Quality control of VLT-VIMOS data

Paola Sartoretti; Carlo Izzo; Ralf M. Palsa; Gianni Marconi; Stephane Brillant; Markus Kissler-Patig; Stefano Bagnulo

doi:10.1117/12.550043

16 September 2004 Quality control of VLT-VIMOS data

Paola Sartoretti, Carlo Izzo, Ralf M. Palsa, Gianni Marconi, Stephane Brillant, Markus Kissler-Patig, Stefano Bagnulo

Proceedings Volume 5493, Optimizing Scientific Return for Astronomy through Information Technologies; (2004) https://doi.org/10.1117/12.550043
Event: SPIE Astronomical Telescopes + Instrumentation, 2004, Glasgow, United Kingdom

Abstract

VIMOS is the Visible Multi-Object Spectrograph mounted at the Nasmyth focus of the 8.2m Melipal (UT3) telescope of the ESO Very Large Telescope. VIMOS operates with four channels in three observing modes: imaging, multi-object spectroscopy (MOS), and integral field spectroscopy. VIMOS data are pipeline-processed and quality-checked by the Data Flow Operation group in Garching. The quality check is performed in two steps. The first one is a visual check of each pipeline product that allows the identification of any potential major data problem, such as, for example, a failure in the MOS mask insertion or an over/under exposure. The second step is performed in terms of Quality Control (QC) parameters, which are derived from both raw and processed data to monitor the instrument performance. The evolution in time of the QC parameters is recorded in a publically available database (http://www.eso.org/qc/). The VIMOS QC parameters include, for each of the four VIMOS channels, the bias level, read-out-noise, dark current, gain factor, flat-field and arc-lamps efficiencies, resolution and rms of dispersion, sky flat-field structure, image quality and photometric zeropoints. We describe here some examples of quality checks of VIMOS data.

Citation Download Citation

Paola Sartoretti, Carlo Izzo, Ralf M. Palsa, Gianni Marconi, Stephane Brillant, Markus Kissler-Patig, and Stefano Bagnulo "Quality control of VLT-VIMOS data", Proc. SPIE 5493, Optimizing Scientific Return for Astronomy through Information Technologies, (16 September 2004); https://doi.org/10.1117/12.550043

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