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The hypothetical track-length fitting algorithm for energy measurement in liquid argon TPCs / DUNE Collaboration
This paper introduces the hypothetical track-length fitting algorithm, a novel method for measuring the kinetic energies of ionizing particles in liquid argon time projection chambers (LArTPCs). The algorithm finds the most probable offset in track length for a track-like object by comparing the measured ionization density as a function of position with a theoretical prediction of the energy loss as a function of the energy, including models of electron recombination and detector response. [...]
arXiv:2409.18288; FERMILAB-PUB-24-0561-LBNF-PPD; CERN-EP-2024-256.- 2024-09-26 - 44 p. Fulltext: 5ebd9b53b0989890bee405d2a58efefa - PDF; 2409.18288 - PDF; External link: Fermilab Library Server

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DUNE Phase II: Scientific Opportunities, Detector Concepts, Technological Solutions / DUNE Collaboration
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase strategy toward the implementation of this leading-edge, large-scale science project. The 2023 report of the US Particle Physics Project Prioritization Panel (P5) reaffirmed this vision and strongly endorsed DUNE Phase I and Phase II, as did the European Strategy for Particle Physics. [...]
arXiv:2408.12725; FERMILAB-TM-2833-LBNF.- 2024-12-06 - 106 p. - Published in : JINST 19 (2024) P12005 Fulltext: 2408.12725 - PDF; bd705d719db89fa76c9061fe3fff1acb - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server

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Data Quality Monitoring through Transfer Learning on Anomaly Detection for the Hadron Calorimeters / CMS HCAL Collaboration
The proliferation of sensors brings an immense volume of spatio-temporal (ST) data in many domains for various purposes, including monitoring, diagnostics, and prognostics applications. [...]
arXiv:2408.16612. - 28.
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First measurement of the total inelastic cross section of positively charged kaons on argon at energies between 5.0 and 7.5 GeV / DUNE Collaboration
ProtoDUNE Single-Phase (ProtoDUNE-SP) is a 770-ton liquid argon time projection chamber that operated in a hadron test beam at the CERN Neutrino Platform in 2018. We present a measurement of the total inelastic cross section of charged kaons on argon as a function of kaon energy using 6 and 7 GeV/$c$ beam momentum settings. [...]
arXiv:2408.00582; CERN-EP-2024-211; FERMILAB-PUB-24-0216-V.- Geneva : CERN, 2024-11-01 - 22 p. - Published in : Phys. Rev. D 110 (2024) 092011 Draft (restricted): PDF; Fulltext: CERN-EP-2024-211 - PDF; 2408.00582 - PDF; 3f22d35f790011dc2df45f95086221ea - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server

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Supernova Pointing Capabilities of DUNE / DUNE Collaboration
The determination of the direction of a stellar core collapse via its neutrino emission is crucial for the identification of the progenitor for a multimessenger follow-up. [...]
arXiv:2407.10339 ; FERMILAB-PUB-24-0319-LBNF. - 25.
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Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning / CALICE Collaboration
To achieve state-of-the-art jet energy resolution for Particle Flow, sophisticated energy clustering algorithms must be developed that can fully exploit available information to separate energy deposits from charged and neutral particles. Three published neural network-based shower separation models were applied to simulation and experimental data to measure the performance of the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL) technological prototype in distinguishing the energy deposited by a single charged and single neutral hadron for Particle Flow. [...]
arXiv:2407.00178.- 2024-10-24 - 29 p. - Published in : JINST 19 (2024) P10027 Fulltext: 2407.00178 - PDF; document - PDF;

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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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Performance of a modular ton-scale pixel-readout liquid argon time projection chamber / DUNE Collaboration
The Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. [...]
arXiv:2403.03212; FERMILAB-PUB-24-0073-LBNF.- 2024-09-11 - 46 p. - Published in : Instruments 8 (2024) 41 Fulltext: a68f99fb0ea20981dbb416a651b29c4c - PDF; 2403.03212 - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server

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Doping liquid argon with xenon in ProtoDUNE Single-Phase: effects on scintillation light / DUNE Collaboration
Doping of liquid argon TPCs (LArTPCs) with a small concentration of xenon is a technique for light-shifting and facilitates the detection of the liquid argon scintillation light. In this paper, we present the results of the first doping test ever performed in a kiloton-scale LArTPC. [...]
arXiv:2402.01568; CERN-EP-2024-024; FERMILAB-PUB-23-0819-LBNF.- Geneva : CERN, 2024-08-05 - 43 p. - Published in : JINST 19 (2024) P08005 Draft (restricted): PDF; Fulltext: 2402.01568 - PDF; CERN-EP-2024-024 - PDF; FERMILAB-PUB-23-0819-LBNF - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server

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Timing Performance of the CMS High Granularity Calorimeter Prototype / CMS HGCAL Collaboration
This paper describes the experience with the calibration, reconstruction and evaluation of the timing capabilities of the CMS HGCAL prototype in the beam tests in 2018. The calibration procedure includes multiple steps and corrections ranging from tens of nanoseconds to a few hundred picoseconds. [...]
arXiv:2312.14622.- 2024-04-11 - 22 p. - Published in : JINST 19 (2024) P04015 Fulltext: PDF; Fulltext from Publisher: PDF;

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44	Bilki, B
1049	Bilki, Burak

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