The CCube reconstruction algorithm for the SoLid experiment
The SoLid experiment is a very-short-baseline experiment aimed at searching for nuclear-reactor-produced active-to-sterile antineutrino oscillations. The detection principle is based on the pairing of two types of solid scintillators: polyvinyl toluene and 6LiF:ZnS(Ag), which is a new technology use...
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Veröffentlicht in: | Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment Accelerators, spectrometers, detectors and associated equipment, 2024-09, Vol.1066, p.169628, Article 169628 |
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creator | Abreu, Y. Amhis, Y. Arnold, L. Barber, G. Beaumont, W. Binet, S. Bolognino, I. Bongrand, M. Borg, J. Boursette, D. Buridon, V. Castle, B.C. Chanal, H. Clark, K. Coupé, B. Crochet, P. Cussans, D. De Roeck, A. Durand, D. Durkin, T. Fallot, M. Galbinski, D. Gallego, S. Ghys, L. Giot, L. Graves, K. Guillon, B. Henaff, D. Hosseini, B. Jenzer, S. Kalcheva, S. Kalousis, L.N. Keloth, R. Koch, L. Labare, M. Lehaut, G. Manley, S. Manzanillas, L. Mermans, J. Michiels, I. Monteil, S. Moortgat, C. Newbold, D. Pestel, V. Petridis, K. Piñera, I. Popescu, L. Roy, N. Ryckbosch, D. Ryder, N. Saunders, D. Schune, M.-H. Rejeb Sfar, H. Simard, L. Vacheret, A. Vandierendonck, G. Van Dyck, S. Van Mulders, P. van Remortel, N. Vercaemer, S. Verstraeten, M. Viaud, B. Weber, A. Yeresko, M. Yermia, F. |
description | The SoLid experiment is a very-short-baseline experiment aimed at searching for nuclear-reactor-produced active-to-sterile antineutrino oscillations. The detection principle is based on the pairing of two types of solid scintillators: polyvinyl toluene and 6LiF:ZnS(Ag), which is a new technology used in this field of Physics. In addition to good neutron-gamma discrimination, this setup allows the detector to be highly segmented (the basic detection unit is a 5 cm side cube). High segmentation provides numerous advantages, including the precise location of inverse beta decay (IBD) products, the derivation of the antineutrino energy estimator based on the isolated positron energy, and a powerful background reduction tool based on the topological signature of the signal. Finally, the system is read out by a network of wavelength-shifting (WLS) fibres coupled to a photodetectors. This paper describes the design of the reconstruction algorithm that allows maximum use of the granularity of the detector. The goal of the algorithm is to convert the output of the optical-fibre readout to the list of the detection units from which it originated. This paper provides a performance comparison for three methods and concludes with a choice of the baseline approach for the experiment. |
doi_str_mv | 10.1016/j.nima.2024.169628 |
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The detection principle is based on the pairing of two types of solid scintillators: polyvinyl toluene and 6LiF:ZnS(Ag), which is a new technology used in this field of Physics. In addition to good neutron-gamma discrimination, this setup allows the detector to be highly segmented (the basic detection unit is a 5 cm side cube). High segmentation provides numerous advantages, including the precise location of inverse beta decay (IBD) products, the derivation of the antineutrino energy estimator based on the isolated positron energy, and a powerful background reduction tool based on the topological signature of the signal. Finally, the system is read out by a network of wavelength-shifting (WLS) fibres coupled to a photodetectors. This paper describes the design of the reconstruction algorithm that allows maximum use of the granularity of the detector. The goal of the algorithm is to convert the output of the optical-fibre readout to the list of the detection units from which it originated. This paper provides a performance comparison for three methods and concludes with a choice of the baseline approach for the experiment.</description><identifier>ISSN: 0168-9002</identifier><identifier>EISSN: 1872-9576</identifier><identifier>DOI: 10.1016/j.nima.2024.169628</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>High Energy Physics - Experiment ; Instrumentation and Detectors ; ML-EM method ; Physics ; Positron signal reconstruction ; SoLid detector</subject><ispartof>Nuclear instruments & methods in physics research. 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Section A, Accelerators, spectrometers, detectors and associated equipment</title><description>The SoLid experiment is a very-short-baseline experiment aimed at searching for nuclear-reactor-produced active-to-sterile antineutrino oscillations. The detection principle is based on the pairing of two types of solid scintillators: polyvinyl toluene and 6LiF:ZnS(Ag), which is a new technology used in this field of Physics. In addition to good neutron-gamma discrimination, this setup allows the detector to be highly segmented (the basic detection unit is a 5 cm side cube). High segmentation provides numerous advantages, including the precise location of inverse beta decay (IBD) products, the derivation of the antineutrino energy estimator based on the isolated positron energy, and a powerful background reduction tool based on the topological signature of the signal. Finally, the system is read out by a network of wavelength-shifting (WLS) fibres coupled to a photodetectors. This paper describes the design of the reconstruction algorithm that allows maximum use of the granularity of the detector. The goal of the algorithm is to convert the output of the optical-fibre readout to the list of the detection units from which it originated. This paper provides a performance comparison for three methods and concludes with a choice of the baseline approach for the experiment.</description><subject>High Energy Physics - Experiment</subject><subject>Instrumentation and Detectors</subject><subject>ML-EM method</subject><subject>Physics</subject><subject>Positron signal reconstruction</subject><subject>SoLid detector</subject><issn>0168-9002</issn><issn>1872-9576</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE9Lw0AQxRdRsFa_gKdcPSTubJL9g15KUCsEPFjPy3YzsVvabNmkRb-9GyIencvA470Z3o-QW6AZUOD326xze5MxyooMuOJMnpEZSMFSVQp-TmbRJFNFKbskV32_pXGUkDPysNpgUlXHNSYBre_6IRzt4HyXmN2nD27Y7JPWh2SItndfuybBrwMGt8duuCYXrdn1ePO75-Tj-WlVLdP67eW1WtSpZaoc0rwAimqNBTfWKJAAyHMJigMK22KJkkUdYU25FEoANtaI0gpsDObQqHxO7qa7G7PTh_jbhG_tjdPLRa1HjRZlKWO5E0Qvm7w2-L4P2P4FgOoRld7qEZUeUekJVQw9TiGMLU4Og-6tw85i4yKUQTfe_Rf_AaE5cXo</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Abreu, Y.</creator><creator>Amhis, Y.</creator><creator>Arnold, L.</creator><creator>Barber, G.</creator><creator>Beaumont, W.</creator><creator>Binet, S.</creator><creator>Bolognino, I.</creator><creator>Bongrand, M.</creator><creator>Borg, J.</creator><creator>Boursette, D.</creator><creator>Buridon, V.</creator><creator>Castle, B.C.</creator><creator>Chanal, H.</creator><creator>Clark, K.</creator><creator>Coupé, B.</creator><creator>Crochet, P.</creator><creator>Cussans, D.</creator><creator>De Roeck, A.</creator><creator>Durand, D.</creator><creator>Durkin, T.</creator><creator>Fallot, M.</creator><creator>Galbinski, D.</creator><creator>Gallego, S.</creator><creator>Ghys, L.</creator><creator>Giot, L.</creator><creator>Graves, K.</creator><creator>Guillon, B.</creator><creator>Henaff, D.</creator><creator>Hosseini, B.</creator><creator>Jenzer, S.</creator><creator>Kalcheva, S.</creator><creator>Kalousis, L.N.</creator><creator>Keloth, R.</creator><creator>Koch, L.</creator><creator>Labare, M.</creator><creator>Lehaut, G.</creator><creator>Manley, S.</creator><creator>Manzanillas, L.</creator><creator>Mermans, J.</creator><creator>Michiels, I.</creator><creator>Monteil, S.</creator><creator>Moortgat, C.</creator><creator>Newbold, D.</creator><creator>Pestel, V.</creator><creator>Petridis, K.</creator><creator>Piñera, I.</creator><creator>Popescu, L.</creator><creator>Roy, N.</creator><creator>Ryckbosch, D.</creator><creator>Ryder, N.</creator><creator>Saunders, D.</creator><creator>Schune, M.-H.</creator><creator>Rejeb Sfar, H.</creator><creator>Simard, L.</creator><creator>Vacheret, A.</creator><creator>Vandierendonck, G.</creator><creator>Van Dyck, S.</creator><creator>Van Mulders, P.</creator><creator>van Remortel, N.</creator><creator>Vercaemer, S.</creator><creator>Verstraeten, M.</creator><creator>Viaud, B.</creator><creator>Weber, A.</creator><creator>Yeresko, M.</creator><creator>Yermia, F.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0009-0008-6372-0976</orcidid></search><sort><creationdate>20240901</creationdate><title>The CCube reconstruction algorithm for the SoLid experiment</title><author>Abreu, Y. ; Amhis, Y. ; Arnold, L. ; Barber, G. ; Beaumont, W. ; Binet, S. ; Bolognino, I. ; Bongrand, M. ; Borg, J. ; Boursette, D. ; Buridon, V. ; Castle, B.C. ; Chanal, H. ; Clark, K. ; Coupé, B. ; Crochet, P. ; Cussans, D. ; De Roeck, A. ; Durand, D. ; Durkin, T. ; Fallot, M. ; Galbinski, D. ; Gallego, S. ; Ghys, L. ; Giot, L. ; Graves, K. ; Guillon, B. ; Henaff, D. ; Hosseini, B. ; Jenzer, S. ; Kalcheva, S. ; Kalousis, L.N. ; Keloth, R. ; Koch, L. ; Labare, M. ; Lehaut, G. ; Manley, S. ; Manzanillas, L. ; Mermans, J. ; Michiels, I. ; Monteil, S. ; Moortgat, C. ; Newbold, D. ; Pestel, V. ; Petridis, K. ; Piñera, I. ; Popescu, L. ; Roy, N. ; Ryckbosch, D. ; Ryder, N. ; Saunders, D. ; Schune, M.-H. ; Rejeb Sfar, H. ; Simard, L. ; Vacheret, A. ; Vandierendonck, G. ; Van Dyck, S. ; Van Mulders, P. ; van Remortel, N. ; Vercaemer, S. ; Verstraeten, M. ; Viaud, B. ; Weber, A. ; Yeresko, M. ; Yermia, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-3410e9be46aca91811e6381961e7cfe5e82ca9e1b0687971edca75c7edae31d93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>High Energy Physics - Experiment</topic><topic>Instrumentation and Detectors</topic><topic>ML-EM method</topic><topic>Physics</topic><topic>Positron signal reconstruction</topic><topic>SoLid detector</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abreu, Y.</creatorcontrib><creatorcontrib>Amhis, Y.</creatorcontrib><creatorcontrib>Arnold, L.</creatorcontrib><creatorcontrib>Barber, G.</creatorcontrib><creatorcontrib>Beaumont, W.</creatorcontrib><creatorcontrib>Binet, S.</creatorcontrib><creatorcontrib>Bolognino, I.</creatorcontrib><creatorcontrib>Bongrand, M.</creatorcontrib><creatorcontrib>Borg, J.</creatorcontrib><creatorcontrib>Boursette, D.</creatorcontrib><creatorcontrib>Buridon, V.</creatorcontrib><creatorcontrib>Castle, B.C.</creatorcontrib><creatorcontrib>Chanal, H.</creatorcontrib><creatorcontrib>Clark, K.</creatorcontrib><creatorcontrib>Coupé, B.</creatorcontrib><creatorcontrib>Crochet, P.</creatorcontrib><creatorcontrib>Cussans, D.</creatorcontrib><creatorcontrib>De Roeck, A.</creatorcontrib><creatorcontrib>Durand, D.</creatorcontrib><creatorcontrib>Durkin, T.</creatorcontrib><creatorcontrib>Fallot, M.</creatorcontrib><creatorcontrib>Galbinski, D.</creatorcontrib><creatorcontrib>Gallego, S.</creatorcontrib><creatorcontrib>Ghys, L.</creatorcontrib><creatorcontrib>Giot, L.</creatorcontrib><creatorcontrib>Graves, K.</creatorcontrib><creatorcontrib>Guillon, B.</creatorcontrib><creatorcontrib>Henaff, D.</creatorcontrib><creatorcontrib>Hosseini, B.</creatorcontrib><creatorcontrib>Jenzer, S.</creatorcontrib><creatorcontrib>Kalcheva, S.</creatorcontrib><creatorcontrib>Kalousis, L.N.</creatorcontrib><creatorcontrib>Keloth, R.</creatorcontrib><creatorcontrib>Koch, L.</creatorcontrib><creatorcontrib>Labare, M.</creatorcontrib><creatorcontrib>Lehaut, G.</creatorcontrib><creatorcontrib>Manley, S.</creatorcontrib><creatorcontrib>Manzanillas, L.</creatorcontrib><creatorcontrib>Mermans, J.</creatorcontrib><creatorcontrib>Michiels, I.</creatorcontrib><creatorcontrib>Monteil, S.</creatorcontrib><creatorcontrib>Moortgat, C.</creatorcontrib><creatorcontrib>Newbold, D.</creatorcontrib><creatorcontrib>Pestel, V.</creatorcontrib><creatorcontrib>Petridis, K.</creatorcontrib><creatorcontrib>Piñera, I.</creatorcontrib><creatorcontrib>Popescu, L.</creatorcontrib><creatorcontrib>Roy, N.</creatorcontrib><creatorcontrib>Ryckbosch, D.</creatorcontrib><creatorcontrib>Ryder, N.</creatorcontrib><creatorcontrib>Saunders, D.</creatorcontrib><creatorcontrib>Schune, M.-H.</creatorcontrib><creatorcontrib>Rejeb Sfar, H.</creatorcontrib><creatorcontrib>Simard, L.</creatorcontrib><creatorcontrib>Vacheret, A.</creatorcontrib><creatorcontrib>Vandierendonck, G.</creatorcontrib><creatorcontrib>Van Dyck, S.</creatorcontrib><creatorcontrib>Van Mulders, P.</creatorcontrib><creatorcontrib>van Remortel, N.</creatorcontrib><creatorcontrib>Vercaemer, S.</creatorcontrib><creatorcontrib>Verstraeten, M.</creatorcontrib><creatorcontrib>Viaud, B.</creatorcontrib><creatorcontrib>Weber, A.</creatorcontrib><creatorcontrib>Yeresko, M.</creatorcontrib><creatorcontrib>Yermia, F.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abreu, Y.</au><au>Amhis, Y.</au><au>Arnold, L.</au><au>Barber, G.</au><au>Beaumont, W.</au><au>Binet, S.</au><au>Bolognino, I.</au><au>Bongrand, M.</au><au>Borg, J.</au><au>Boursette, D.</au><au>Buridon, V.</au><au>Castle, B.C.</au><au>Chanal, H.</au><au>Clark, K.</au><au>Coupé, B.</au><au>Crochet, P.</au><au>Cussans, D.</au><au>De Roeck, A.</au><au>Durand, D.</au><au>Durkin, T.</au><au>Fallot, M.</au><au>Galbinski, D.</au><au>Gallego, S.</au><au>Ghys, L.</au><au>Giot, L.</au><au>Graves, K.</au><au>Guillon, B.</au><au>Henaff, D.</au><au>Hosseini, B.</au><au>Jenzer, S.</au><au>Kalcheva, S.</au><au>Kalousis, L.N.</au><au>Keloth, R.</au><au>Koch, L.</au><au>Labare, M.</au><au>Lehaut, G.</au><au>Manley, S.</au><au>Manzanillas, L.</au><au>Mermans, J.</au><au>Michiels, I.</au><au>Monteil, S.</au><au>Moortgat, C.</au><au>Newbold, D.</au><au>Pestel, V.</au><au>Petridis, K.</au><au>Piñera, I.</au><au>Popescu, L.</au><au>Roy, N.</au><au>Ryckbosch, D.</au><au>Ryder, N.</au><au>Saunders, D.</au><au>Schune, M.-H.</au><au>Rejeb Sfar, H.</au><au>Simard, L.</au><au>Vacheret, A.</au><au>Vandierendonck, G.</au><au>Van Dyck, S.</au><au>Van Mulders, P.</au><au>van Remortel, N.</au><au>Vercaemer, S.</au><au>Verstraeten, M.</au><au>Viaud, B.</au><au>Weber, A.</au><au>Yeresko, M.</au><au>Yermia, F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The CCube reconstruction algorithm for the SoLid experiment</atitle><jtitle>Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment</jtitle><date>2024-09-01</date><risdate>2024</risdate><volume>1066</volume><spage>169628</spage><pages>169628-</pages><artnum>169628</artnum><issn>0168-9002</issn><eissn>1872-9576</eissn><abstract>The SoLid experiment is a very-short-baseline experiment aimed at searching for nuclear-reactor-produced active-to-sterile antineutrino oscillations. The detection principle is based on the pairing of two types of solid scintillators: polyvinyl toluene and 6LiF:ZnS(Ag), which is a new technology used in this field of Physics. In addition to good neutron-gamma discrimination, this setup allows the detector to be highly segmented (the basic detection unit is a 5 cm side cube). High segmentation provides numerous advantages, including the precise location of inverse beta decay (IBD) products, the derivation of the antineutrino energy estimator based on the isolated positron energy, and a powerful background reduction tool based on the topological signature of the signal. Finally, the system is read out by a network of wavelength-shifting (WLS) fibres coupled to a photodetectors. This paper describes the design of the reconstruction algorithm that allows maximum use of the granularity of the detector. The goal of the algorithm is to convert the output of the optical-fibre readout to the list of the detection units from which it originated. This paper provides a performance comparison for three methods and concludes with a choice of the baseline approach for the experiment.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.nima.2024.169628</doi><orcidid>https://orcid.org/0009-0008-6372-0976</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0168-9002 |
ispartof | Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2024-09, Vol.1066, p.169628, Article 169628 |
issn | 0168-9002 1872-9576 |
language | eng |
recordid | cdi_hal_primary_oai_HAL_hal_04558900v1 |
source | Access via ScienceDirect (Elsevier) |
subjects | High Energy Physics - Experiment Instrumentation and Detectors ML-EM method Physics Positron signal reconstruction SoLid detector |
title | The CCube reconstruction algorithm for the SoLid experiment |
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