The Son-Of-X-shooter (SOXS) is a dual arm spectrograph (UV-VIS and NIR) and Acquisition Camera (AC) due to mounted on the European Southern Observatory (ESO) 3.6m New Technology Telescope (NTT) in La Silla. Designed to simultaneously cover the optical and NIR wavelength range from 350-2050 nm, the instrument will be dedicated to the study of transient and variable events with many Target of Opportunity requests expected. The goal of the SOXS Data Reduction pipeline is to use calibration data to remove all instrument signatures from the SOXS scientific data frames for each of the supported instrument modes, convert this data into physical units and deliver them with their associated error bars to the ESO Science Archive Facility (SAF) as Phase 3 compliant science data products, all within 30 minutes. The primary reduced product will be a detrended, wavelength and flux calibrated, telluric corrected 1D spectrum with UV-VIS + NIR arms stitched together. The pipeline will also generate Quality Control (QC) metrics to monitor telescope, instrument and detector health. The pipeline is written in Python 3 and has been built with an agile development philosophy that includes adaptive planning and evolutionary development. The pipeline is to be used by the SOXS consortium and the general user community that may want to perform tailored processing of SOXS data. Test driven development has been used throughout the build using ?€?extreme' mock data. We aim for the pipeline to be easy to install and extensively and clearly documented.
|Title of host publication
|Software and Cyberinfrastructure for Astronomy VI
|Juan C. Guzman, Jorge Ibsen
|SPIE - The International Society for Optical Engineering
|Published - 13 Dec 2020
|Software and Cyberinfrastructure for Astronomy VI 2020 - Virtual, Online, United States
Duration: 14 Dec 2020 → 18 Dec 2020
|Proceedings of SPIE - The International Society for Optical Engineering
|Software and Cyberinfrastructure for Astronomy VI 2020
|14/12/2020 → 18/12/2020
Bibliographical notePublisher Copyright:
© 2020 SPIE.
Copyright 2021 Elsevier B.V., All rights reserved.
- Data Reduction
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering