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Physics Performance of the ATLAS GNN4ITk Track Reconstruction Chain / Caillou, Sylvain (Centre National de la Recherche Scientifique (FR)) ; Calafiura, Paolo (Lawrence Berkeley National Lab. (US)) ; Farrell, Steven Andrew ; Ju, Xiangyang (Lawrence Berkeley National Lab. (US)) ; Murnane, Daniel Thomas (Lawrence Berkeley National Lab. (US)) ; Pham, Minh Tuan (University of Wisconsin Madison (US)) ; Rougier, Charline (Centre National de la Recherche Scientifique (FR)) ; Stark, Jan (Centre National de la Recherche Scientifique (FR)) ; Vallier, Alexis (Centre National de la Recherche Scientifique (FR))
Particle tracking is vital for the ATLAS physics programs. [...]
ATL-SOFT-PROC-2023-038. - 2024 - 7.
Original Communication (restricted to ATLAS) - Full text

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Measurement of the inclusive $t\bar{t}$ production cross section in the lepton+jets channel in $pp$ collisions at $\sqrt{s}$= 7 TeV with the ATLAS detector using support vector machines / ATLAS Collaboration
A measurement of the top quark pair-production cross section in the lepton+jets decay channel is presented. It is based on 4.6 fb$^{-1}$ of $\sqrt{s} = 7$ TeV $pp$ collision data collected during 2011 by the ATLAS experiment at the CERN Large Hadron Collider. [...]
arXiv:2212.00571; CERN-EP-2022-191.- Geneva : CERN, 2023-08-01 - 34 p. - Published in : Phys. Rev. D 108 (2023) 032014 Fulltext: 2212.00571 - PDF; Publication - PDF; External link: Previous draft version

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ATLAS ITk Track Reconstruction with a GNN-based pipeline / Caillou, Sylvain (Centre National de la Recherche Scientifique (FR)) ; Calafiura, Paolo (Lawrence Berkeley National Lab. (US)) ; Farrell, Steven Andrew ; Ju, Xiangyang (Lawrence Berkeley National Lab. (US)) ; Murnane, Daniel Thomas (Lawrence Berkeley National Lab. (US)) ; Rougier, Charline (Centre National de la Recherche Scientifique (FR)) ; Stark, Jan (Centre National de la Recherche Scientifique (FR)) ; Vallier, Alexis (Centre National de la Recherche Scientifique (FR))
In preparation for the upcoming HL-LHC era, ATLAS is pursuing several methods to reduce the resources consumption needed to reconstruct the trajectory of charged particles (tracks) in the new all-silicon Inner Tracker (ITk). [...]
ATL-ITK-PROC-2022-006. - 2022 - 11.
Original Communication (restricted to ATLAS) - Full text

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Graph Neural Network Track Reconstruction for the ATLAS ITk Detector / Murnane, Daniel Thomas (Lawrence Berkeley National Lab. (US)) ; Vallier, Alexis (Centre National de la Recherche Scientifique (FR)) ; Rougier, Charline (Centre National de la Recherche Scientifique (FR)) ; Calafiura, Paolo (Lawrence Berkeley National Lab. (US)) ; Stark, Jan (Centre National de la Recherche Scientifique (FR)) ; Ju, Xiangyang (Lawrence Berkeley National Lab. (US)) ; Farrell, Steven Andrew ; Caillou, Sylvain (Centre National de la Recherche Scientifique (FR)) ; Neubauer, Mark (Univ. Illinois at Urbana Champaign (US)) ; Atkinson, Markus Julian (Univ. Illinois at Urbana Champaign (US)) /ATLAS Collaboration
Graph Neural Networks (GNNs) have been shown to produce high accuracy performance on a variety of HEP tasks, including track reconstruction in the TrackML challenge, and tagging in jet physics. However, GNNs are less explored in applications with noisy, heterogeneous or ambiguous data. [...]
ATL-ITK-SLIDE-2022-119.- Geneva : CERN, 2022 - 31 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

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Two-particle Bose–Einstein correlations in ${ pp }$ collisions at $\mathbf {\sqrt{s} = 13}$ TeV measured with the ATLAS detector at the LHC / ATLAS Collaboration
This paper presents studies of Bose-Einstein correlations (BEC) in proton-proton collisions at a centre-of-mass energy of 13 TeV, using data from the ATLAS detector at the CERN Large Hadron Collider. Data were collected in a special low-luminosity configuration with a minimum-bias trigger and a high-multiplicity track trigger, accumulating integrated luminosities of 151 $\mu$b$^{-1}$ and 8.4 nb$^{-1}$ respectively. [...]
arXiv:2202.02218; CERN-EP-2021-172.- Geneva : CERN, 2022-07-11 - 38 p. - Published in : Eur. Phys. J. C 82 (2022) 608 Fulltext: 2202.02218 - PDF; document - PDF; External link: Previous draft version

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Measurement of single top-quark production in association with a W boson in the single-lepton channel at $\sqrt{s} = 8\,\text {TeV}$ with the ATLAS detector / ATLAS Collaboration
The production cross-section of a top quark in association with a $W$ boson is measured using proton-proton collisions at $\sqrt{s} = 8$ TeV. The dataset corresponds to an integrated luminosity of 20.2 fb$^{-1}$, and was collected in 2012 by the ATLAS detector at the Large Hadron Collider at CERN. [...]
arXiv:2007.01554; CERN-EP-2019-221.- Geneva : CERN, 2021-08-10 - 42 p. - Published in : Eur. Phys. J. C 81 (2021) 720 Fulltext: 2007.01554 - PDF; document - PDF; External link: Previous draft version

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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

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AthenaMT: upgrading the ATLAS software framework for the many-core world with multi-threading / ATLAS Collaboration
ATLAS’s current software framework, Gaudi/Athena, has been very successful for the experiment in LHC Runs 1 and 2. [...]
ATL-SOFT-PROC-2017-019. - 2017. - 7 p.
Original Communication (restricted to ATLAS) - Full text - IOP Open Access Article

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Multi-threaded ATLAS simulation on Intel Knights Landing processors / Farrell, Steven (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Calafiura, Paolo (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Leggett, Charles (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Tsulaia, Vakhtang (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Dotti, Andrea (SLAC National Accelerator Laboratory)
The Knights Landing (KNL) release of the Intel Many Integrated Core (MIC) Xeon Phi line of processors is a potential game changer for HEP computing. [...]
ATL-SOFT-PROC-2017-017. - 2017. - 7 p.
Original Communication (restricted to ATLAS) - Full text - IOP Open Access Article

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10.

Managing Asynchronous Data in ATLAS's Concurrent Framework / ATLAS Collaboration
In order to be able to make effective use of emerging hardware, where the amount of memory available to any CPU is rapidly decreasing as the core count continues to rise, ATLAS has begun a migration to a concurrent, multi-threaded software framework, known as AthenaMT. [...]
ATL-SOFT-PROC-2016-006. - 2016. - 5 p.
Original Communication (restricted to ATLAS) - Full text

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See also: similar author names
41	FARRELL, S
851	FARRELL, Steven
41	Farrell, S
20	Farrell, S A
4	Farrell, S R
1	Farrell, S.
1	Farrell, S.J.
5	Farrell, Sean
13	Farrell, Sean A
5	Farrell, Sophia
1	Farrell, Steve
851	Farrell, Steven

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