Semantic Scholar Open Access 2020 153 sitasi

The data processing pipeline for the MUSE instrument

P. Weilbacher R. Palsa O. Streicher R. Bacon T. Urrutia +14 lainnya

Abstrak

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.

Topik & Kata Kunci

Penulis (19)

P

P. Weilbacher

R

R. Palsa

O

O. Streicher

R

R. Bacon

T

T. Urrutia

L

L. Wisotzki

S

S. Conseil

B

B. Husemann

A

A. Jarno

A

A. Kelz

A

Arlette P'econtal-Rousset

J

J. Richard

M

M. Roth

F

F. Selman

J

J. G. A. I. Potsdam

E

Eso Garching Cral

G

Gemini

M

Mpia

E

E. Santiago

Format Sitasi

Weilbacher, P., Palsa, R., Streicher, O., Bacon, R., Urrutia, T., Wisotzki, L. et al. (2020). The data processing pipeline for the MUSE instrument. https://doi.org/10.1051/0004-6361/202037855

Akses Cepat

Lihat di Sumber doi.org/10.1051/0004-6361/202037855
Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
153×
Sumber Database
Semantic Scholar
DOI
10.1051/0004-6361/202037855
Akses
Open Access ✓