Totem: a case study in HEP

TL;DR

The paper presents Totem, a neurochip based on Reactive Tabu Search, demonstrating its viability for real-time high-energy physics data processing and its application in Higgs search at LHC.

Contribution

It introduces the Totem neurochip architecture and showcases its effectiveness in high-energy physics applications, especially in Higgs boson searches.

Findings

Totem is a viable neurochip for HEP real-time tasks.

It effectively implements Reactive Tabu Search algorithm.

Demonstrated application in Higgs search at LHC.

Abstract

It is being proved that the neurochip \Totem{} is a viable solution for high quality and real time computational tasks in HEP, including event classification, triggering and signal processing. The architecture of the chip is based on a "derivative free" algorithm called Reactive Tabu Search (RTS), highly performing even for low precision weights. ISA, VME or PCI boards integrate the chip as a coprocessor in a host computer. This paper presents: 1) the state of the art and the next evolution of the design of \Totem{}; 2) its ability in the Higgs search at LHC as an example.