
Anirban Karan contributed to the silvest/HEPfit repository by enhancing the accuracy and maintainability of theoretical physics models in C++. He corrected parameter calculations in the GeneralTHDMZ2 model, aligning the code with published research to improve the reliability of phenomenological predictions. In subsequent work, he refactored the R1p observable computation in GTHDM, incorporating next-to-leading order corrections and resolving sign errors to ensure consistency with canonical references. His approach emphasized rigorous version control, traceable commits, and adherence to established methodologies. Leveraging skills in C++ development, numerical analysis, and high energy physics, Anirban delivered focused, high-quality improvements to complex scientific software.

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.
Overview of all repositories you've contributed to across your timeline