
Contributed to the silvest/HEPfit repository by delivering targeted improvements to theoretical model calculations in high energy physics. Over two months, addressed critical bugs in the GeneralTHDMZ2 and GTHDM modules, correcting parameter calculations and sign errors to ensure alignment with published research and canonical references. Enhanced the R1p observable computation by refactoring the codebase to incorporate next-to-leading order corrections, updating eigenvalue calculations for improved accuracy and maintainability. Emphasized code quality and reproducibility through disciplined version control and well-documented commits. Utilized C++ for development, applying expertise in numerical analysis, theoretical physics, and high energy physics to improve model reliability.
October 2025: Delivered critical corrections and refactor for R1p observables in GTHDM, boosting accuracy and maintainability of HEPfit predictions. Fixed sign errors in R1p calculation within GTHDM Z2Unitarity, aligning with canonical references (Cacchio 2016; Grinstein 2015). Refactored the R1p computation to incorporate NLO corrections, updating eigenvalues a_NLO and a_LO for blocks 00/01/10/11, and ensuring consistency with theoretical expectations.
October 2025: Delivered critical corrections and refactor for R1p observables in GTHDM, boosting accuracy and maintainability of HEPfit predictions. Fixed sign errors in R1p calculation within GTHDM Z2Unitarity, aligning with canonical references (Cacchio 2016; Grinstein 2015). Refactored the R1p computation to incorporate NLO corrections, updating eigenvalues a_NLO and a_LO for blocks 00/01/10/11, and ensuring consistency with theoretical expectations.
Monthly summary for 2025-08 focused on delivering a critical bug fix in the GeneralTHDMZ2 model to ensure accurate theoretical predictions and align with literature. The work emphasizes code quality, traceability via commits, and improved model reliability for downstream phenomenology.
Monthly summary for 2025-08 focused on delivering a critical bug fix in the GeneralTHDMZ2 model to ensure accurate theoretical predictions and align with literature. The work emphasizes code quality, traceability via commits, and improved model reliability for downstream phenomenology.

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