Speaker
David Gabriel Monk
(Northwestern University (US))
Description
High intensity beams, such as the M2 muon beam at CERN, provide a significant challenge to DAQ systems, in particular when reading out many sensors. For example, beam tests conducted by the MUonE experiment used silicon strip sensors with a bandwidth of 5 Gb/s per module.
Future beam tests will incorporate up to 18 of these modules connected to a triggerless readout system. Limits on processing and data storage will necessitate online event selection to be implemented on state-of-the-art AMD-Xilinx UltraScale+ FPGAs.
This talk will present a general purpose platform for online event selection, from simple occupancy cuts, to track reconstruction, vertexing and particle identification using low-latency machine learning.
Primary author
David Gabriel Monk
(Northwestern University (US))
