Task leads: Oliver Kortner (MPP), Verena Martinez Outschoorn (UMAS)

This task is responsible to develop fast algorithms on dedicated hardware for the Level-0 (L0) muon trigger system to cover use cases that are not part of the ATLAS baseline system for the HL-LHC. In the barrel region of ATLAS, the RPC detector technology is used to provide muon trigger candidates to the L0 MDT trigger processor where those candidates are either rejected or refined by making use of the superior spatial resolution of the MDT chambers. To improve the robustness of the L0 muon trigger system against the potential loss of performance due to aging RPC detectors, we propose extending the baseline system to rely on a smaller number of RPC chambers (as little as one) to provide seed triggers. This would significantly increase the number of candidates to be confirmed by the L0 MDT trigger processor. An additional goal of this proposal is to trigger directly on non-pointing signatures from the decay of long-lived exotic new particles. To achieve those goals, new algorithms need to be developed, possibly exploiting Machine Learning techniques, to fit within the hardware resources to perform the required muon trigger tasks within a maximum latency of 1.3 micro-seconds.