Dortmund 2021 – scientific programme

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T: Fachverband Teilchenphysik

T 67: Neutrino astronomy III

T 67.2: Talk

Wednesday, March 17, 2021, 16:15–16:30, Tq

The SkyLLH framework for IceCube point-source search — •Tomas Kontrimas and Martin Wolf for the IceCube collaboration — Technische Universität München

The hypothesis tests with unbinned log-likelihood (LLH) functions are a common technique used in multi-messenger astronomy, including IceCube's neutrino point-source searches. We present the general Python-based tool "SkyLLH", which provides a modular framework for implementing and executing log-likelihood functions to perform data analyses with recorded multi-messenger astronomy data from multiple experiments. Specific SkyLLH framework features for a new and improved IceCube point-source analysis are highlighted, including the support for kernel density estimation (KDE) based probability density functions. In addition, the future development goals of the SkyLLH framework as a common analysis tool for the multi-messenger community will be discussed.