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Doping liquid argon with xenon in ProtoDUNE Single-Phase: effects on scintillation light
A. Abed Abud, B. Abi, R. Acciarri, M. A. Acero, M. R. Adames, G. Adamov, M. Adamowski, D. L. Adams, M. Adinolfi, C. Adriano, A. Aduszkiewicz, J. A. Aguilar, B. Aimard, F. Akbar, K. K. Allison, S. Alonso Monsalve, M. Alrashed, R. Alvarez, H. Amar Es-sghir, P. Amedo, J. Anderson, D. A. Andrade, C. Andreopoulos, M. Andreotti, M.P. Andrews, F. Andrianala, S. Andringa, Н. Анфимов, A. Ankowski, M. Antoniassi, M. Antonova, A. Antoshkin, Alfredo Aranda, L. Arellano, E. Arrieta Díaz, M. A. Arroyave, J. Asaadi, A. Ashkenazi, L. Asquith, E. T. Atkin, D. Auguste, A. Aurisano, V. Aushev, D. Autiero, F. Azfar, H.O. Back, H. Back, J. J. Back, I. Bagaturia, L. Bagby, N. Balashov, S. Balasubramanian, Pierre Baldi, W. Baldini, B. Baller, B. Bambah, Rajat Banerjee, F. Barão, Gabriela Barenboim, Pablo Barham Alzás, Gareth J. Barker, W. Barkhouse, G. Barr, J. Barranco Monarca, A. L. F. de Barros, N. Barros, D. Barrow, J. L. Barrow, A. Basharina-Freshville, A. Bashyal, V. Basque, C. Batchelor, L. 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Notice bibliographique
RevueJournal of Instrumentation · 2024
Typearticle
Langueen
DomainePhysics and Astronomy
ThématiqueAtomic and Subatomic Physics Research
Établissements canadiensUniversity of TorontoYork University
Organismes subventionnairesSLAC National Accelerator LaboratoryLos Alamos National LaboratoryFermilabLaboratori Nazionali del Gran SassoInstituto Superior TécnicoScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaCollege of Engineering, Michigan State UniversityStony Brook UniversityUniversità degli Studi di ParmaUniversidade Tecnológica Federal do ParanáLawrence Berkeley National LaboratoryEuropean Regional Development FundUniversity of South CarolinaTaras Shevchenko National University of KyivPunjab Agricultural UniversityJunta de AndalucíaUniversidad del MagdalenaGran Sasso Science InstituteNational Institute of Science Education and ResearchIstituto Nazionale di Fisica Nucleare Sezione di PadovaUniversidade Federal do Rio de JaneiroMinisterstvo Školství, Mládeže a TělovýchovyUniversità di PisaSouthern Methodist UniversityConselho Nacional de Desenvolvimento Científico e TecnológicoUniversité Paris-SaclayYale UniversityXunta de GaliciaUniversitat de ValènciaUniversità degli Studi di FerraraHigh Energy Accelerator Research OrganizationUniwersytet WarszawskiUniversidad de GuanajuatoIndian Institute of Technology GuwahatiFundação de Amparo à Pesquisa do Estado de GoiásMinisterio de Ciencia e InnovaciónCentre National de la Recherche ScientifiqueUniversità degli Studi di PaviaUniversità degli Studi di GenovaJeonbuk National UniversityKorea Institute of Science and Technology InformationRice UniversityUK Research and InnovationKorea Institute of Science and TechnologyKorea UniversityFundação para a Ciência e a TecnologiaRadboud UniversiteitUniversity of SussexUniversity College LondonUniversity of TorontoUlsan National Institute of Science and TechnologyImperial College LondonUniversidad Nacional Mayor de San MarcosUniversity of OxfordUniversity of WarwickHarish-Chandra Research InstituteRoyal SocietyUniversity of HyderabadIndian Institute of Technology KanpurOhio State UniversityInstituto Tecnológico de AeronáuticaSun Yat-sen UniversitySouth Dakota School of Mines and TechnologyFlorida State UniversityUniversidade de Santiago de CompostelaCERNUniversità degli Studi di MilanoUniversità degli Studi di Napoli Federico IIIstituto Nazionale di Fisica NucleareState University of New YorkIdaho State UniversityUniversidad de GranadaUniversità degli Studi dell'InsubriaPontificia Universidad Católica del PerúUniversity of PittsburghIowa State UniversityQueen Mary University of LondonUniversity of Texas at ArlingtonOregon State UniversityUniversity of Notre DameHorizon 2020 Framework ProgrammeLouisiana State UniversityInstitute for Research in Fundamental SciencesSyracuse UniversityWellesley CollegeTel Aviv UniversityJawaharlal Nehru UniversitySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungYork UniversityOffice of ScienceNorthwestern UniversityInstitut National de Physique Nucléaire et de Physique des ParticulesJohannes Gutenberg-Universität MainzUniversidade de LisboaNorthern Illinois UniversityUniversity of RochesterUniversity of Minnesota DuluthMichigan State UniversityWichita State UniversityUniversity of MinnesotaNational Science FoundationSouth Dakota State UniversityUniversity of PennsylvaniaFundação de Amparo à Pesquisa do Estado de São PauloJackson State UniversityEuropean CommissionTürkiye Bilimsel ve Teknolojik Araştırma KurumuMassachusetts Institute of TechnologySapienza Università di RomaPacific Northwest National LaboratoryFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroU.S. Department of Energy
Mots-clésXenonScintillationArgonDopingMaterials sciencePhase (matter)OpticsOptoelectronicsPhysicsNuclear physicsAtomic physicsDetector
Résumé
Abstract 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. From February to May 2020, we carried out this special run in the single-phase DUNE Far Detector prototype (ProtoDUNE-SP) at CERN, featuring 720 t of total liquid argon mass with 410 t of fiducial mass. A 5.4 ppm nitrogen contamination was present during the xenon doping campaign. The goal of the run was to measure the light and charge response of the detector to the addition of xenon, up to a concentration of 18.8 ppm. The main purpose was to test the possibility for reduction of non-uniformities in light collection, caused by deployment of photon detectors only within the anode planes. Light collection was analysed as a function of the xenon concentration, by using the pre-existing photon detection system (PDS) of ProtoDUNE-SP and an additional smaller set-up installed specifically for this run. In this paper we first summarize our current understanding of the argon-xenon energy transfer process and the impact of the presence of nitrogen in argon with and without xenon dopant. We then describe the key elements of ProtoDUNE-SP and the injection method deployed. Two dedicated photon detectors were able to collect the light produced by xenon and the total light. The ratio of these components was measured to be about 0.65 as 18.8 ppm of xenon were injected. We performed studies of the collection efficiency as a function of the distance between tracks and light detectors, demonstrating enhanced uniformity of response for the anode-mounted PDS. We also show that xenon doping can substantially recover light losses due to contamination of the liquid argon by nitrogen.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,809
Score d'incertitude au seuil0,310
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
Tête enseignante Opus0,012
Tête enseignante GPT0,313
Écart entre enseignants0,301 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validation
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».
En bref
Citations7
Publié2024
Routes d'admission2
Résumé présentoui