Description
The on-shore DAQ system for a km3 scale underwater Neutrino
Telescope is required to read continuously the OMs (~10000) from the entire
telescope and perform filtering and aggregation of the data to search for
signatures of candidate muon and neutrino events. We propose the use of
reconfigurable computing architecture to filter and route the continuous
input data rates of about 1-10 Gb/s to processing units to apply calibration
functions and triggering for event building, and arrive at an output event
rate suitable for permanent storage to disk.
Auteur principal
Anastasios Belias
(NOA/NESTOR)
