The Quality Check system architecture for Son-Of-X-Shooter SOXS

• Published in: arXiv.org
• Main Authors: Landoni, Marco, Marty, Laurent, Young, Dave, Asquini, Laura, Smartt, Stephen, 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, Achren, Jani, Araiza Duran, Jose Antonio, Arcavi, Iair, Brucalassi, Anna, Bruch, Rachel, Cappellaro, Enrico, Colapietro, Mirko, Massimo Della Valle, De Pascale, Marco, Rosario Di Benedetto, D'Orsi, Sergio, Avishay Gal Yam, Hernandez, Marcos, Kotilainen, Jari, Gianluca Li Causi, Mattila, Seppo, Oggioni, Luca, Pariani, Giorgio, Rappaport, Michael, Radhakrishnan, Kalyan, Ricci, Davide, Riva, Marco, Salasnich, Bernardo, Sanchez, Ricardo Zanmar
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 15.09.2022
• Subjects: Computer architecture; European Southern Observatory; New technology; Physics - Instrumentation and Methods for Astrophysics
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2209.07183

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).