Valentina Fioretti (Author), Christopher Eckner (Author), Gašper Kukec Mezek (Author), Samo Stanič (Author), Serguei Vorobiov (Author), Lili Yang (Author), Gabrijela Zaharijas (Author), Danilo Zavrtanik (Author), Marko Zavrtanik (Author), Lukas Zehrer (Author)

Abstract

The Cherenkov Telescope Array (CTA) will be able to perform unprecedented observations of the transient very high-energy sky. An on-line science alert generation (SAG) pipeline, with a required 30 second latency, will allow the discovery or follow-up of gamma ray bursts (GRBs) and flaring emission from active galactic nuclei, galactic compact objects and electromagnetic counterparts of gravitational waves or neutrino messengers. The CTA sensitivity for very short exposures does not only depend on the technological performance of the array (e.g. effective area, background discrimination efficiency). The algorithms to evaluate the significance of the detection also define the sensitivity, together with their computational efficiency in order to satisfy the SAG latency requirements. We explore the aperture photometry and likelihood analysis techniques, and the associated parameters (e.g. on-source to off-source exposure ratio, minimum number of required signal events), defining the CTA ability to detect a significant signal at short exposures. The resulting CTA differential flux sensitivity as a function of the observing time, obtained using the latest Monte Carlo simulations, is compared to the sensitivities of Fermi–LAT and current-generation IACTs obtained in the overlapping energy ranges.

Keywords

very-high-energy gamma rays;Cherenkov Telescope Array (CTA) Observatory;transient astrophysical sources;gamma-ray bursts;active galactic nuclei;

Data

Language: English
Year of publishing:
Typology: 1.08 - Published Scientific Conference Contribution
Organization: UNG - University of Nova Gorica
UDC: 539.1
COBISS: 215239427 Link will open in a new window
ISSN: 1824-8039
Views: 201
Downloads: 6
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Other data

Pages: 8 str.
Chronology: 2019
DOI: 10.22323/1.358.0673
ID: 25396073
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