A parallel non-neural trigger tracker for the SSC

Addresses the need for real-time triggering and track reconstruction for the Superconducting Super Collider (SSC). A benchmarked and buildable algorithm, operable at the required data rates, is described. The authors propose a simple algorithm and parallel systems architecture which reconstructs the particle tracks given event data from the silicon detector system. This architecture is capable of triggering on interesting events using operations no more complex than integer comparison and table lookup. The associated hardware architecture using only conventional technology is presented. The algorithm has been tested on fully scaled up, extensively detailed simulated SSC events, with encouraging results. Preliminary hardware analysis indicates that the trigger/tracker may be built within proposed SSC budget guidelines