Media The SkyLLH framework for IceCube point-source search

The SkyLLH framework for IceCube point-source search

  • 45 views

  • 0 favorites

  • uploaded June 25, 2021

Discussion timeslot (ZOOM-Meeting): 15. July 2021 - 18:00
ZOOM-Meeting URL: https://desy.zoom.us/j/91999581729
ZOOM-Meeting ID: 91999581729
ZOOM-Meeting Passcode: ICRC2021
Corresponding Session: https://icrc2021-venue.desy.de/channel/37-Reconstruction-amp-Analysis-Techniques-NU/126
Live-Stream URL: https://icrc2021-venue.desy.de/livestream/Discussion-05/6

Abstract:
'Hypothesis tests based on 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 multi-messenger astronomy data. Specific SkyLLH framework features for a new and improved time-integrated IceCube point-source analysis are highlighted, including the support for kernel density estimation (KDE) based probability density functions. In addition, the support for a variety of point-source analysis types, such as stacked and time-variable searches, will be presented.'

Authors: Tomas Kontrimas | Martin Wolf | for the IceCube Collaboration
Collaboration: IceCube

Indico-ID: 818
Proceeding URL: https://pos.sissa.it/395/1073

Tags:
Categories: Neutrino, Scientific Contributions
Presenter: Tomas Kontrimas

Additional files