A smartphone-based arbitrary scene projector for detector testing and instrument performance evaluation

Prod’homme, Thibaut; Liebing, P.; Verhoeve, P.; Menyaylov, Ilya; Lemmel, Frederic; Smit, Hans; Blommaert, Sander; Breeveld, Dennis; Shortt, Brian

doi:10.1117/12.2561760

“…ESA's Science payload validation section hosts a laboratory for detector characterisation. The laboratory is used to determine the performance of detectors in a representative environment (temperature, operating point, and radiation), validate the performance results obtained in other facilities (laboratories and companies), and carry out very specific experimental tests tailored to mission needs (e.g., scene 1 and subpixel spot projection, 2 irradiation at operating temperature, [3][4][5] persistence, 6 and electromagnetic compatibility). The interpretation of test results as well as the transfer of knowledge from lab to mission performance very often requires modeling and simulations.…”

Section: Introductionmentioning

confidence: 99%

Pyxel 1.0: an open source Python framework for detector and end-to-end instrument simulation

Arko¹,

Prod’homme²,

Lemmel³

et al. 2022

Modeling, Systems Engineering, and Project Management for Astronomy X

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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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“…ESA’s Science payload validation section hosts a laboratory for detector characterisation. The laboratory is used to determine the performance of detectors in a representative environment (temperature, operating point, and radiation), validate the performance results obtained in other facilities (laboratories and companies), and carry out very specific experimental tests tailored to mission needs (e.g., scene 1 and subpixel spot projection, 2 irradiation at operating temperature, 3 – 5 persistence, 6 and electromagnetic compatibility). The interpretation of test results as well as the transfer of knowledge from lab to mission performance very often requires modeling and simulations.…”

Section: Introductionmentioning

confidence: 99%

Pyxel 1.0: an open source Python framework for detector and end-to-end instrument simulation

Arko

¹

,

Prod’homme

²

,

Lemmel

³

et al. 2022

J. Astron. Telesc. Instrum. Syst.

4

0

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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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“…Both spectrometers have CCDs in their focal planes. 2,3 As reported for a number of ESA missions using CCDs either in operation or currently in development (e.g., Sentinel-4, 4 Sentinel-5, HST, 5 XMM, Gaia, [6][7][8] Euclid, [9][10][11] ), radiation effects may significantly impact their scientific performance if not properly studied and accounted for in the data processing. Indeed high-energy particles impacting the detectors result in the creation of CCD silicon lattice defects.…”

Section: Introductionmentioning

confidence: 99%

“…Figure11. Comparison of CTF measurements (dashed line) and CTF results from the simulation (solid line) for two different quadrants (CDG and BAF) and different signal levels, including data of the non-irradiated detector.…”

mentioning

confidence: 99%

Proton-induced degradation of charge transfer efficiency on FLEX CCD detectors: measurement and impact on instrument performances

Bernard¹,

Arko²,

Prod’homme³

et al. 2021

International Conference on Space Optics — ICSO 2020

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The exposure of Charge-Coupled Devices (CCD) to high-energy particles in space leads to a degradation of their performances. One of the observed mechanisms is the creation of defects in the CCD silicon lattice by displacement damage, inducing a reduction of the Charge Transfer Efficiency (CTE), i.e. the ability of the device to efficiently transfer the photo-induced charge to the read-out output node. Hence a reduction of the imaging quality of the detector. We present here a comparison of the modelled and measured optical quality of the FLEX CCD exposed to a high energy proton flux. The optical quality was directly measured on an irradiated flight representative device. A physical model of the detector, including an accurate modelling of the charge trapping dynamic, is used to generate synthetic scenes affected by CTE degradation from which the optical quality is assessed and compared to the measurement. Eventually the correlation of the model and the measurement will allow to accurately assess the performances of a detector exposed to space radiation environment.

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A smartphone-based arbitrary scene projector for detector testing and instrument performance evaluation

Cited by 4 publications

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Pyxel 1.0: an open source Python framework for detector and end-to-end instrument simulation

Pyxel 1.0: an open source Python framework for detector and end-to-end instrument simulation

Pyxel 1.0: an open source Python framework for detector and end-to-end instrument simulation

Proton-induced degradation of charge transfer efficiency on FLEX CCD detectors: measurement and impact on instrument performances

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