Pyxel: the collaborative detection simulation framework

Prod’homme, Thibaut; Lemmel, Frederic; Arko, Matej; Serra, Benoit; George, E. M.; Biancalani, Enrico; Smit, Hans; Lucsanyi, David

doi:10.1117/12.2561731

Cited by 6 publications

(8 citation statements)

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“…If a user wants to run multiple pipelines, each with slightly different argument values, observation mode has that capability. For more information on Pyxel and its running modes, see [9][10][11] .…”

Section: Model Calibration Using Pyxelmentioning

confidence: 99%

Calibrating and correcting charge transfer inefficiency in CCDs using Pyxel

Kelman

Prod’homme

Skottfelt³

et al. 2022

X-Ray, Optical, and Infrared Detectors for Astronomy X

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Section: Model Calibration Using Pyxelmentioning

confidence: 99%

Calibrating and correcting charge transfer inefficiency in CCDs using Pyxel

Kelman

Prod’homme

Skottfelt³

et al. 2022

X-Ray, Optical, and Infrared Detectors for Astronomy X

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“…Pyxel has several built-in CTI models, one of which being Gaia's CDM model. 16 Pyxel was also developed with several different operating modes, based on the requirements of the user. One of these modes is a calibration mode which optimises a model or detector parameters to best-fit a userdefined target dataset.…”

Section: Pyxelmentioning

confidence: 99%

“…This was how CDM was originally designed to be run but with the bonus of built-in optimisation algorithms to find the best matching results. 16 Calibration mode requires input and target datasets, and parameters are found that can distort the input data to best match the target data.…”

Section: Pyxelmentioning

confidence: 99%

Modelling charge transfer inefficiency in Gaia CCDs with in-flight and on-ground data

Ahmed¹,

Hall

Skottfelt³

et al. 2022

X-Ray, Optical, and Infrared Detectors for Astronomy X

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The European Space Agency's Gaia spacecraft was launched in 2013 with the aim of making the largest and most precise map of the Milky Way by taking measurements of almost one billion astronomical objects. It has a focal plane that consists of 106 Charge-Coupled Devices (CCDs), custom designed by Teledyne e2v to help fulfil its objectives. These detectors make measurements of positions, velocities, parallaxes, and other physical properties of any objects, with a sufficiently bright enough magnitude, that pass through their field of view. Operating in space means that the Gaia CCDs have been subjected to radiation damage, both ionizing and non-ionizing in nature, in orbit from predominantly solar radiation. This radiation-induced damage leads to the formation of trap defects in the CCD silicon lattice which can trap electrons during readout leading to the increase of charge transfer inefficiency (CTI) and a reduction in the quality of the returned science data. From previous analysis of in-flight data, the degradation of the CCDs, measured from an increase in CTI, has been calculated to be less that that predicted from pre-flight models and on-ground tests. In this study, in-flight and on-ground data is modelled so that the trap landscapes can be further investigated. This was achieved using a charge transfer model, the Charge Distortion Model (CDM), integrated in the Pyxel detector simulation toolkit. Other simulations, namely C3TM, are used in conjunction with the results from Pyxel to obtain a more thorough understanding of the trap landscape causing the observed CTI effects.

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“…To efficiently provide simulations on demand for the assessment and design study of the MARVEL spectroscopic extraction pipeline we here present the open-source MARVEL spectrum simulator, MARVELsim 2 . This software tool builds on the heritage of two novel open source software packages called PyEchelle 3 [15] and Pyxel 4 [16]. PyEchelle is fast and generic spectrum simulator (updated from its predecessor Echelle++), and is used to generate synthetic 2D object and calibration spectra.…”

Section: Synthetic Input Spectramentioning

confidence: 99%

MARVEL: extracting high-precision radial velocities of exoplanet hosts

Jannsen¹,

Seynaeve²,

Stürmer³

et al. 2022

Observatory Operations: Strategies, Processes, and Systems IX

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The future ESA space mission PLATO aims to detect thousands of exoplanets, including Earth-like planets, and constrain their radius and mean density. To achieve this goal, the space based photometric observations are not enough but need to be complemented by ground-based observations to measure the Radial Velocity (RV) of the exoplanet host stars. MARVEL is such a facility consisting of four 80 cm telescope linked through optical fibers to a single high-resolution échelle spectrograph, designed for high-precision RV measurements with a uncertainty of ∼ 1 m s −1 . MARVEL is build by a consortium led by the KU Leuven with contributions from the UK, Austria, Australia, Sweden, Denmark, and Spain, and will be commissioned in 2023. To reach such high RV precision, not only ultra-stable hardware is currently being developed, but also a state-of-the-art data processing pipeline for which we present the first results in this poster.

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Pyxel: the collaborative detection simulation framework

Cited by 6 publications

References 0 publications

Calibrating and correcting charge transfer inefficiency in CCDs using Pyxel

Calibrating and correcting charge transfer inefficiency in CCDs using Pyxel

Modelling charge transfer inefficiency in Gaia CCDs with in-flight and on-ground data

MARVEL: extracting high-precision radial velocities of exoplanet hosts

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