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Arko, Matej; Prod’homme, Thibaut; Lemmel, Frédéric; Serra, Benoit; George, Elizabeth; Kelman, Bradley; Pichon, Thibault; Biancalani, Enrico and Gilbert, James
(2022).
DOI: https://doi.org/10.1117/1.JATIS.8.4.048002
Abstract
Detector modeling is becoming more and more critical for the development of new instruments in scientific space missions and ground-based experiments. Modeling tools are often developed from scratch by each individual project and not necessarily shared for reuse by a wider community. To foster knowledge transfer, reusability, and reliability in the instrumentation community, we developed Pyxel, a framework for the simulation of scientific detectors and instruments. Pyxel is an open-source and collaborative project, based on Python, developed as an easy-to-use tool that can host and pipeline any kind of detector effect model. Recently, Pyxel has achieved a new milestone: the public release and launch of version 1.0, which simplified third-party contributions and improved ease of use even further. Since its launch, Pyxel has been experiencing a growing user community and is being used to simulate a variety of detectors. We give a tour of Pyxel’s version 1.0 changes and new features, including a new interface, parallel computing, and new detectors and models. We continue with an example of using Pyxel as a tool for model optimization and calibration. Finally, we describe an example of how Pyxel and its features can be used to develop a full-scale end-to-end instrument simulator.
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About
- Item ORO ID
- 88121
- Item Type
- Journal Item
- ISSN
- 2329-4124
- Keywords
- detector simulation; instrument simulation; imaging sensors; modelling; Python; charge-coupled device; complementary metal oxide semiconductor; calibration
- Academic Unit or School
- Faculty of Science, Technology, Engineering and Mathematics (STEM)
- Research Group
- Centre for Electronic Imaging (CEI)
- Copyright Holders
- © 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)
- Depositing User
- ORO Import