Karlsruhe 2024 – scientific programme

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T: Fachverband Teilchenphysik

T 89: Gamma astronomy 4

T 89.4: Talk

Thursday, March 7, 2024, 16:45–17:00, Geb. 30.22: kl. HS A

Asimov Datasets for Gamma-ray Astronomy — •Stefan Fröse and Jan Lukas Schubert — TU Dortmund University, Dortmund, Germany

The hunt for dark matter is a very long-existing and still ongoing quest since the first evidence of its existence was uncovered by Fritz Zwicky and later by Vera Rubin investigating the rotation curves of galaxies. Today one of the most promising candidates for dark matter are weakly interacting massive particles (WIMPs). These particles can be detected indirectly by searching for their annihilation and decay products. Among other things, these products can cre- ate high-energy gamma rays detectable by Imaging Atmospheric Cherenkove Telescopes like MAGIC or CTA.

For the exclusion of different WIMP masses and annihilation or decay chan- nels, the sensitivity of the telescopes has to be known to sufficient precision. New methods for the calculation of upper limits based on the concept of the Asimov dataset[1], as already used by other high-energy experiments, are introduced and implemented in a new Python package called TITRATE. This package works as an extension to the already existing open-source analysis tool gammapy[2] and therefore will support any science products based on the Gamma Astro Data Formats (GADF)[3].

[1] https://doi.org/10.48550/arXiv.1007.1727

[2] https://doi.org/10.48550/arXiv.1709.01751

[3] https://doi.org/10.3390/universe7100374

Keywords: Gamma-ray Astronomy; Dark Matter; Test Statistics; Asimov