2014/09/18 by Frederik Schönebeck, Thomas H. Puzia, A. Pasquali +11 · 1 citation
Physics and Astronomy · #Artificial intelligence #Astronomy and Astrophysical Research #Astrophysics #Astrophysics and Star Formation Studies #Calibration #Computer science #Data reduction #Flux (metallurgy) #Globular cluster #Noise (video) #Optics #Physics #Stars #Stellar, planetary, and galactic studies #astro-ph.IM
paper · pdf · doi:10.1051/0004-6361/201424196
published as A&A 572, A13 (2014) · 22 pages, 18 figures, Accepted for publication in Astronomy & Astrophysics; V2 contains a minor change in the abstract. We note that we did not test X-shooter pipeline versions 2.0 or later. V3 contains an updated reference
openalex publication_date 2014/09/18 · arxiv created 2014/09/24 · arxiv updated 2014/11/26 · openalex created_date 2022/10/03 · openalex updated_date 2026/08/05
Aims. Our dataset contains spectroscopic observations of 29 globular clusters in the Magellanic Clouds and the Milky Way performed with VLT/X-shooter over eight full nights. To derive robust results instrument and pipeline systematics have to be well understood and properly modeled. We aim at a consistent data reduction procedure with an accurate understanding of the measurement accuracy limitations. Here we present detailed data reduction procedures for the VLT/X-shooter UVB and VIS arm. These are not restricted to our particular dataset, but are generally applicable to different kinds of X-shooter data without major limitation on the astronomical object of interest.