Speaker
Dr
Michael Wilking
(TRIUMF)
Description
In the Hyper-K detector, all information about a given set of final state particles is encoded in a charge and a time for each photomultiplier tube. This new reconstruction algorithm, based on the method used by MiniBooNE (NIM A608, 206 (2009)), calculates time and charge probability distribution functions for every tube at each stage of a likelihood fit minimization. The particle light emission profiles, tank and water properties, and the response of the electronics are all treated separately, which makes it straightforward to incorporate any Cherenkov-emitting particle hypothesis, extend the algorithm to many different detector geometries, and reconstruct multi-particle final states within a common likelihood fit framework. A first version of the algorithm has been implemented for the Super-K detector, and preliminary performance comparisons to previously existing Super-K reconstructions algorithms will be presented. In addition, possible applications to future CP violation and proton decay measurements at Hyper-K will be discussed.
Primary author
Dr
Michael Wilking
(TRIUMF)
