Conveners
A4: Simulation and Machine Learning Techniques
- Edward Nkadimeng (University of the Witwatersrand)
Accurate reconstruction of charged particle trajectories and measurement of their parameters (tracking) is one of the major challenges of the CMS experiment. A precise and efficient tracking is one of the critical components of the CMS physics program as it impacts the ability to reconstruct the physics objects needed to understand proton-proton collisions at the LHC. In this work, we describe...
The purpose of the cosmic muon veto (CMV) detector is to investigate the feasibility of constructing a large-scale neutrino experiment at shallow depths. An extruded plastic scintillator (EPS)-based active veto system for cosmic ray muons is being built around the existing miniICAL detector, which is a scaled-down version of the proposed ICAL detector, at the transit campus of India-based...
Nearly all physics analyses at CMS rely on precise reconstruction of particles from their signatures in the experiment’s calorimeters. This requires both assignment of energy deposits to particles and recovery of various properties across the detector. These tasks have traditionally been performed by classical algorithms and BDT regressions, both of which rely on human-engineered high level...
Future electron-positron colliders require precise energy resolution of jets to measure the Standard Model particles and explore new physics. A novel electromagnetic calorimeter (ECAL) with transverse crystal bars has been proposed for the future electron-positron collider experiments, offering high intrinsic energy resolution, 3D granularity required by the Particle Flow Approach (PFA) and...
We present an innovative upgrade to the CMS Level-1 Muon trigger for the High Luminosity LHC (HL-LHC) era. The upgrade includes a new, modular, ATCA, time-multiplexed, platform that hosts large FPGAs and can run a variety of muon reconstruction algorithms, including Machine Learning based ones. The system also takes advantage of the availability of tracks at the Level-1 from the CMS track...