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Astronomy and Astrophysics· 2020Q1

The data processing pipeline for the MUSE instrument

Peter M. Weilbacher, Ralf Palsa, Ole Streicher, Roland Bacon et al.

Short summary

A new automated data processing pipeline has been developed for the MUSE integral field spectrograph, transforming raw science data into calibrated datacubes ready for scientific analysis.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Describes the automated data reduction pipeline for the MUSE integral field spectrograph.
  • Handles data from 1152 spatial elements across 24 integral field units.
  • Details algorithms for calibration and science data processing.
  • Transforms raw science data into calibrated datacubes.
  • Pipeline output has been quality-checked and is ready for scientific analysis.

AI-generated from the title and abstract; the full text is not read.

Abstract

The processing of raw data from modern astronomical instruments is often carried out nowadays using dedicated software, known as pipelines, 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 the ESO 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 with 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 is 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.

The authors' abstract, as published at the source. Astronomy and Astrophysics, 2020 · DOI ↗

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Field: Instrumentation

InstrumentationPhysics and Astronomy