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  1. Pubblicazioni

The online observation quality system software architecture for the ASTRI Mini-Array project

Contributo in Atti di convegno
Data di Pubblicazione:
2022
Citazione:
The online observation quality system software architecture for the ASTRI Mini-Array project / Parmiggiani, N.; Bulgarelli, A.; Baroncelli, L.; Addis, A.; Fioretti, V.; Di Piano, A.; Capalbi, M.; Catalano, O.; Conforti, V.; Fiori, M.; Gianotti, F.; Iovenitti, S.; Lucarelli, F.; Maccarone, M. C.; Mineo, T.; Lombardi, S.; Pastore, V.; Russo, F.; Sangiorgi, P.; Scuderi, S.; Tosti, G.; Trifoglio, M.; Zampieri, L.. - 12189:(2022), p. 90. ( Software and Cyberinfrastructure for Astronomy VII 2022 Montréal, Québec, Canada 29 August 2022) [10.1117/12.2629278].
Abstract:
The ASTRI Mini-Array is an international collaboration led by the Italian National Institute for Astrophysics. This project aims to construct and operate an array of nine Imaging Atmospheric Cherenkov Telescopes to study gamma-ray sources at very high energy (TeV) and perform stellar intensity interferometry observations. We describe the software architecture and the technologies used to implement the Online Observation Quality System (OOQS) for the ASTRI Mini-Array project. The OOQS aims to execute data quality checks on the data acquired in real-time by the Cherenkov cameras and intensity interferometry instruments, and provides feedback to both the Central Control System and the Operator about abnormal conditions detected. The OOQS can notify other sub-systems, triggering their reaction to promptly correct anomalies. The results from the data quality analyses (e.g. camera plots, histograms, tables, and more) are stored in the Quality Archive for further investigation and they are summarised in reports available to the Operator. Once the OOQS results are stored, the operator can visualize them using the Human Machine Interface. The OOQS is designed to manage the high data rate generated by the instruments (up to 4.5 GB/s) and received from the Array Data Acquisition System through the Kafka service. The data are serialized and deserialized during the transmission using the Avro framework. The Slurm workload scheduler executes the analyses exploiting key features such as parallel analyses and scalability....
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
ASTRI Mini-Array; Cherenkov telescope; data quality; real-time software;
Elenco autori:
Parmiggiani, N.; Bulgarelli, A.; Baroncelli, L.; Addis, A.; Fioretti, V.; Di Piano, A.; Capalbi, M.; Catalano, O.; Conforti, V.; Fiori, M.; Gianotti, F.; Iovenitti, S.; Lucarelli, F.; Maccarone, M. C.; Mineo, T.; Lombardi, S.; Pastore, V.; Russo, F.; Sangiorgi, P.; Scuderi, S.; Tosti, G.; Trifoglio, M.; Zampieri, L.
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1289224
Titolo del libro:
12189, Software and Cyberinfrastructure for Astronomy VII
Pubblicato in:
PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING
Journal
PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING
Series
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