Apr 22 – 24, 2008
Palais Neptune Conference Center, Toulon
Europe/Paris timezone

Application of Kalman filter methods to event filtering and reconstruction for Neutrino Telescopy

Apr 23, 2008, 10:50 AM
20m
Salle Raimu-A (Palais Neptune Conference Center, Toulon)

Salle Raimu-A

Palais Neptune Conference Center, Toulon

Palais des Congrès Neptune Place de Besagne Centre Commercial Mayol
Contributed talk Parallel Session on Physics Parallel session on Physics

Speaker

Dr Apostolos Tsirigotis (Hellenic Open University)

Description

Event reconstruction in underwater neutrino telescopes suffers from a high background noise due to the $K^{40}$ decays. Adaptive algorithms are able to suppress automatically such a noise and therefore are considered as good candidates for track fitting at the KM3NeT environment. Adaptive algorithms, based on Kalman Filter methods, are extensively used in accelerator particle physics experiments, for event filtering, track reconstruction and vertex definition. In this note we describe an iterative event filtering and track reconstruction technique, employing Kalman Filter methods and we present results from a detailed simulation study concerning the KM3NeT detector. We evaluate the accuracy of this technique and we compare its efficiency with other standard track reconstruction methods.

Primary author

Dr Apostolos Tsirigotis (Hellenic Open University)

Co-author

Prof. Spyros Tzamarias (Hellenic Open University)

Presentation materials