Presentation + Paper
16 July 2018 Pyxel: a novel and multi-purpose Python-based framework for imaging detector simulation
Author Affiliations +
Abstract
Pyxel is a novel, open-source and Python-based framework designed to host and pipeline any type of models simulating detector effects such as cosmic rays, detector PSF, various noise sources, Charge Transfer Inefficiency or persistence on images produced by CCD or CMOS-based imaging detectors. It is currently under development at the European Space Agency with the goal of release it to the broader detector scientist community. We present here the architecture of the framework, how to integrate new models in it and give a few examples of its current simulation capabilities.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Lucsanyi, Thibaut Prod'homme, Hans Smit, Frederic Lemmel, Pierre-Elie Crouzet, Peter Verhoeve, and Brian Shortt "Pyxel: a novel and multi-purpose Python-based framework for imaging detector simulation", Proc. SPIE 10709, High Energy, Optical, and Infrared Detectors for Astronomy VIII, 107091A (16 July 2018); https://doi.org/10.1117/12.2314047
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Sensors

Data modeling

Electro optical modeling

CCD image sensors

Charge-coupled devices

Photons

Image sensors

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