Speaker
Description
The precise determination of the Higgs boson mass is a fundamental objective in future high-energy physics experiments, particularly at the Compact Linear Collider (CLIC). This study uses a comprehensive simulation and analysis framework to examine the impact of the luminosity spectrum quality at 380 GeV on Higgs boson mass measurements. The beam-beam interaction effects were simulated with GUINEA-PIG, while event generation and parton-level processes were modeled using WHIZARD. The event reconstruction and data analysis were performed using ROOT, with multivariate classification techniques implemented via TMVA to optimize signal-to-background separation. We demonstrate a strong correlation between luminosity spectrum degradation and shifts in the Higgs boson mass distribution by analyzing the mean values and standard deviations of Landau and RooBifurGauss fitting functions across different energy regions. Additionally, classifier efficiency analysis underscores the crucial role of advanced machine learning techniques in enhancing precision measurements. These findings provide valuable insights into optimizing beam parameters and improving the accuracy of Higgs boson studies at future linear colliders.
| Abstract Category | Particle Physics |
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