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New hybrid reconstruction techniques for first analyses of ultra-high energy gamma-ray data from the hybrid TAIGA detector

Subject Area Astrophysics and Astronomy
Term from 2018 to 2023
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 408077330
 
Final Report Year 2023

Final Report Abstract

Gamma-ray astronomy addresses the physics of the most energetic events in the universe. Observations of gamma-rays from astrophysical objects helps understanding their intrinsic processes. At gamma-ray energies in the TeV (10^12 eV) to PeV (10^15 eV) range, a low event rate requires very large instrumented detector areas, only achievable with ground-based experiments. The scalability of very large experiments is limited by the number of readout channels required per km2 . For a typical small size imaging air Cherenkov telescope (IACT), of the order of 1000 channels per IACT are needed. Increasing the distance between IACTs would help minimizing costs per square-km. The aim of the TAIGA collaboration is to establish a new hybrid reconstruction technique, with the help of which the distance between two telescopes can be increased up to 1000 m, thus maximizing the detector area for a given number of IACTs. Using such large separations between the IACTs, a stereoscopic reconstruction is no longer possible. A single IACT does not provide the same reconstruction quality as a stereoscopic system. However, a single IACT combined with precise incident angle and core position information from, e.g., a timing array can achieve a comparable reconstruction quality. The concept of TAIGA consists of widely spaced IACTs combined with a large area timing array (HiSCORE). The timing array provides good angular, energy, and core resolutions at high energies. The core position reconstructed by HiSCORE is used for image scaling of the IACT images, resulting in comparable gamma-hadron separation power as the classical stereoscopic approach. The aim of this project is to establish all necessary components / steps in order to implement a hybrid imaging-timing reconstruction of TAIGA data, therewith delivering a proof-of-principle of the hybrid concept. A detailed description of TAIGA can be found in our publications.

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