3D Modeling of Electric Fields in the LUX Detector

Bibliographic Details
Main Author: LUX collaboration (93 authors)
Publication Date: 2017
Other Authors: Brás, P., Lindote, A., Lopes, M.I., Neves, F., Silva, C., Solovov, V.N.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://dx.doi.org/10.1088/1748-0221/12/11/P11022
http://hdl.handle.net/10400.26/27432
Summary: This work details the development of a three-dimensional (3D) electric field model for the LUX detector. The detector took data to search for weakly interacting massive particles (WIMPs) during two periods. After the first period completed, a time-varying non-uniform negative charge developed in the polytetrafluoroethylene (PTFE) panels that define the radial boundary of the detector's active volume. This caused electric field variations in the detector in time, depth and azimuth, generating an electrostatic radially-inward force on electrons on their way upward to the liquid surface. To map this behavior, 3D electric field maps of the detector's active volume were generated on a monthly basis. This was done by fitting a model built in COMSOL Multiphysics to the uniformly distributed calibration data that were collected on a regular basis. The modeled average PTFE charge density increased over the course of the exposure from -3.6 to −5.5 μC/m2. From our studies, we deduce that the electric field magnitude varied locally while the mean value of the field of ~200 V/cm remained constant throughout the exposure. As a result of this work the varying electric fields and their impact on event reconstruction and discrimination were successfully modeled.
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spelling 3D Modeling of Electric Fields in the LUX DetectorThis work details the development of a three-dimensional (3D) electric field model for the LUX detector. The detector took data to search for weakly interacting massive particles (WIMPs) during two periods. After the first period completed, a time-varying non-uniform negative charge developed in the polytetrafluoroethylene (PTFE) panels that define the radial boundary of the detector's active volume. This caused electric field variations in the detector in time, depth and azimuth, generating an electrostatic radially-inward force on electrons on their way upward to the liquid surface. To map this behavior, 3D electric field maps of the detector's active volume were generated on a monthly basis. This was done by fitting a model built in COMSOL Multiphysics to the uniformly distributed calibration data that were collected on a regular basis. The modeled average PTFE charge density increased over the course of the exposure from -3.6 to −5.5 μC/m2. From our studies, we deduce that the electric field magnitude varied locally while the mean value of the field of ~200 V/cm remained constant throughout the exposure. As a result of this work the varying electric fields and their impact on event reconstruction and discrimination were successfully modeled.Repositório ComumLUX collaboration (93 authors)Brás, P.Lindote, A.Lopes, M.I.Neves, F.Silva, C.Solovov, V.N.2019-02-04T13:55:49Z2017-11-242019-02-04T13:55:49Z2017-11-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1088/1748-0221/12/11/P11022http://hdl.handle.net/10400.26/27432enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-14T13:06:17Zoai:comum.rcaap.pt:10400.26/27432Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T07:19:07.988505Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv 3D Modeling of Electric Fields in the LUX Detector
title 3D Modeling of Electric Fields in the LUX Detector
spellingShingle 3D Modeling of Electric Fields in the LUX Detector
LUX collaboration (93 authors)
title_short 3D Modeling of Electric Fields in the LUX Detector
title_full 3D Modeling of Electric Fields in the LUX Detector
title_fullStr 3D Modeling of Electric Fields in the LUX Detector
title_full_unstemmed 3D Modeling of Electric Fields in the LUX Detector
title_sort 3D Modeling of Electric Fields in the LUX Detector
author LUX collaboration (93 authors)
author_facet LUX collaboration (93 authors)
Brás, P.
Lindote, A.
Lopes, M.I.
Neves, F.
Silva, C.
Solovov, V.N.
author_role author
author2 Brás, P.
Lindote, A.
Lopes, M.I.
Neves, F.
Silva, C.
Solovov, V.N.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv LUX collaboration (93 authors)
Brás, P.
Lindote, A.
Lopes, M.I.
Neves, F.
Silva, C.
Solovov, V.N.
description This work details the development of a three-dimensional (3D) electric field model for the LUX detector. The detector took data to search for weakly interacting massive particles (WIMPs) during two periods. After the first period completed, a time-varying non-uniform negative charge developed in the polytetrafluoroethylene (PTFE) panels that define the radial boundary of the detector's active volume. This caused electric field variations in the detector in time, depth and azimuth, generating an electrostatic radially-inward force on electrons on their way upward to the liquid surface. To map this behavior, 3D electric field maps of the detector's active volume were generated on a monthly basis. This was done by fitting a model built in COMSOL Multiphysics to the uniformly distributed calibration data that were collected on a regular basis. The modeled average PTFE charge density increased over the course of the exposure from -3.6 to −5.5 μC/m2. From our studies, we deduce that the electric field magnitude varied locally while the mean value of the field of ~200 V/cm remained constant throughout the exposure. As a result of this work the varying electric fields and their impact on event reconstruction and discrimination were successfully modeled.
publishDate 2017
dc.date.none.fl_str_mv 2017-11-24
2017-11-24T00:00:00Z
2019-02-04T13:55:49Z
2019-02-04T13:55:49Z
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dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1088/1748-0221/12/11/P11022
http://hdl.handle.net/10400.26/27432
url http://dx.doi.org/10.1088/1748-0221/12/11/P11022
http://hdl.handle.net/10400.26/27432
dc.language.iso.fl_str_mv eng
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