TauPROP

TauPROP is a reference proposal for the experimental high-energy physics experiment TAU at the Large Hadron Collider (LHC) in CERN. It outlines the goals, requirements, and technical specifications for the detector's reconstruction and analysis.

The proposal was developed to address the challenges of reconstructing tau leptons in high-energy colliders, where these particles are frequently produced through the decay of Higgs bosons or top quarks. Current detectors have difficulty distinguishing between tracks from different charged particles in highly crowded environments like those found at LHC.

TauPROP proposes a novel approach to tau identification, using machine learning algorithms to distinguish between the decays of tau leptons and those from other particles. The system is intended to provide a robust and efficient method for reconstructing tau particles in a high-luminosity LHC environment.

The proposal includes a detailed description of the hardware and software components of the detector, as well as a strategy for calibrating and validating the reconstruction algorithm. It also includes an estimate of the expected performance of the system, based on simulations of various LHC benchmark processes.

Overall, the TauPROP proposal represents a significant step towards improving our understanding of the fundamental properties of tau leptons in high-energy physics. It offers a cutting-edge solution for the detection and analysis of these particles at the LHC, laying the groundwork for further studies into their behavior and interactions.