The Son-Of-X-shooter (SOXS) Data-Reduction Pipeline
: Young David R., Landoni Marco, Smartt Stephen J., Campana Sergio, D'Avanzo Paolo, Claudi Riccardo, Schipani Pietro, Aliverti Matteo, Baruffolo Andrea, Ben-Ami Sagi, Capasso Giulio, Cosentino Rosario, D'Alessio Francesco, Hershko Ofir, Kuncarayakti Hanindyo, Munari Matteo, Pignata Giuliano, Radhakrishnan Kalyan, Rubin Adam, Scuderi Salvatore, Vitali Fabrizio, Achrén Jani, Araiza-Durán José Antonio, Arcavi Iair, Battaini Federico, Brucalassi Anna, Bruch Rachel, Cappellaro Enrico, Colapietro Mirko, Della Valle Massimo, Di Benedetto Rosario, D'Orsi Sergio, Gal-Yam Avishay, Genoni Matteo, Hernandez Marcos, Kotilainen Jari, Li Causi Gianluca, Marty Laurent, Mattila Seppo, Rappaport Michael, Ricci Davide, Riva Marco, Salasnich Bernardo, Sanchez Ricardo Zanmar, Stritzinger Maximilian, Ventura Hector Pérez
: Jorge Ibsen, Gianluca Chiozzi
: SPIE Astronomical Telescopes + Instrumentation
Publisher: SPIE-INT SOC OPTICAL ENGINEERING, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
: 2022
: Proceedings of SPIE : the International Society for Optical Engineering
: Proceedings of SPIE: Software and Cyberinfrastructure for Astronomy VII
: SOFTWARE AND CYBERINFRASTRUCTURE FOR ASTRONOMY VII
: PROC SPIE
: 121891I
: Proceedings of SPIE : the International Society for Optical Engineering
: 12189
: 121891I
: 10
: 0277-786X
: 1996-756X
DOI: https://doi.org/10.1117/12.2629282
: https://doi.org/10.1117/12.2629282
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.
