Article (Scientific journals)
PROSE: a PYTHON framework for modular astronomical images processing
Garcia, Lionel; Timmermans, Mathilde; Pozuelos, Francisco J. et al.
2022In Monthly Notices of the Royal Astronomical Society, 509, p. 4817
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Keywords :
instrumentation: detectors; methods: data analysis; planetary systems; Astrophysics - Instrumentation and Methods for Astrophysics; Astrophysics - Earth and Planetary Astrophysics
Abstract :
[en] To reduce and analyse astronomical images, astronomers can rely on a wide range of libraries providing low-level implementations of legacy algorithms. However, combining these routines into robust and functional pipelines requires a major effort that often ends up in instrument-specific and poorly maintainable tools, yielding products that suffer from a low level of reproducibility and portability. In this context, we present PROSE, a PYTHON framework to build modular and maintainable image processing pipelines. Built for astronomy, it is instrument-agnostic and allows the construction of pipelines using a wide range of building blocks, pre-implemented or user-defined. With this architecture, our package provides basic tools to deal with common tasks, such as automatic reduction and photometric extraction. To demonstrate its potential, we use its default photometric pipeline to process 26 TESS candidates follow-up observations and compare their products to the ones obtained with ASTROIMAGEJ, the reference software for such endeavours. We show that PROSE produces light curves with lower white and red noise while requiring less user interactions and offering richer functionalities for reporting.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Garcia, Lionel  ;  Université de Liège - ULiège > Astrobiology
Timmermans, Mathilde  ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Exotic
Pozuelos, Francisco J.  ;  Astrobiology Research Unit, University of Liège, Allée du 6 Août 19C, B-4000 Liège, Belgium ; STAR Institute, University of Liège,Allée du 6 Août 19C, B-4000 Liège, Belgium
Ducrot, Elsa ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Exotic
Gillon, Michaël  ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Exotic
Delrez, Laetitia ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Exotic
Wells, Robert D.;  Center for Space and Habitability, Gesellsschaftstrasse 6, CH-3012 Bern, Switzerland
Jehin, Emmanuel  ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Origines Cosmologiques et Astrophysiques (OrCa)
Language :
English
Title :
PROSE: a PYTHON framework for modular astronomical images processing
Publication date :
01 February 2022
Journal title :
Monthly Notices of the Royal Astronomical Society
ISSN :
0035-8711
eISSN :
1365-2966
Publisher :
Oxford University Press, Oxford, United Kingdom
Volume :
509
Pages :
4817
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
FP7 - 336480 - SPECULOOS - SPECULOOS: searching for habitable planets amenable for biosignatures detection around the nearest ultra-cool stars
Funders :
CE - Commission Européenne [BE]
Available on ORBi :
since 11 January 2022

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