Speaker
Description
Astroparticle physics measures cosmic rays using particle detector systems that function as telescopes for detecting subatomic particles of extraterrestrial origin. As part of current multi-messenger astronomy, its models and methods bridge the gap between astrophysics, cosmology, and particle physics. My talk focuses on the causal models underlying the data analysis of the IceCube neutrino observatory at the South Pole and the probabilistic features of these models. Based on recent IceCube results, my talk will focus on three questions: (1) What kind of causal modelling underlies the probabilistic data analysis? (2) How does this causal modelling relate to philosophical accounts of causality and probability? (3) What kinds of signature are crucial for the identification of specific neutrino events and the causal reconstruction of their origin?