We present a fast likelihood method for including event-level neutrino
telescope data in parameter explorations of theories for new physics, and
announce its public release as part of DarkSUSY 5.0.6. Our construction
includes both angular and spectral information about neutrino events, as well
as their total number. We also present a corresponding measure for simple model
exclusion, which can be used for single models without reference to the rest of
a parameter space. We perform a number of supersymmetric parameter scans with
IceCube data to illustrate the utility of the method: example global fits and a
signal recovery in the constrained minimal supersymmetric standard model
(CMSSM), and a model exclusion exercise in a 7-parameter phenomenological
version of the MSSM. The final IceCube detector configuration will probe almost
the entire focus-point region of the CMSSM, as well as a number of MSSM-7
models that will not otherwise be accessible to e.g. direct detection. Our
method accurately recovers the mock signal, and provides tight constraints on
model parameters and derived quantities. We show that the inclusion of spectral
information significantly improves the accuracy of the recovery, providing
motivation for its use in future IceCube analyses.
