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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...
Autores principales: | , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2020
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Acceso en línea: | https://dx.doi.org/10.1117/12.2561731 http://cds.cern.ch/record/2750409 |
_version_ | 1780969115652980736 |
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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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