Aachen 2019 – scientific programme

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T: Fachverband Teilchenphysik

T 11: Neutrino-Astronomie I

T 11.2: Talk

Monday, March 25, 2019, 16:15–16:30, S10

SkyLLH - A new experiment-independent framework for celestial log-likelihood analyses in multi-messenger astronomy — •Tomas Kontrimas and Martin Wolf for the IceCube collaboration — Technische Universität München, Physik-Department, James-Franck-Str. 1, 85748 Garching

Common analysis techniques in multi-messenger astronomy involve hypothesis tests with unbined log-likelihood (LLH) functions using recorded celestial data to identify sources of high-energy cosmic particles in the Universe. We present the new general Python tool "SkyLLH", which provides an experiment-independent framework for constructing log-likelihood functions to perform data analyses with recorded multi-messenger astronomy data. Such data could be data sets from different detectors, e.g. neutrino or gamma-ray event data sets from the IceCube Neutrino Observatory, or the Fermi-LAT, respectively. We highlight the current design goals of SkyLLH, which focus on time-integrated and time-optimized LLH analyses of IceCube data. However, possible future implementations of LLH functions for the Fermi-LAT within the SkyLLH framework will be discussed as well. In addition, we point out future prospects to target SkyLLH as a common analysis tool for the community of multi-messenger astronomy.