Speaker
Mr
Thomas Seitz
(ECAP - University of Erlangen (for the KM3NeT consortium))
Description
The future neutrino telescope KM3NeT, to be built in the Mediterranean Sea, will be the largest Cherenkov detector and will include several hundred thousands photomultiplier tubes (PMT). In the deep sea the dominant source of PMT signals are decays of K40 and marine fauna bioluminescence. Selection of neutrino and muon events from this continuous optical background signals requires the implementation of fast and efficient data filtering algorithms. Various schemes for the filtering of background data and the selection of neutrino and muon events were evaluated for the KM3NeT telescope using Monte Carlo simulations. The results obtained in this study will be presented in the talk.
Author
Mr
Thomas Seitz
(ECAP - University of Erlangen (for the KM3NeT consortium))
Co-authors
Mr
Björn Herold
(ECAP - University of Erlangen)
Dr
Rezo Shanidze
(ECAP - University of Erlangen)
