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http://hdl.handle.net/20.500.12386/34086
Titolo: | The Online Observation Quality System for the ASTRI Mini-Array | Autori: | PARMIGGIANI, NICOLO BULGARELLI, ANDREA Baroncelli, L. Addis, A. FIORETTI, VALENTINA Di Piano, A. CAPALBI, Milvia CATALANO, OSVALDO CONFORTI, Vito Fiori, M. GIANOTTI, FULVIO Iovenitti, S. LUCARELLI, Fabrizio MACCARONE, MARIA CONCETTA MINEO, TERESA Russo, F. SANGIORGI, Pierluca SCUDERI, Salvatore Tosti, G. TRIFOGLIO, MASSIMO ZAMPIERI, Luca Project, for the ASTRI |
Data pubblicazione: | 2021 | Rivista: | POS PROCEEDINGS OF SCIENCE | Titolo del volume in cui è pubblicato il poster: | 37th International Cosmic Ray Conference ICRC2021 | Abstract: | The ASTRI Mini-Array is an international collaboration led by the Italian National Institute for Astrophysics (INAF), aiming to construct and operate an array of nine Imaging Atmospheric Cherenkov Telescopes (IACTs) to study gamma-ray sources at very high energy (TeV) and to perform stellar intensity interferometry observations. This contribution describes the design and the technologies used by the ASTRI team to implement the Online Observation Quality System (OOQS). The main objective of the OOQS is to perform data quality analyses in real-time during Cherenkov and intensity interferometry observations to provide feedback to both the Central Control System and the Operator. The OOQS performs the analysis of key data quality parameters and can generate alarms to other sub-systems for a fast reaction to solve critical conditions. The results from the data quality analyses are saved into the Quality Archive for further investigations. The Operator can visualise the OOQS results through the Operator Human Machine Interface as soon as they are produced. The main challenge addressed by the OOQS design is to perform online data quality checks on the data streams produced by nine telescopes, acquired by the Array Data Acquisition System and forwarded to the OOQS. In the current OOQS design, the Redis in-memory database manages the data throughput generated by the telescopes, and the Slurm workload scheduler executes in parallel the high number of data quality analyses.... | Titolo del convegno: | 37th International Cosmic Ray Conference (ICRC2021) | Luogo del convegno: | Berlin | Periodo del convegno: | 12-23 July 2021 | URI: | http://hdl.handle.net/20.500.12386/34086 | URL: | https://pos.sissa.it/395/ https://pos.sissa.it/395/692/ |
ISSN: | 1824-8039 | DOI: | 10.22323/1.395.0692 | Fulltext: | open |
È visualizzato nelle collezioni: | 3.01 Contributi in Atti di convegno |
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