Refereed article in conference proceedings (A4)

The Son-Of-X-shooter (SOXS) Data-Reduction Pipeline




List of Authors: Young D, Landoni M, Smartt S, Campana S, D'Avanzo P, Claudi R, Schipani P, Aliverti M, Baruffolo A, Ben-Ami S, Capasso G, Cosentino R, D'Alessio F, Hershko O, Kuncarayakti H, Munari M, Pignata G, Radhakrishnan KK, Rubin A, Scuderi S, Vitali F, Achren J, Araiza-Duran JA, Arcavi I, Battaini F, Brucalassi A, Bruch R, Cappellaro E, Colapietro M, Della Valle M, Di Benedetto R, D'Orsi S, Gal-Yam A, Genoni M, Hernandez M, Kotilainen J, Li Causi G, Marty L, Mattila S, Rappaport M, Ricci D, Riva MM, Salasnich B, Sanchez RZ, Stritzinger M, Ventura HP

Conference name: SPIE Astronomical Telescopes + Instrumentation

Publisher: SPIE-INT SOC OPTICAL ENGINEERING, PO BOX 10, BELLINGHAM, WA 98227-0010 USA

Publication year: 2022

Journal: Proceedings of SPIE : the International Society for Optical Engineering

Book title *: Proceedings of SPIE: Software and Cyberinfrastructure for Astronomy VII

Journal name in source: SOFTWARE AND CYBERINFRASTRUCTURE FOR ASTRONOMY VII

Journal acronym: PROC SPIE

Title of series: Proceedings of SPIE : the International Society for Optical Engineering

Volume number: 12189

Number of pages: 10

ISSN: 0277-786X

eISSN: 1996-756X

DOI: http://dx.doi.org/10.1117/12.2629282

URL: https://doi.org/10.1117/12.2629282


Abstract
The Son-Of-XShooter (SOXS) is a single object spectrograph (UV-VIS & NIR) and acquisition camera scheduled to be mounted on the European Southern Observatory (ESO) 3.58-m New Technology Telescope at the La Silla Observatory. Although the underlying data reduction processes to convert raw detector data to fully-reduced science ready data are complex and multi-stepped, we have designed the SOXS Data Reduction pipeline with the core aims of providing end-users with a simple-to-use, well-documented command-line interface while also allowing the pipeline to be run in a fully automated state; streaming reduced data into the ESO Science Archive Facility (SAF) without need for human intervention. To keep up with the stream of data coming from the instrument, there is the requirement to optimise the software to reduce each observation block of data well within the typical observation exposure time. The pipeline is written in Python 3 and has been built with an agile development philosophy that includes CI and adaptive planning.


Last updated on 2022-29-11 at 09:54