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Pyxel: the collaborative detection simulation framework

Pyxel is a novel python tool for end-to-end detection chain simulation i.e. from detector optical effects to readout electronics effects. It is an easy-to-use framework to host and pipeline any detector effect model. It is suited for simulating both Charge-Coupled Devices, CMOS Image Sensors and Mer...

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Detalles Bibliográficos
Autores principales: Prod'homme, Thibaut, Lemmel, Frédéric, Arko, Matej, Serra, Benoit, George, Elizabeth, Biancalani, Enrico, Smit, Hans, Lucsanyi, David
Lenguaje:eng
Publicado: 2020
Acceso en línea:https://dx.doi.org/10.1117/12.2561731
http://cds.cern.ch/record/2750409
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author Prod'homme, Thibaut
Lemmel, Frédéric
Arko, Matej
Serra, Benoit
George, Elizabeth
Biancalani, Enrico
Smit, Hans
Lucsanyi, David
author_facet Prod'homme, Thibaut
Lemmel, Frédéric
Arko, Matej
Serra, Benoit
George, Elizabeth
Biancalani, Enrico
Smit, Hans
Lucsanyi, David
author_sort Prod'homme, Thibaut
collection CERN
description Pyxel is a novel python tool for end-to-end detection chain simulation i.e. from detector optical effects to readout electronics effects. It is an easy-to-use framework to host and pipeline any detector effect model. It is suited for simulating both Charge-Coupled Devices, CMOS Image Sensors and Mercury Cadmium Telluride hybridized arrays. It is conceived as a collaborative tool to promote reusability, knowledge transfer, and reliability in the instrumentation community. We will provide a demonstration of Pyxel’s basic principles, describe newly added capabilities and the main models already implemented, and give examples of more advanced applications.
id oai-inspirehep.net-1837397
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
record_format invenio
spelling oai-inspirehep.net-18373972021-02-18T15:38:43Zdoi:10.1117/12.2561731http://cds.cern.ch/record/2750409engProd'homme, ThibautLemmel, FrédéricArko, MatejSerra, BenoitGeorge, ElizabethBiancalani, EnricoSmit, HansLucsanyi, DavidPyxel: the collaborative detection simulation frameworkPyxel is a novel python tool for end-to-end detection chain simulation i.e. from detector optical effects to readout electronics effects. It is an easy-to-use framework to host and pipeline any detector effect model. It is suited for simulating both Charge-Coupled Devices, CMOS Image Sensors and Mercury Cadmium Telluride hybridized arrays. It is conceived as a collaborative tool to promote reusability, knowledge transfer, and reliability in the instrumentation community. We will provide a demonstration of Pyxel’s basic principles, describe newly added capabilities and the main models already implemented, and give examples of more advanced applications.oai:inspirehep.net:18373972020
spellingShingle Prod'homme, Thibaut
Lemmel, Frédéric
Arko, Matej
Serra, Benoit
George, Elizabeth
Biancalani, Enrico
Smit, Hans
Lucsanyi, David
Pyxel: the collaborative detection simulation framework
title Pyxel: the collaborative detection simulation framework
title_full Pyxel: the collaborative detection simulation framework
title_fullStr Pyxel: the collaborative detection simulation framework
title_full_unstemmed Pyxel: the collaborative detection simulation framework
title_short Pyxel: the collaborative detection simulation framework
title_sort pyxel: the collaborative detection simulation framework
url https://dx.doi.org/10.1117/12.2561731
http://cds.cern.ch/record/2750409
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