Implementation plans for the data reduction pipeline for METIS at the ELT
- Author(s)
- Kieran Leschinski, Hugo Buddelmeijer, Oliver Czoske, Gilles Otten, Martin Balaz, Fabian Haberhauer, Jennifer Karr, Wolfgang Kausch, Thomas Marquart, Nadeen Sabha, Chi Hung Yan, Norbert Pryzbilla, Shiang Yu Wang, Werner Zeilinger
- Abstract
METIS will be the first-light mid-infrared instrument at the ELT. Given the expected performance of the ELT’s adaptive optics systems, METIS will be able to probe regions of the sky previously inaccessible to astronomers. In support of both the METIS integration and verification efforts as well as the astronomical community at large, the METIS pipeline team has begun work on the METIS data reduction pipeline. The METIS pipeline will be written mostly in Python to take advantage of the new data reduction tools released by ESO. The development schedule has been set in such a way that the pipeline team will be able to directly support the testing and verification efforts during the upcoming system integration phase for METIS. In order to ensure that the required pipeline functionality is available when it is needed, the recipes and workflows functionality has been broken down into four levels of readiness: skeleton, functional, performance, and science-grade. This breakdown aims to ensure a more agile approach to the pipeline implementation as well as enabling productive contributions from all members of the highly geographically distributed team.
- Organisation(s)
- Department of Astrophysics
- External organisation(s)
- Academia Sinica Institute of Astronomy and Astrophysics (ASIAA), No. 1, Section 4, Roosevelt Road, Leopold-Franzens-Universität Innsbruck, Uppsala University
- DOI
- https://doi.org/10.1117/12.3020397
- Publication date
- 2024
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 103003 Astronomy, 103004 Astrophysics
- Keywords
- ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Applied Mathematics, Electrical and Electronic Engineering
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/b590daea-5413-4a26-8b6c-371b950be331