Processing of raw data from modern astronomical instruments is nowadays often carried out using dedicated software, so-called "pipelines" which are largely run in automated operation. In this paper we describe the data reduction pipeline of the Multi Unit Spectroscopic Explorer (MUSE) integral field spectrograph operated at ESO's Paranal observatory. This spectrograph is a complex machine: it records data of 1152 separate spatial elements on detectors in its 24 integral field units. Efficiently handling such data requires sophisticated software, a high degree of automation and parallelization. We describe the algorithms of all processing steps that operate on calibrations and science data in detail, and explain how the raw science data gets transformed into calibrated datacubes. We finally check the quality of selected procedures and output data products, and demonstrate that the pipeline provides datacubes ready for scientific analysis.
@article{arxiv.2006.08638,
title = {The Data Processing Pipeline for the MUSE Instrument},
author = {Peter M. Weilbacher and Ralf Palsa and Ole Streicher and Roland Bacon and Tanya Urrutia and Lutz Wisotzki and Simon Conseil and Bernd Husemann and Aurélien Jarno and Andreas Kelz and Arlette Pécontal-Rousset and Johan Richard and Martin M. Roth and Fernando Selman and Joël Vernet},
journal= {arXiv preprint arXiv:2006.08638},
year = {2020}
}
Comments
31 pages, 19 figures, includes the short appendix. Paper accepted by A&A. Software available from ESO (https://www.eso.org/sci/software/pipelines/muse/muse-pipe-recipes.html) and AIP (https://data.aip.de/projects/musepipeline.html)