Particle detection performance and Geant4 simulation with low-cost CMOS technology

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We evaluate the performance of an Omnivision OV5647 CMOS image sensor (5 Mp) for detecting radiation from Sr90 and Cs137 sources. Our experimental setup uses a Raspberry Pi 3 mini-computer for data acquisition, with image processing using Python and OpenCV libraries. We specify the necessary setting...

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Detalles Bibliográficos
Autores: Bonnett Del Alamo, M., Helaconde, R., Soncco, C., Bazo, José, Gago, A.M.
Formato: artículo
Fecha de Publicación:2025
Institución:Pontificia Universidad Católica del Perú
Repositorio:PUCP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.pucp.edu.pe:20.500.14657/203931
Enlace del recurso:http://hdl.handle.net/20.500.14657/203931
https://doi.org/10.1088/1748-0221/20/06/P06004
Nivel de acceso:acceso abierto
Materia:Partículas (Física nuclear)
Detectores
CMOS (Electrónica)
Física--Simulación con computadoras
https://purl.org/pe-repo/ocde/ford#1.03.00
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spelling Bonnett Del Alamo, M.Helaconde, R.Soncco, C.Bazo, JoséGago, A.M.Pontificia Universidad Católica del Perú. Departamento de Ciencias. Sección Física2025-07-08T16:33:44Z2025-06http://hdl.handle.net/20.500.14657/203931https://doi.org/10.1088/1748-0221/20/06/P06004We evaluate the performance of an Omnivision OV5647 CMOS image sensor (5 Mp) for detecting radiation from Sr90 and Cs137 sources. Our experimental setup uses a Raspberry Pi 3 mini-computer for data acquisition, with image processing using Python and OpenCV libraries. We specify the necessary settings to convert a standard camera into a particle detector sensitive to electrons and photons, including a two-step background filtering procedure. In addition, we implement the first detailed Geant4 simulation that describes the layered geometry and material composition of a commercial CMOS sensor along with the radioactive sources. To enhance the simulation, we include an algorithm for charge diffusion and conversion of the energy deposited by electrons and photons into ADC counts. Our measurements are presented in terms of cluster size, the maximum ADC signal per cluster, and the number of clusters as a function of distance. We find a good agreement between the experimental data and simulation for all these observables and we can reproduce the correlation between cluster size and maximum ADC signal per cluster. Thus this simulation, cross-checked with data, can be used to test the feasibility of further particle detection ideas without the need to implement an experimental setup. However, the sensor has limited primary energy resolution and is thus unable to distinguish between different radioactive sources. Nevertheless, given the accurate measurement of energy deposition, the sensor, once calibrated, is suitable for dosimetric measurements of source activities.application/pdfengSpringer NatureUSurn:issn:1748-0221info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0Journal of instrumentation; Vol. 20, no. 6 (Jun. 2025)reponame:PUCP-Institucionalinstname:Pontificia Universidad Católica del Perúinstacron:PUCPPartículas (Física nuclear)DetectoresCMOS (Electrónica)Física--Simulación con computadorashttps://purl.org/pe-repo/ocde/ford#1.03.00Particle detection performance and Geant4 simulation with low-cost CMOS technologyinfo:eu-repo/semantics/articleArtículoORIGINALBonnett_Del_Alamo_2025_J._Inst._20_P06004.pdfTexto completoapplication/pdf1782066https://repositorio.pucp.edu.pe/bitstreams/d0d453e1-b739-4557-b0c7-b040ed707e32/downloadc749f0d1b4625cff2877148eb7e33e7dMD54trueAnonymousREADTEXTBonnett_Del_Alamo_2025_J._Inst._20_P06004.pdf.txtBonnett_Del_Alamo_2025_J._Inst._20_P06004.pdf.txtExtracted texttext/plain62397https://repositorio.pucp.edu.pe/bitstreams/11ab4c29-91de-4963-84f6-5830d39d8ce8/download774a1594f5f308e7906f3209fd5ad0c1MD52falseAnonymousREADTHUMBNAILBonnett_Del_Alamo_2025_J._Inst._20_P06004.pdf.jpgBonnett_Del_Alamo_2025_J._Inst._20_P06004.pdf.jpgIM Thumbnailimage/jpeg30326https://repositorio.pucp.edu.pe/bitstreams/d8f81747-4813-4bd0-96cc-074fa95d2898/downloadca79ec5df24b33d884b773c05d34ff9eMD55falseAnonymousREAD20.500.14657/203931oai:repositorio.pucp.edu.pe:20.500.14657/2039312025-07-30 10:19:03.388http://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.pucp.edu.peRepositorio Institucional de la PUCPrepositorio@pucp.pe
dc.title.en_US.fl_str_mv Particle detection performance and Geant4 simulation with low-cost CMOS technology
title Particle detection performance and Geant4 simulation with low-cost CMOS technology
spellingShingle Particle detection performance and Geant4 simulation with low-cost CMOS technology
Bonnett Del Alamo, M.
Partículas (Física nuclear)
Detectores
CMOS (Electrónica)
Física--Simulación con computadoras
https://purl.org/pe-repo/ocde/ford#1.03.00
title_short Particle detection performance and Geant4 simulation with low-cost CMOS technology
title_full Particle detection performance and Geant4 simulation with low-cost CMOS technology
title_fullStr Particle detection performance and Geant4 simulation with low-cost CMOS technology
title_full_unstemmed Particle detection performance and Geant4 simulation with low-cost CMOS technology
title_sort Particle detection performance and Geant4 simulation with low-cost CMOS technology
author Bonnett Del Alamo, M.
author_facet Bonnett Del Alamo, M.
Helaconde, R.
Soncco, C.
Bazo, José
Gago, A.M.
author_role author
author2 Helaconde, R.
Soncco, C.
Bazo, José
Gago, A.M.
author2_role author
author
author
author
dc.contributor.affiliation.none.fl_str_mv Pontificia Universidad Católica del Perú. Departamento de Ciencias. Sección Física
dc.contributor.author.fl_str_mv Bonnett Del Alamo, M.
Helaconde, R.
Soncco, C.
Bazo, José
Gago, A.M.
dc.subject.en_US.fl_str_mv Partículas (Física nuclear)
Detectores
CMOS (Electrónica)
Física--Simulación con computadoras
topic Partículas (Física nuclear)
Detectores
CMOS (Electrónica)
Física--Simulación con computadoras
https://purl.org/pe-repo/ocde/ford#1.03.00
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.03.00
description We evaluate the performance of an Omnivision OV5647 CMOS image sensor (5 Mp) for detecting radiation from Sr90 and Cs137 sources. Our experimental setup uses a Raspberry Pi 3 mini-computer for data acquisition, with image processing using Python and OpenCV libraries. We specify the necessary settings to convert a standard camera into a particle detector sensitive to electrons and photons, including a two-step background filtering procedure. In addition, we implement the first detailed Geant4 simulation that describes the layered geometry and material composition of a commercial CMOS sensor along with the radioactive sources. To enhance the simulation, we include an algorithm for charge diffusion and conversion of the energy deposited by electrons and photons into ADC counts. Our measurements are presented in terms of cluster size, the maximum ADC signal per cluster, and the number of clusters as a function of distance. We find a good agreement between the experimental data and simulation for all these observables and we can reproduce the correlation between cluster size and maximum ADC signal per cluster. Thus this simulation, cross-checked with data, can be used to test the feasibility of further particle detection ideas without the need to implement an experimental setup. However, the sensor has limited primary energy resolution and is thus unable to distinguish between different radioactive sources. Nevertheless, given the accurate measurement of energy deposition, the sensor, once calibrated, is suitable for dosimetric measurements of source activities.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-07-08T16:33:44Z
dc.date.issued.fl_str_mv 2025-06
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dc.identifier.doi.none.fl_str_mv https://doi.org/10.1088/1748-0221/20/06/P06004
url http://hdl.handle.net/20.500.14657/203931
https://doi.org/10.1088/1748-0221/20/06/P06004
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dc.publisher.es_ES.fl_str_mv Springer Nature
dc.publisher.country.none.fl_str_mv US
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