Pyxel: a novel and multi-purpose Python-based framework for imaging detector simulation

Lucsanyi, David; Prod’homme, Thibaut; Smit, Hans; Lemmel, Frederic; Crouzet, Pierre-Elie; Verhoeve, P.; Shortt, Brian

doi:10.1117/12.2314047

Cited by 4 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As part of the ELT Working Groups, we are working together with colleagues at ESA on the PyXel detector simulator. 6 This open-source python-based detector simulation framework allows anyone to implement models of various detector effects and apply them to the simulation pipeline. The synthetic readouts produced by the simulation can be used as the last step in the instrument numerical models to create realistic detector readouts whilst changing the parameters of various detector effect models (see an example in Prod'homme et al, these proceedings 6 ).…”

Section: Modelingmentioning

confidence: 99%

“…6 This open-source python-based detector simulation framework allows anyone to implement models of various detector effects and apply them to the simulation pipeline. The synthetic readouts produced by the simulation can be used as the last step in the instrument numerical models to create realistic detector readouts whilst changing the parameters of various detector effect models (see an example in Prod'homme et al, these proceedings 6 ). This allows astronomers to determine which detector effects will have the biggest impact on their science, as well as provides us with information about how well an effect needs to be characterized to be corrected for in a science exposure.…”

Section: Modelingmentioning

confidence: 99%

“…In sections 4 and 5 we report briefly on the current design of the cold detector electronics and the development of the next generation of ESO's detector controller, the NGCII. The test program is described in section 6 and our collaborative work on the detector simulation framework, Pyxel, 5,6 is described in section 7.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detector Systems Engineering for Extremely Large Instruments

George,

Bezawada,

Ives

et al. 2020

Preprint

View full text Add to dashboard Cite

The scientific detector systems for the ESO ELT first-light instruments, HARMONI, MICADO, and METIS, together will require 27 science detectors: seventeen 2.5 µm cutoff H4RG-15 detectors, four 4K x 4K 231-84 CCDs, five 5.3 µm cutoff H2RG detectors, and one 13.5 µm cutoff GEOSNAP detector. This challenging program of scientific detector system development covers everything from designing and producing state-of-the-art detector control and readout electronics, to developing new detector characterization techniques in the lab, to performance modeling and final system verification. We report briefly on the current design of these detector systems and developments underway to meet the challenging scientific performance goals of the ELT instruments.

show abstract

Section: Modelingmentioning

confidence: 99%

Section: Modelingmentioning

confidence: 99%

See 1 more Smart Citation

Detector Systems Engineering for Extremely Large Instruments

George,

Bezawada,

Ives

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

Properties and characteristics of the Nancy Grace Roman Space Telescope H4RG-10 detectors

Mosby

Rauscher

Bennett

et al. 2020

J. Astron. Telesc. Instrum. Syst.

View full text Add to dashboard Cite

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

Arko

Prod’homme

Lemmel

et al. 2022

J. Astron. Telesc. Instrum. Syst.

View full text Add to dashboard Cite

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.

show abstract

Pyxel: a novel and multi-purpose Python-based framework for imaging detector simulation

Cited by 4 publications

References 2 publications

Detector Systems Engineering for Extremely Large Instruments

Detector Systems Engineering for Extremely Large Instruments

Properties and characteristics of the Nancy Grace Roman Space Telescope H4RG-10 detectors

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

Contact Info

Product

Resources

About