Data-Driven Validation of the Standard Model Higgs Boson via Advanced Background Modeling and Systematic Uncertainty

A comprehensive, open-source data analysis of the Standard Model Higgs boson is presented, utilizing simulated and public high-energy physics data. Modern fit techniques, advanced background modeling, and explicit systematic uncertainty analysis are employed to demonstrate that the observed Higgs signal is robustly validated with a mean error of less than 5% in the peak region. The entire analysis pipeline—including fit procedures and statistical tests (chi-square, R²)—is detailed for reproducibility and extension to other particles or decay channels.The author acknowledges the use of OpenAI’s language model for assistance in drafting certain sections of this workl<br>