The data processing pipeline for the MUSE instrument

被引：265

作者：

Weilbacher, Peter M. ^{[1
]}

Palsa, Ralf ^{[2
]}

Streicher, Ole ^{[1
]}

Bacon, Roland ^{[3
]}

Urrutia, Tanya ^{[1
]}

Wisotzki, Lutz ^{[1
]}

Conseil, Simon ^{[3
,4
]}

Husemann, Bernd ^{[5
]}

Jarno, Aurelien ^{[3
]}

Kelz, Andreas ^{[1
]}

Pecontal-Rousset, Arlette ^{[3
]}

Richard, Johan ^{[3
]}

Roth, Martin M. ^{[1
]}

Selman, Fernando ^{[6
]}

Vernet, Joel

机构：

[1] Leibniz Inst Astrophys Potsdam AIP, Sternwarte 16, D-14482 Potsdam, Germany

[2] European Southern Observ, ESO, Karl Schwarzschild Str 2, D-85748 Garching, Germany

[3] Univ Lyon1, Univ Lyon, Ens Lyon, CNRS,Ctr Rech Astrophys Lyon,UMR5574, F-69230 St Genis Laval, France

[4] Gemini Observ, NSFs OIR Lab, Casilla 603, La Serena, Chile

[5] Max Planck Inst Astron, Konigstuhl 17, D-69117 Heidelberg, Germany

[6] European Southern Observ, Ave Alonso Cordova 3107, Santiago, Chile

来源：

ASTRONOMY & ASTROPHYSICS | 2020年 / 641卷

关键词：

instrumentation: spectrographs; techniques: imaging spectroscopy; methods: observational; methods: data analysis; INTEGRAL FIELD SPECTROSCOPY; DATA REDUCTION; REFRACTIVE-INDEX; ASTRO-WISE; DESIGN; SPECTROGRAPH; SUBTRACTION; ABSORPTION; KINEMATICS; ALGORITHM;

D O I：

10.1051/0004-6361/202037855

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

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.

引用

页数：30

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Palsa, Ralf
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Bacon, Roland
Urrutia, Tanya
Wisotzki, Lutz
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Husemann, Bernd
Jarno, Aurélien
Kelz, Andreas
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Richard, Johan
Roth, Martin M.
Selman, Fernando
Vernet, Joël
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