The SOXS data-reduction pipeline

David R. Young, Marco Landoni, Stephen J. Smartt, Sergio Campana, Riccardo Claudi, Pietro Schipani, Matteo Aliverti, Andrea Baruffolo, Sagi Ben-Ami, Federico Biondi, Giulio Capasso, Rosario Cosentino, Francesco D'Alessio, Paolo D'Avanzo, Ofir Hershko, Hanindyo Kuncarayakti, Matteo Munari, Giuliano Pignata, Adam Rubin, Salvatore ScuderiFabrizio Vitali, Jani Achrén, José Antonio Araiza-Duran, Iair Arcavi, Anna Brucalassi, Rachel Bruch, Enrico Cappellaro, Mirko Colapietro, Massimo Della Valle, Marco De Pascale, Rosario Di Benedetto, Sergio D'Orsi, Avishay Gal-Yam, Matteo Genoni, Marcos Hernandez, Jari Kotilainen, Gianluca Li Causi, Seppo Mattila, Michael Rappaport, Kalyan Radhakrishnan, Davide Ricci, Marco Riva, Bernardo Salasnich, Ricardo Zanmar Sanchez, Maximilian Stritzinger, Héctor Ventura

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationSoftware and Cyberinfrastructure for Astronomy VI
EditorsJuan C. Guzman, Jorge Ibsen
PublisherSPIE
ISBN (Electronic)9781510636910
DOIs
Publication statusPublished - 2020
EventSoftware and Cyberinfrastructure for Astronomy VI 2020 - Virtual, Online, United States
Duration: 14 Dec 202018 Dec 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11452
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSoftware and Cyberinfrastructure for Astronomy VI 2020
Country/TerritoryUnited States
CityVirtual, Online
Period14/12/2018/12/20

Keywords

  • Data Reduction
  • Imaging
  • Pipeline
  • SOXS
  • Spectroscopy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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