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As experiments in high energy physics aims to measure increasingly rareprocesses, the experiments continually strive to increase the expected signalyields. In the case of the High Luminosity upgrade of the LHC, the luminosityis raised by increasing the number of simultaneous proton-proton interactions,so-called pile-up. This increases the expected yields of signal and backgroundprocesses alike. The signal is embedded in a large background of processes thatmimic that of signal events. It is therefore imperative for the experiments todevelop new triggering methods to effectively distinguish the interestingevents from the background. We present a comparison of two methods forfiltering detector hits to be used for triggering on particle tracks: one basedon a pattern matching technique using Associative Memory (AM) chips and theother based on the Hough transform. Their efficiency and hit rejection areevaluated for proton-proton collisions with varying amounts of pile-up using asimulation of a generic silicon tracking detector. It is found that, while bothmethods are feasible options for an efficient track trigger, the AM basedpattern matching produces a lower number of hit combinations with respect tothe Hough transform whilst keeping more of the true signal hits. We alsopresent the effect on the two methods when increasing the amount of supportmaterial in the detector and introducing inefficiencies by deactivatingdetector modules. The increased support material has negligible effects on theefficiency for both methods, while dropping 5% (10%) of the available modulesdecreases the efficiency to about 95% (87%) for both methods, irrespectively ofthe amount of pile-up.

Comparison of two hardware-based hit filtering methods for trackers in high-pileup environments