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

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arxiv 2209.07183 v1 pith:7QZTBJTU submitted 2022-09-15 astro-ph.IM

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

Marco Landoni , Laurent Marty , Dave Young , Laura Asquini , Stephen Smartt , Sergio Campana , Riccardo Claudi , Pietro Schipani
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Matteo Aliverti Federico Battaini Andrea Baruffolo Sagi Ben-Ami Federico Biondi Andrea Bianco Giulio Capasso Rosario Cosentino Francesco D'Alessio Paolo D'Avanzo Matteo Genoni Ofir Hershko Hanindyo Kuncarayakti Matteo Munari Giuliano Pignata Adam Rubin Salvatore Scuderi Fabrizio Vitali Jani Achren Jose 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 Marcos Hernandez Jari Kotilainen Gianluca Li Causi Seppo Mattila Luca Oggioni Giorgio Pariani Michael Rappaport Kalyan Radhakrishnan Davide Ricci Marco Riva Bernardo Salasnich Ricardo Zanmar Sanchez
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classification astro-ph.IM
keywords qualityreportsoxsarchitectureautomaticallydesignedmetricsoperation
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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).

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