Performance of the image persistence model for Euclid infrared detectors

Large-format infrared detectors are at the heart of major ground and space-based astronomical instruments, and the HgCdTe HxRG is the most widely used. The Near Infrared Spectrometer and Photometer (NISP) of the ESA’s Euclid mission launched in July 2023 hosts 16 H2RG detectors in the focal plane. Their performance relies heavily on the effect of image persistence, which results in residual images that can remain in the detector for a long time contaminating any subsequent observations. Deriving a precise model of image persistence is challenging due to the sensitivity of this effect to observation history going back hours or even days. Nevertheless, persistence removal is a critical part of image processing because it limits the accuracy of the derived cosmological parameters. We will present the empirical model of image persistence derived from ground characterization data, adapted to the Euclid observation sequence and compared with the data obtained during the in-orbit calibrations of the satellite.

Authors

Institutions

Publication Details

Published
2024-09-05
DOI
https://doi.org/10.1117/12.3014312
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance of the image persistence model for Euclid infrared detectors

G. Seidel, A. N. Sørensen, Evandro Balbi, D. Le Mignant et al.
CCD and CMOS Imaging Sensors
article

Performance of the image persistence model for Euclid infrared detectors

G. Seidel, A. N. Sørensen, Evandro Balbi, D. Le Mignant, C. Sirignano, F. Dal Corso, M. Trifoglio, M. Schirmer, Fulvio Laudisio, A.G Ferrari, N. Mauri, R. Barbier, J. F. Macías–Pérez, Y. Copin, A. Troja, J.J Diaz, V. Capobianco, L. Gabarra, R. Toledo-Moreo, I Lloro, L. Valenziano, Franck Ducret, Simon Conseil, A. Caillat, E. Romelli, L. Caillat, J. Marpaud, G. Morgante, I Risso, W. Gillard, C. Padilla Aranda, S. Ventura, F. Fornari, A. Hornstrup, E. Medinaceli, Éric Prieto, S. Di Domizio, R. Travaglini, A. Balestra, K. Jahnkę, A. Secroun, M Jhabvala, S Anselmi, S. Ligori, P. Lagier, F. Grupp, R. Farinelli, F. Giacomini, Hyung Cho, E. Franceschi, Jean-Christophe Barrière, C. Bodendorf, C. Vescovi, S. Dusini, B. Garilli, Cédric Thizy, M. Carle, N. Auricchio, M. Frailis, Ranga‐Ram Chary, K. Paterson, L. Corcione, J. Steinwagner, P. B. Lilje, M. Scodeggio, G. Polenta, R. da Silva, F. Cogato, Elisa Lentini, Lucas Sauniere, S. Tosi, L. Stančo, James Davies, O. Krause, Gérard Smadja, Gemma Testera, Ralf Kohley, Donato Di Ferdinando, Felix Hormuth, Stefano Davini, Julien Zoubian, Francesca Passalacqua, Warren Holmes, M. Tenti, Vito Conforti, P Battaglia, B. Kubik, Fluvio Gianotti, Patrick Stassi, Benoît Serra, R. Casas, Oscar Tubio Araujo, Enrico Borsato, Jean-Christophe Salvignol, C Valieri, C Colodro-Conde, A. Costille, S. Ferriol, Mathieu Niclas, Gaia Delucchi, Michel Berthé, A. Renzi, A. Derosa
article en

Abstract

Large-format infrared detectors are at the heart of major ground and space-based astronomical instruments, and the HgCdTe HxRG is the most widely used. The Near Infrared Spectrometer and Photometer (NISP) of the ESA’s Euclid mission launched in July 2023 hosts 16 H2RG detectors in the focal plane. Their performance relies heavily on the effect of image persistence, which results in residual images that can remain in the detector for a long time contaminating any subsequent observations. Deriving a precise model of image persistence is challenging due to the sensitivity of this effect to observation history going back hours or even days. Nevertheless, persistence removal is a critical part of image processing because it limits the accuracy of the derived cosmological parameters. We will present the empirical model of image persistence derived from ground characterization data, adapted to the Euclid observation sequence and compared with the data obtained during the in-orbit calibrations of the satellite.

California Institute of Technology (US), Goddard Space Flight Center (US), Institute of Space Sciences (ES), Jet Propulsion Laboratory (US), University of Padua (IT), University of California, Los Angeles (US), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Trieste Astronomical Observatory (IT), University of Oxford (GB), Astrophysique, Instrumentation et Modélisation (FR), Janssen (France) (FR), Laboratoire Univers et Théories (FR), Max Planck Institute for Extraterrestrial Physics (DE), Institut d'Estudis Espacials de Catalunya (ES), European Space Astronomy Centre (ES), Centre de physique des particules de Marseille (FR), Laboratoire d’Astrophysique de Marseille (FR), Istituto Nazionale di Fisica Nucleare, Sezione di Padova (IT), Osservatorio Astrofisico di Torino (IT), Max Planck Institute for Astronomy (DE), Château Gombert (FR), Université Bourgogne Franche-Comté (FR), Istituto Nazionale di Fisica Nucleare, Sezione di Genova (IT), CEA Paris-Saclay (FR), Laboratoire de Physique Subatomique et de Cosmologie (FR), Istituto Nazionale di Fisica Nucleare, Sezione di Bologna (IT), Institute of Nuclear Physics of Lyon (FR), Osservatorio Astronomico di Padova (IT), Institut de Recherche sur les Lois Fondamentales de l'Univers (FR), Infrared Processing and Analysis Center (US), Osservatorio di Astrofisica e Scienza dello Spazio, Institut de Physique des 2 Infinis de Lyon (FR), Ludwig-Maximilians-Universität München (DE), University of Genoa (IT), National Institute for Astrophysics (IT), University of Bologna (IT), Universitat Politècnica de Catalunya (ES), Technical University of Denmark (DK)
National Aeronautics and Space Administration, Ministerio de Ciencia, Innovación y Universidades, European Space Agency, Magyar Tudományos Akadémia, Agenzia Spaziale Italiana, National Astronomical Observatory of Japan, Agenția Spațială Română, Norsk Romsenter, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 88%
CCD and CMOS Imaging Sensors
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.