Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz

AKPIK 1: Arbeitskreis Physik, IT & KI (AKPIK) I

AKPIK 1.4: Vortrag

Montag, 19. März 2018, 17:30–17:45, 70 - HS 00.107

Prototyping CTA's Real-Time-Analysis — •Kai Arno Brügge¹, Alexey Egorov², and Maximilian Nöthe¹ — ¹TU Dortmund, Astroparticle Physics, Dortmund, Germany — ²TU Dortmund, Artificial Intelligence, Dortmund, Germany

The Cherenkov Telescope Array (CTA) will be able to map the gamma-ray sky in a wide energy range from several tens of GeV to some hundreds of TeV and will be more sensitive than previous experiments by an order of magnitude. It opens up the opportunity to observe transient phenomena like gamma-ray bursts (GRBs) and flaring active galactic nuclei (AGN).

In order to successfully trigger multi-wavelength observations of transients, CTA has to be able to alert other observatories as quickly as possible. Multi-wavelength observations are essential for gaining insights into the processes occurring within these sources of such high energy radiation.

During observation CTA will produce a stream of up to 20 000 images per second. Multivariate machine learning models are applied to the data stream in real time to perform background suppression and energy estimation. Restricted computing power of a single machine and the limits of network data transfer rates become a bottleneck for stream processing systems in a traditional single-machine setting. We use the Apache Flink framework for distributed stream analysis on multiple machines. Here we present results of our investigation and show a first prototype capable of analyzing CTA data in real time.