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CERN Document Server 81 notices trouvées  1 - 10suivantfin  aller vers la notice: La recherche a duré 0.57 secondes. 
1.
Software Compensation for Highly Granular Calorimeters using Machine Learning / CALICE Collaboration
A neural network for software compensation was developed for the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL). The neural network uses spatial and temporal event information from the AHCAL and energy information, which is expected to improve sensitivity to shower development and the neutron fraction of the hadron shower. [...]
arXiv:2403.04632.- 2024-04 - 27 p. - Published in : JINST 19 (2024) P04037 Fulltext: 2403.04632 - PDF; Publication - PDF;
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2.
Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment / DUNE Collaboration
A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the $\mathcal{O}(10)$ MeV neutrinos produced by a Galactic core-collapse supernova if one should occur during the lifetime of the experiment. The liquid-argon-based detectors planned for DUNE are expected to be uniquely sensitive to the $\nu_e$ component of the supernova flux, enabling a wide variety of physics and astrophysics measurements. [...]
arXiv:2303.17007; FERMILAB-PUB-23-132-CSAID-LBNF-ND-T.- 2023-06-01 - 25 p. - Published in : Phys. Rev. D 107 (2023) 112012 Fulltext: 2303.17007 - PDF; FERMILAB-PUB-23-132-CSAID-LBNF-ND-T - PDF; Publication - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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3.
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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4.
Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20–300 GeV/c / CALICE Collaboration
The upgrade of the CMS experiment for the high luminosity operation of the LHC comprises the replacement of the current endcap calorimeter by a high granularity sampling calorimeter (HGCAL). The electromagnetic section of the HGCAL is based on silicon sensors interspersed between lead and copper (or copper tungsten) absorbers. [...]
arXiv:2211.04740.- 2023-08-14 - 31 p. - Published in : JINST 18 (2023) P08014 Fulltext: 2211.04740 - PDF; FERMILAB-PUB-23-299-ETD-PPD - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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5.
A Gaseous Argon-Based Near Detector to Enhance the Physics Capabilities of DUNE / DUNE Collaboration
This document presents the concept and physics case for a magnetized gaseous argon-based detector system (ND-GAr) for the Deep Underground Neutrino Experiment (DUNE) Near Detector. [...]
arXiv:2203.06281 ; FERMILAB-FN-1169-ND. - 31.
Fermilab Library Server - eConf - Fulltext - Fulltext
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6.
Snowmass Neutrino Frontier: DUNE Physics Summary / DUNE Collaboration
The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment with a primary physics goal of observing neutrino and antineutrino oscillation patterns to precisely measure the parameters governing long-baseline neutrino oscillation in a single experiment, and to test the three-flavor paradigm. [...]
arXiv:2203.06100 ; FERMILAB-FN-1168-LBNF. - 44.
Fermilab Library Server - eConf - Fulltext - Fulltext
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7.
Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora / DUNE Collaboration
The Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. [...]
arXiv:2206.14521; FERMILAB-PUB-22-488-AD-ESH-LBNF-ND-SCD; CERN-EP-DRAFT-MISC-2022-007.- 2023-07-14 - 39 p. - Published in : Eur. Phys. J. C 83 (2023) 618 Fulltext: jt - PDF; 2206.14521 - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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8.
Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment / DUNE Collaboration
The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation measurements over the lifetime of the experiment. In this work, we explore DUNE's sensitivity to observe charge-parity violation (CPV) in the neutrino sector, and to resolve the mass ordering, for exposures of up to 100 kiloton-megawatt-years (kt-MW-yr). [...]
arXiv:2109.01304; FERMILAB-PUB-21-391-ND.- 2022-04-01 - 32 p. - Published in : Phys. Rev. D 105 (2022) 072006 Fulltext: 2109.01304 - PDF; fermilab-pub-21-391-nd - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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9.
Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC / DUNE Collaboration
DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6x6x6m3 liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019-2020 as a prototype of the DUNE Far Detector. [...]
arXiv:2203.16134; CERN-EP-DRAFT-MISC-2022-003; FERMILAB-PUB-22-242-LBNF; CERN-EP-DRAFT-MISC-2022-003; FERMILAB-PUB-22-242-LBNF.- 2022-07-16 - 31 p. - Published in : Eur. Phys. J. C 82 (2022) 618 Fulltext: 2203.16134 - PDF; Publication - PDF; jt - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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10.
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network / DUNE Collaboration
Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). [...]
arXiv:2203.17053; FERMILAB-PUB-22-240-AD-ESH-LBNF-ND-SCD; CERN-EP-2022-077.- Geneva : CERN, 2022-10-12 - 31 p. - Published in : Eur. Phys. J. C 82 (2022) 903 Fulltext: jt - PDF; CERN-EP-DRAFT-MISC-2022-002 - PDF; 2203.17053 - PDF; Fulltext from Publisher: PDF; Fulltext from publisher: PDF; External link: Fermilab Library Server
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CERN Document Server : 81 notices trouvées   1 - 10suivantfin  aller vers la notice:
Voir aussi: noms d'auteurs similaires
190 Blazey, G
74 Blazey, G C
11 Blazey, G.
14 Blazey, Gerald
6 Blazey, Gerald C
3 Blazey, Gerald C.
38 Blazey, Gerald Charles
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