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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-Duran, José Antonio; Arcavi, Iair; Battaini, Federico; Brucalassi, Anna; Bruch, Rachel; Cappellaro, Enrico; Colapietro, Mirko; Massimo Della Valle; Rosario Di Benedetto; D'Orsi, Sergio; Gal-Yam, Avishay; Genoni, Matteo; Hernandez, Marcos; Kotilainen, Jari; Gianluca Li Causi; Marty, Laurent; Mattila, Seppo; Rappaport, Michael; Ricci, Davide; Riva, Marco; Salasnich, Bernardo; Sanchez, Ricardo Zanmar; Stritzinger, Maximilian; Ventura, Hector
arXiv.org, 09/2022Paper, Journal Article
The Son-Of-XShooter (SOXS) is a single object spectrograph (UV-VIS & NIR) and acquisition camera scheduled to be mounted on the 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 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.
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