The Science Alert Generation system of the Cherenkov Telescope Array Observatory.

Discussion timeslot (ZOOM-Meeting): 16. July 2021 - 12:00
ZOOM-Meeting URL: https://desy.zoom.us/j/91896950007
ZOOM-Meeting ID: 91896950007
ZOOM-Meeting Passcode: ICRC2021
Corresponding Session: https://icrc2021-venue.desy.de/channel/28-Searches-for-Transients-MM/120
Live-Stream URL: https://icrc2021-venue.desy.de/livestream/Discussion-06/7

Abstract:
'The Cherenkov Telescope Array (CTA), with tens of telescopes located in both the northern and southern hemispheres, will be the largest ground-based gamma-ray observatory with an energy coverage from 20 GeV to 300 TeV. The large effective area and field-of-view, coupled with the fast slewing capability and unprecedented sensitivity, make CTA a crucial instrument for the future of ground-based gamma-ray astronomy. To maximise the scientific return, the array will send alerts on transients and variable phenomena (e.g. gamma-ray burst). Rapid and effective communication to the community requires a reliable and automated system to detect and issue candidate science alerts, accomplished by the Science Alert Generation (SAG) pipeline.rnSAG is part of the Array Control and Data Acquisition (ACADA) working group. The SAG working group develops the pipelines performing data reconstruction, data quality monitoring, science monitoring and real-time alert issuing during observations to the Transients Handling functionality of ACADA.rnSAG is the system that performs the first real-time scientific analysis after the data acquisition. The system performs analysis on multiple time scales (from seconds to hours). Alerts must be issued 20 seconds from the data taking and with sensitivity at least half of the CTA nominal sensitivity. These challenging requirements must be fulfilled managing trigger rates of tens of kHz from the arrays. Dedicated and highly optimised software and hardware architecture must thus be designed and tested. In this work, we present the general architecture of the ACADA-SAG system alongside a use case of the science alert management’s general workflow.'

Authors: Andrea Bulgarelli | Thomas Vuillaume | Pierre Aubert | Leonardo Baroncelli | Sami Caroff | Giovanni De Cesare | Ambra Di Piano | Valentina Fioretti | Enrique Garcia | Gilles Maurin | Nicolò Parmiggiani | Igor Oya | Clemens Hoischen | for the CTA Consortium
Collaboration: CTA

Indico-ID: 240
Proceeding URL: https://pos.sissa.it/395/937