Speaker
Description
This overview of the Monte Carlo (MC) simulation process at the four main experiments - ATLAS, CMS, ALICE, and LHCb - at the Large Hadron Collider (LHC) is provided in this talk. Given the complexity and noise of proton-proton collisions, simulated samples are essential for understanding and interpreting the experimental results, enabling precise measurements and searches for new physics. The general simulation workflow consists of three main stages: event generation, detector simulation, and digitization. This process is explored in all four experiments, identifying both shared methodologies and experiment-specific adaptations. Key software tools such as PYTHIA for event generation, GEANT4 for particle tracking, and dedicated experiment frameworks are discussed. In addition to highlighting the technical process, the presentation also addresses computational resources and the time required for these simulations. Looking ahead, the upcoming High-Luminosity LHC (HL-LHC) will amplify these challenges, necessitating improvements in the efficiency and scalability of simulation tools. This presentation aims to offer a structured understanding of LHC data simulation and its future directions.
