Reduction and analysis of MUSE data
J. Richard (CRAL), R. Bacon (CRAL), P. M. Weilbacher (AIP), O., Streicher (AIP), L. Wisotzki (AIP), E. C. Herenz (AIP), E. Slezak (OCA), M., Petremand (LSIIT), A. Jalobeanu (LSIIT), C. Collet (LSIIT), M. Louys (LSIIT), and the MUSE, DAHLIA teams
TL;DR
This paper discusses the data reduction challenges and tools developed for MUSE, a powerful spectrograph capturing vast amounts of spectral data, to facilitate astrophysical signal recovery.
Contribution
It presents the main features of the MUSE Data Reduction System and new tools designed for processing large datacubes.
Findings
Development of a comprehensive Data Reduction System for MUSE
Introduction of tools for handling large datacubes
Successful strategies for recovering astrophysical signals
Abstract
MUSE, the Multi Unit Spectroscopic Explorer, is a 2nd generation integral-field spectrograph under final assembly to see first light at the Very Large Telescope in 2013. By capturing ~ 90000 optical spectra in a single exposure, MUSE represents a challenge for data reduction and analysis. We summarise here the main features of the Data Reduction System, as well as some of the tools under development by the MUSE consortium and the DAHLIA team to handle the large MUSE datacubes (about 4x?10^8 pixels) to recover the original astrophysical signal.
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Taxonomy
TopicsAstronomy and Astrophysical Research · Photocathodes and Microchannel Plates · Adaptive optics and wavefront sensing