published in : EPJ Web Conf. 214 (2019) 05006 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.05006

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A Flavor of the Flavor Physics at LHCb / Schreiner, Henry Fredrick (University of Cincinnati (US))
LHCb-TALK-2019-253.- Geneva : CERN, 2019 Fulltext: PDF;
In : American Association of Physics Teachers, Summer meeting 2019, Provo, Utah, United States Of America, 20 - 24 Jul 2019

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A hybrid deep learning approach to vertexing / Schreiner, Henry Fredrick (speaker) (University of Cincinnati (US))
In the transition to Run 3 in 2021, LHCb will undergo a major luminosity upgrade, going from 1.1 to 5.6 expected visible Primary Vertices (PVs) per event, and will adopt a purely software trigger. This has fueled increased interest in alternative highly-parallel and GPU friendly algorithms for tracking and reconstruction. [...]
2019 - 1180. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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Status of HLT1 sequence and path towards 30 MHz / De Cian, Michel (EPFL - Ecole Polytechnique Federale Lausanne (CH)) ; Dziurda, Agnieszka (CERN) ; Gligorov, Vladimir (Centre National de la Recherche Scientifique (FR)) ; Hasse, Christoph (Technische Universitaet Dortmund (DE)) ; Hulsbergen, Wouter (Nikhef National institute for subatomic physics (NL)) ; Latham, Thomas Edward (University of Warwick (GB)) ; Ponce, Sebastien (CERN) ; Quagliani, Renato (Université Paris-Saclay (FR)) ; Schreiner, Henry Fredrick (University of Cincinnati (US)) ; Stemmle, Simon Benedikt (Ruprecht Karls Universitaet Heidelberg (DE)) et al.
We present the current status of the HLT1 reconstruction sequence for the LHCb upgrade, both in terms of the number of events which can be processed per second and the achievable physics performance on a selected range of benchmark modes. We present detailed proﬁling of the various algorithms, describe the bottlenecks, and outline a strategy towards an HLT1 able to process the LHCb upgrade data at 30 MHz
LHCb-PUB-2018-003; CERN-LHCb-PUB-2018-003.- Geneva : CERN, 2018 - 21. Fulltext: PDF;

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GPUs in LHCb for Analysis / Schreiner, Henry Fredrick (University of Cincinnati (US))
LHCb-TALK-2017-237.- Geneva : CERN, 2017 Fulltext: PDF;
In : DPF Meeting 2017, Batavia, Il, United States Of America, 31 Jul - 4 Aug 2017

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Sehen Sie auch: ähnliche Autornamen
2	Schreiner, H F
1	Schreiner, H.
12	Schreiner, H.F.
204	Schreiner, HF
1	Schreiner, Henry F.
4	Schreiner, Henry Fredrick
1	Schreiner, Herwig

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