A4 Refereed article in a conference publication
The Quality Check system architecture for Son-Of-X-Shooter SOXS
Authors: Landoni Marco, Marty Laurent, Young Dave, Asquini Laura, Smartt Stephen J., Campana Sergio, Claudi Riccardo, Schipani Pietro, Aliverti Matteo, Battaini Federico, Baruffolo Andrea, Ben-Ami Sagi, Biondi Federico, Bianco Andrea, Capasso Giulio, Cosentino Rosario, D'Alessio Francesco, D'Avanzo Paolo, Genoni Matteo, Hershko Ofir, Kuncarayakti Hanindyo, Munari Matteo, Pignata Giuliano, Rubin Adam, Scuderi Salvatore, Vitali Fabrizio, Achrén Jani, Araiza-Duran
José Antonio, Arcavi Iair, Brucalassi Anna, Bruch Rachel, Cappellaro Enrico, Colapietro Mirko, Della Valle Massimo, De Pascale Marco, Di Benedetto Rosario, D'Orsi Sergio, Gal-Yam Avishay, Hernandez-Diaz Marcos, Kotilainen Jari, Li Causi Gianluca, Mattila Seppo, Oggioni Luca, Pariani Giorgio, Rappaport Michael, Radhakrishnan Kalyan, Ricci Davide, Riva Marco, Salsanich Bernardo, Sanchez Ricardo Zanmar, Stritzinger Maximilian, Ventura Hector
Editors: Jorge Ibsen, Gianluca Chiozzi
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
Article number: 121890L
Series title: Proceedings of SPIE : the International Society for Optical Engineering
Volume: 12189
First page : 121890L
Number of pages: 7
ISSN: 0277-786X
eISSN: 1996-756X
DOI: https://doi.org/10.1117/12.2630049
Web address : https://doi.org/10.1117/12.2630049
We report the implemented architecture for monitoring the health and the quality of the Son Of X-Shooter (SOXS) spectrograph for the New Technology Telescope in La Silla at the European Southern Observatory. Briefly, we report on the innovative no-SQL database approach used for storing time-series data that best suits for automatically triggering alarm, and report high-quality graphs on the dashboard to be used by the operation support team. The system is designed to constantly and actively monitor the Key Performance Indicators (KPI) metrics, as much automatically as possible, reducing the overhead on the support and operation teams. Moreover, we will also detail about the interface designed to inject quality checks metrics from the automated SOXS Pipeline (Young et al. 2022).
