Speaker
Patrick Scott
(McGill University)
Description
I will discuss the new neutrino telescope likelihood routines in DarkSUSY. These are
based on a fast method for including event-level IceCube data in likelihood
calculations, and are optimised for global-fit type parameter explorations of
theories for new physics. The likelihood construction is not at all specific to
SUSY, and includes both angular and spectral information about neutrino events, as
well as their total number. I'll also discuss a corresponding measure for simple
model exclusion, which can be used for single models without reference to the rest of
a parameter space. I'll illustrate the use of the new routines with a number of
examples from the MSSM, and show that including spectral information significantly
improves model reconstructions.
Primary author
Patrick Scott
(McGill University)
