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CERN Document Server 576 ჩანაწერია ნაპოვნი  1 - 10შემდეგიდასასრული  ჩანაწერთან გადასვლა: ძიებას დასჭირდა 0.57 წამი. 
1.
Snowmass 2021 Computational Frontier CompF4 Topical Group Report: Storage and Processing Resource Access / Bhimji, W. (LBL, Berkeley) ; Bhimij, W. (LBL, Berkeley) ; Carder, D. (UC, Berkeley) ; Dart, E. (UC, Berkeley) ; Duarte, J. (UC, San Diego) ; Fisk, I. (Flatiron Inst., New York) ; Gardner, R. (Chicago U.) ; Guok, C. (UC, Berkeley) ; Jayatilaka, B. (Fermilab) ; Lehman, T. (UC, Berkeley) et al.
Computing plays a significant role in all areas of high energy physics. The Snowmass 2021 CompF4 topical group's scope is facilities R&D;, where we consider "facilities" as the computing hardware and software infrastructure inside the data centers plus the networking between data centers, irrespective of who owns them, and what policies are applied for using them. [...]
arXiv:2209.08868; FERMILAB-PUB-22-715-SCD.- 2023-04-26 - 52 p. - Published in : Comput. Softw. Big Sci. 7 (2023) 5 Fulltext: ca5207741f54c3b335f8db28cb95fffa - PDF; 2209.08868 - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
2.
Software and Computing for Small HEP Experiments / FASER Collaboration
This white paper briefly summarized key conclusions of the recent US Community Study on the Future of Particle Physics (Snowmass 2021) workshop on Software and Computing for Small High Energy Physics Experiments..
arXiv:2203.07645 ; FERMILAB-CONF-22-138.
- 11.
Fermilab Library Server - eConf - Fulltext - Fulltext
3.
Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC / Bhimji, Wahid (LBNL, Berkeley) ; Farrell, Steven Andrew (LBNL, Berkeley) ; Kurth, Thorsten (LBNL, Berkeley) ; Paganini, Michela (LBNL, Berkeley ; Yale U.) ; Prabhat (LBNL, Berkeley) ; Racah, Evan (LBNL, Berkeley)
There has been considerable recent activity applying deep convolutional neural nets (CNNs) to data from particle physics experiments. Current approaches on ATLAS/CMS have largely focussed on a subset of the calorimeter, and for identifying objects or particular particle types. [...]
arXiv:1711.03573.- 2018-10-18 - 6 p. - Published in : J. Phys.: Conf. Ser. 1085 (2018) 042034 Fulltext: fulltext1635524 - PDF; Bhimji_2018_J._Phys.__Conf._Ser._1085_042034 - PDF; arXiv:1711.03573 - PDF; Fulltext from Publisher: PDF;
In : 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Seattle, WA, USA, 21 - 25 Aug 2017, pp.042034
4.
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
5.
A Roadmap for HEP Software and Computing R&D for the 2020s / HEP Software Foundation Collaboration
Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. [...]
arXiv:1712.06982; HSF-CWP-2017-01; HSF-CWP-2017-001; FERMILAB-PUB-17-607-CD.- 2019-03-20 - 49 p. - Published in : Comput. Softw. Big Sci. 3 (2019) 7 Fulltext: 1712.06982 - PDF; fermilab-pub-17-607-cd - PDF; Fulltext from Publisher: PDF; Preprint: PDF; External link: Fermilab Library Server (fulltext available)
6.
Reconstruction of primary vertices at the ATLAS experiment in Run 1 proton--proton collisions at the LHC / ATLAS Collaboration
This paper presents the method and performance of primary vertex reconstruction in proton--proton collision data recorded by the ATLAS experiment during Run 1 of the LHC. The studies presented focus on data taken during 2012 at a centre-of-mass energy of $\sqrt{s} = 8$ TeV. [...]
arXiv:1611.10235; CERN-EP-2016-150; CERN-EP-2016-150.- Geneva : CERN, 2017-05-19 - 52 p. - Published in : Eur. Phys. J. C 77 (2017) 332 Article from SCOAP3: scoap3-fulltext - PDF; scoap - PDF; Fulltext: PDF; Springer Open Access article: PDF;
7.
Performance of algorithms that reconstruct missing transverse momentum in $\sqrt{s}$= 8 TeV proton--proton collisions in the ATLAS detector / ATLAS Collaboration
The reconstruction and calibration algorithms used to calculate missing transverse momentum ($E_{\rm T}^{\rm miss}$) with the ATLAS detector exploit energy deposits in the calorimeter and tracks reconstructed in the inner detector as well as the muon spectrometer. Various strategies are used to suppress effects arising from additional proton--proton interactions, called pileup, concurrent with the hard-scatter processes. [...]
arXiv:1609.09324; CERN-EP-2016-134.- Geneva : CERN, 2017-04-13 - 68 p. - Published in : Eur. Phys. J. C 77 (2017) 241 Article from SCOAP3: scoap3-fulltext - PDF; scoap - PDF; Fulltext: PDF; Springer Open Access article: PDF;
8.
Search for dark matter in association with a Higgs boson decaying to $b$-quarks in $pp$ collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector / ATLAS Collaboration
A search for dark matter pair production in association with a Higgs boson decaying to a pair of bottom quarks is presented, using 3.2 $fb^{-1}$ of $pp$ collisions at a centre-of-mass energy of 13 TeV collected by the ATLAS detector at the LHC. The decay of the Higgs boson is reconstructed as a high-momentum $b\bar{b}$ system with either a pair of small-radius jets, or a single large-radius jet with substructure. [...]
arXiv:1609.04572; CERN-EP-2016-181.- Geneva : CERN, 2017-02-10 - 21 p. - Published in : Phys. Lett. B 765 (2016) 11 Article from SCOAP3: PDF; Fulltext: PDF; External links: Previous draft version; Preprint
9.
Measurement of the $t\bar{t}Z$ and $t\bar{t}W$ production cross sections in multilepton final states using 3.2 fb$^{-1}$ of $pp$ collisions at $\sqrt{s}$ =13 TeV with the ATLAS detector / ATLAS Collaboration
A measurement of the $t\bar{t}Z$ and $t\bar{t}W$ production cross sections in final states with either two same-charge muons, or three or four leptons (electrons or muons) is presented. The analysis uses a data sample of proton-proton collisions at $\sqrt{s} = 13$ TeV recorded with the ATLAS detector at the Large Hadron Collider in 2015, corresponding to a total integrated luminosity of 3.2 fb$^{-1}$. [...]
arXiv:1609.01599; CERN-EP-2016-185; CERN-EP-2016-185.- Geneva : CERN, 2017-01-20 - 22 p. - Published in : Eur. Phys. J. C 77 (2017) 40 Article from SCOAP3: PDF; Fulltext: PDF;
10.
Luminosity determination in pp collisions at $\sqrt{s}$ = 8 TeV using the ATLAS detector at the LHC / ATLAS Collaboration
The luminosity determination for the ATLAS detector at the LHC during pp collisions at $\sqrt{s}$ = 8 TeV in 2012 is presented. The evaluation of the luminosity scale is performed using several luminometers, and comparisons between these luminosity detectors are made to assess the accuracy, consistency and long-term stability of the results. [...]
arXiv:1608.03953; CERN-EP-2016-117; CERN-EP-2016-117.- Geneva : CERN, 2016-11-28 - 71 p. - Published in : Eur. Phys. J. C Article from SCOAP3: scoap3-fulltext - PDF; scoap - PDF; Fulltext: PDF;

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