Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/23600
Title: | Parallel waveform extraction algorithms for the Cherenkov Telescope Array Real-Time Analysis | Authors: | Zoli, A. BULGARELLI, ANDREA De Rosa, A. Aboudan, A. FIORETTI, VALENTINA DE CESARE, GIOVANNI Marx, R. |
Issue Date: | 2015 | Journal: | POS PROCEEDINGS OF SCIENCE | Volume: | 34th International Cosmic Ray Conference (ICRC2015) | Number: | 236 | First Page: | 944 | Abstract: | The Cherenkov Telescope Array (CTA) is the next generation observatory for the study of very high-energy gamma rays from about 20 GeV up to 300 TeV. Thanks to the large effective area and field of view, the CTA observatory will be characterized by an unprecedented sensitivity to transient flaring gamma-ray phenomena compared to both current ground (e.g. MAGIC, VERITAS, H.E.S.S.) and space (e.g. Fermi) gamma-ray telescopes. In order to trigger the astrophysics community for follow-up observations, or being able to quickly respond to external science alerts, a fast analysis pipeline is crucial. This will be accomplished by means of a Real-Time Analysis (RTA) pipeline, a fast and automated science alert trigger system, becoming a key system of the CTA observatory. Among the CTA design key requirements to the RTA system, the most challenging is the generation of alerts within 30 seconds from the last acquired event, while obtaining a flux sensitivity not worse than the one of the final analysis by more than a factor of 3. A dedicated software and hardware architecture for the RTA pipeline must be designed and tested. We present comparison of OpenCL solutions using different kind of devices like CPUs, Graphical Processing Unit (GPU) and Field Programmable Array (FPGA) cards for the Real-Time data reduction of the Cherenkov Telescope Array (CTA) triggered data. | Conference Name: | 34th International Cosmic Ray Conference (ICRC2015) | Conference Place: | The Hague, The Netherlands | Conference Date: | July 30 - August 6, 2015 | URI: | http://hdl.handle.net/20.500.12386/23600 | URL: | https://pos.sissa.it/236/944 | ISSN: | 1824-8039 | DOI: | 10.22323/1.236.0944 | Bibcode ADS: | 2015ICRC...34..944Z | Fulltext: | open |
Appears in Collections: | 3.01 Contributi in Atti di convegno |
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1509.01953.pdf | preprint | 72.38 kB | Adobe PDF | View/Open |
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