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The data processing pipeline for the MUSE instrument

Peter M. Weilbacher, Ralf Palsa, O. Streicher, Roland Bacon, T. Urrutia, L. Wisotzki, Simon Conseil, B. Husemann, Aurélien Jarno, Andreas Kelz, Arlette Pécontal-Rousset, Johan Richard, Martin M. Roth, F. Selman, Joël Vernet

2020Springer Link (Chiba Institute of Technology)265 citationsDOIOpen Access PDF

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.

Topics & Concepts

SpectrographPipeline (software)Data processingRaw dataSoftwareAutomationObservatoryData reductionField (mathematics)Integral field spectrographComputer sciencePipeline transportScientific instrumentDatabasePhysicsAstronomyData miningProgramming languageEngineeringMechanical engineeringSpectral lineMathematicsPure mathematicsAstronomy and Astrophysical ResearchStellar, planetary, and galactic studiesAdaptive optics and wavefront sensing
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