Result: The OMEGA-Py Python module: a complete and easy way to work with OMEGA/MEX observations

Title:
The OMEGA-Py Python module: a complete and easy way to work with OMEGA/MEX observations
Authors:
Stcherbinine, Aurélien, Langevin, Yves, Carter, John, Vincendon, Mathieu, Leseigneur, Yann, Barraud, Océane, Schmidt, Frédéric
Contributors:
Institut de recherche en astrophysique et planétologie (IRAP), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulouse (EPE UT), Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse), Institut d'astrophysique spatiale (IAS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), SYSTEME SOLAIRE - LATMOS, Laboratoire Atmosphères, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DLR Institut für Planetenforschung, Deutsches Zentrum für Luft- und Raumfahrt [Berlin] (DLR), Institut universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Université Paris-Saclay
Source:
EPSC-DPS Joint Meeting 2025, Sep 2025, Helsinki, Finland. ⟨10.5194/epsc-dps2025-1434⟩
Publisher Information:
CCSD, 2025.
Publication Year:
2025
Collection:
collection:INSU
collection:CNRS
collection:UNIV-AMU
collection:CNES
collection:LAM
collection:OMP
collection:OMP-IRAP
collection:LATMOS
collection:OSU-INSTITUT-PYTHEAS
collection:UVSQ
collection:UNIV-PARIS-SACLAY
collection:SORBONNE-UNIVERSITE
collection:SORBONNE-UNIV
collection:SU-SCIENCES
collection:UVSQ-UPSACLAY
collection:UNIVERSITE-PARIS-SACLAY
collection:SU-TI
collection:GS-PHYSIQUE
collection:INSTITUT-SCIENCES-LUMIERE
collection:ALLIANCE-SU
collection:UNIV-UT3
collection:UT3-TOULOUSEINP
collection:IAS
collection:SUPRA_GEOSCIENCES
collection:ORIGINES
Subject Terms:
[SDU]Sciences of the Universe [physics]
Subject Geographic:
Helsinki, Finland
Original Identifier:
HAL: hal-05279455
Document Type:
Conference conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.5194/epsc-dps2025-1434
DOI:
10.5194/epsc-dps2025-1434
Access URL:
https://hal.science/hal-05279455
https://hal.science/hal-05279455v1/document
https://hal.science/hal-05279455v1/file/EPSC-DPS2025-1434-print.pdf
Rights:
info:eu-repo/semantics/OpenAccess
URL: http://creativecommons.org/licenses/by/
Accession Number:
edshal.hal.05279455v1
Database:
HAL

Further Information

OMEGA-Py [1,2] is a Python 3 module dedicated to the scientific use of data provided by the Observatoire pour la Minéralogie, l’Eau, les Glaces et l’Activité (OMEGA) instrument onboard the ESA Mars Express (MEx) orbiter [3]. It has been developed as an alternative to the IDL routines of the OMEGA legacy software provided by the instrument team for the past 20 years [4] and its validation by comparison with the results of the IDL routines has been endorsed by the OMEGA PI. The module notably includes a Python reimplementation of the most recent release of the IDL OMEGA software (v10, SOFT10) [4], which performs the reading, calibration, and reduction of the level 1B data publicly available on the ESA PSA to produce level 2A data (calibrated reflectances cubes) that can be used for the scientific analysis. In addition, the module also includes built-in functions to perform the atmospheric and thermal corrections of the data (using previously published methods) and graphic tools dedicated to the OMEGA hyperspectral data including interactive visualization of the cubes or generation of composite OMEGA maps. Also, since the release of its version 3.0 in October 2023 (currently in version 3.2, released on January 2025), OMEGA-Py is now distributed as part of the official OMEGA software ecosystem (https://www.ias.u-psud.fr/omega/software.html).