Simple and statistically sound recommendations for analysing physical theories.

Physical theories that depend on many parameters or are tested against data from many different experiments pose unique challenges to statistical inference. Many models in particle physics, astrophysics and cosmology fall into one or both of these categories. These issues are often sidestepped with statistically unsound ad hoc methods, involving intersection of parameter intervals estimated by multiple experiments, and random or grid sampling of model parameters.

A facility to search for hidden particles at the CERN SPS: the SHiP physics case.

This paper describes the physics case for a new fixed target facility at CERN SPS. The SHiP (search for hidden particles) experiment is intended to hunt for new physics in the largely unexplored domain of very weakly interacting particles with masses below the Fermi scale, inaccessible to the LHC experiments, and to study tau neutrino physics. The same proton beam setup can be used later to look for decays of tau-leptons with lepton flavour number non-conservation, [Formula: see text] and to search for weakly-interacting sub-GeV dark matter candidates.

Correlation of B(s) --> mu(+)mu(-) and (g - 2)(mu) in minimal supergravity.

We analyze the decay mode B(s)-->mu(+)mu(-) in minimal supergravity (mSUGRA). We find that the recently measured excess in (g-2)(mu), if interpreted within mSUGRA, is correlated with a substantial enhancement of the branching ratio Beta(B(s)-->mu(+)mu(-)): if (g-2)(mu) exceeds the standard model prediction by 4 x 10(-9), Beta(B(s)-->mu(+)mu(-)) is larger by a factor of 10-100 and within reach of Run-II of the Tevatron. Thus the search for B(s)-->mu(+)mu(-) is a stringent test of the GUT scale relations of mSUGRA.