silvest/HEPfit
Nov 2024 – Oct 2025
11 Months active
Languages Used
C++MakefileC
Technical Skills
C++ DevelopmentData AnalysisHigh Energy PhysicsModel ImplementationTheoretical PhysicsData Interpolation
Antonio Coutinho
PROFILE
Antonio Coutinho
Antonio Coutinho developed advanced features and robust model enhancements for the silvest/HEPfit repository, focusing on the General Two Higgs Doublet Model with Z2 symmetry. He implemented new observables, parameterization schemes, and unitarity checks, integrating LEP OPAL data and refining numerical methods for high energy physics analyses. Using C++ and Makefile, Antonio applied object-oriented programming and code refactoring to improve maintainability and accuracy, addressing edge cases in data interpolation and parameter running. His work enabled more flexible model configurations, reliable Markov-chain analyses, and precise theoretical predictions, demonstrating deep domain knowledge and a disciplined approach to software development in theoretical physics.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
16Total
Bugs
4
Commits
16
Features
11
Lines of code
13,141
Activity Months11
Your Network
26 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a new TanbetaZ2 observable in GeneralTHDMZ2Unitarity to compute tan(beta) and registered it in ThObsFactory for seamless use within the HEPfit framework. This expands THDM parameterization capabilities and supports more robust phenomenological analyses. No major bugs fixed this month; feature-focused iteration enhancing modeling capabilities and business value. Commit reference: 5de8fe995fcf99cfe237444d78ab4b2524041f88.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a new TanbetaZ2 observable in GeneralTHDMZ2Unitarity to compute tan(beta) and registered it in ThObsFactory for seamless use within the HEPfit framework. This expands THDM parameterization capabilities and supports more robust phenomenological analyses. No major bugs fixed this month; feature-focused iteration enhancing modeling capabilities and business value. Commit reference: 5de8fe995fcf99cfe237444d78ab4b2524041f88.
October 2025
September 2025
4 Commits • 2 Features
Sep 1, 2025Concise monthly summary for 2025-09 focused on key features delivered, major bugs fixed, and overall impact for silvest/HEPfit.
September 2025
4 Commits • 2 Features
Sep 1, 2025Concise monthly summary for 2025-09 focused on key features delivered, major bugs fixed, and overall impact for silvest/HEPfit.
August 2025
2 Commits • 1 Features
Aug 1, 2025In August 2025, silvest/HEPfit delivered targeted improvements to the GeneralTHDMZ2 model, focusing on parameterization and core consistency checks to enable faster, more reliable Markov-Chain analyses and robust phenomenology outputs.
2 Commits • 1 Features
Aug 1, 2025In August 2025, silvest/HEPfit delivered targeted improvements to the GeneralTHDMZ2 model, focusing on parameterization and core consistency checks to enable faster, more reliable Markov-Chain analyses and robust phenomenology outputs.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for silvest/HEPfit: Achieved a targeted refactor of the GeneralTHDMZ2Unitarity component and introduced a reusable unitarity_Z2 base class to centralize initialization and common calculations (e.g., myZ2_at_Q). The change reduces redundant initializations, improves code reuse, and sets a foundation for consistent unitarity logic across THDM variants. This work strengthens maintainability and accelerates future feature development while preserving numerical correctness.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for silvest/HEPfit: Achieved a targeted refactor of the GeneralTHDMZ2Unitarity component and introduced a reusable unitarity_Z2 base class to centralize initialization and common calculations (e.g., myZ2_at_Q). The change reduces redundant initializations, improves code reuse, and sets a foundation for consistent unitarity logic across THDM variants. This work strengthens maintainability and accelerates future feature development while preserving numerical correctness.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary: Delivered a targeted enhancement to the GeneralTHDMZ2 model in silvest/HEPfit to improve unitarity accuracy and RG running fidelity. The changes enable conditional wavefunction renormalization (via a new use_wf_renorm flag) and expand RGEorder checks to cover approxNLO and NLO, increasing model flexibility, stability, and reliability of predictions for BSM analyses.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary: Delivered a targeted enhancement to the GeneralTHDMZ2 model in silvest/HEPfit to improve unitarity accuracy and RG running fidelity. The changes enable conditional wavefunction renormalization (via a new use_wf_renorm flag) and expand RGEorder checks to cover approxNLO and NLO, increasing model flexibility, stability, and reliability of predictions for BSM analyses.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for silvest/HEPfit: Delivered inert THDMZ2 model with parameter running. Implemented running from the THDM class with Wavefunction Renormalization (WFR) contributions to Z2 unitarity, and integrated with the THDM class with support for multiple RGE orders. This work enhances model fidelity, enables precise parameter scans for the inert THDMZ2 scenario, and strengthens unitarity checks under WFR. Commit reference: 2fee13c43868fcdfa0a405c00320e50e83bce945
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for silvest/HEPfit: Delivered inert THDMZ2 model with parameter running. Implemented running from the THDM class with Wavefunction Renormalization (WFR) contributions to Z2 unitarity, and integrated with the THDM class with support for multiple RGE orders. This work enhances model fidelity, enables precise parameter scans for the inert THDMZ2 scenario, and strengthens unitarity checks under WFR. Commit reference: 2fee13c43868fcdfa0a405c00320e50e83bce945
March 2025
1 Commits • 1 Features
Mar 1, 2025In 2025-03, silvest/HEPfit delivered NLO unitarity conditions for the General Two Higgs Doublet Model (GTHDM) with Z2 symmetry, including new classes and methods to compute eigenvalues related to unitarity, updated parameter handling for Z2 symmetry, and beta function calculations specific to Z2 symmetry. A bug fix was implemented to address missing RG running in the NLO pathway. These advancements strengthen theoretical consistency, enable more accurate unitarity analyses at NLO, and support robust Z2-based phenomenology.
1 Commits • 1 Features
Mar 1, 2025In 2025-03, silvest/HEPfit delivered NLO unitarity conditions for the General Two Higgs Doublet Model (GTHDM) with Z2 symmetry, including new classes and methods to compute eigenvalues related to unitarity, updated parameter handling for Z2 symmetry, and beta function calculations specific to Z2 symmetry. A bug fix was implemented to address missing RG running in the NLO pathway. These advancements strengthen theoretical consistency, enable more accurate unitarity analyses at NLO, and support robust Z2-based phenomenology.
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 focused on expanding Z2 model configurability in GeneralTHDM and tightening parameterization accuracy in GeneralTHDMZ2. Delivered two core items: (1) Added support for new Z2 model types in GeneralTHDM, including parameter settings (Nu_11r, Nd_11r, Nl_11r) across type1/type2/typeX/typeY and refactored the flag setting mechanism to validate string-based model-type flags. (2) Fixed Relambda7 calculation in GeneralTHDMZ2 by introducing a sin4b term and updating the complex Relambda7 formula to improve accuracy of physical parameterization. These changes improve modeling flexibility, reduce parameterization risk, and enable more reliable physics studies, with minor maintenance burden from the refactor.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 focused on expanding Z2 model configurability in GeneralTHDM and tightening parameterization accuracy in GeneralTHDMZ2. Delivered two core items: (1) Added support for new Z2 model types in GeneralTHDM, including parameter settings (Nu_11r, Nd_11r, Nl_11r) across type1/type2/typeX/typeY and refactored the flag setting mechanism to validate string-based model-type flags. (2) Fixed Relambda7 calculation in GeneralTHDMZ2 by introducing a sin4b term and updating the complex Relambda7 formula to improve accuracy of physical parameterization. These changes improve modeling flexibility, reduce parameterization risk, and enable more reliable physics studies, with minor maintenance burden from the refactor.
January 2025
1 Commits • 1 Features
Jan 1, 2025Month 2025-01: Implemented Z2 THDM Model Support (GeneralTHDMZ2) in silvest/HEPfit, expanding THDM capabilities with Z2 symmetry support. This included adding a new GeneralTHDMZ2 class, new Z2 model parameters, initialization, update, and parameter validation logic, and updating the ModelFactory to instantiate the new model. No major bugs reported; the work improves modeling flexibility and enables researchers to study Z2 scenarios within HEPfit.
1 Commits • 1 Features
Jan 1, 2025Month 2025-01: Implemented Z2 THDM Model Support (GeneralTHDMZ2) in silvest/HEPfit, expanding THDM capabilities with Z2 symmetry support. This included adding a new GeneralTHDMZ2 class, new Z2 model parameters, initialization, update, and parameter validation logic, and updating the ModelFactory to instantiate the new model. No major bugs reported; the work improves modeling flexibility and enables researchers to study Z2 scenarios within HEPfit.
January 2025
December 2024
1 Commits
Dec 1, 2024December 2024: Focused maintenance on silvest/HEPfit with a targeted bug fix to the 2D interpolation path for LEP data within the GTHDM workflow. Ensured correct interpolation for input data with three rows by updating interpolate2Dsteps, reducing the risk of incorrect physics results and improving downstream parameter estimation. No new features delivered this month; maintenance work enhances data integrity and reliability for analyses.
December 2024
1 Commits
Dec 1, 2024December 2024: Focused maintenance on silvest/HEPfit with a targeted bug fix to the 2D interpolation path for LEP data within the GTHDM workflow. Ensured correct interpolation for input data with three rows by updating interpolate2Dsteps, reducing the risk of incorrect physics results and improving downstream parameter estimation. No new features delivered this month; maintenance work enhances data integrity and reliability for analyses.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly highlights for silvest/HEPfit: Delivered feature work expanding GTHDM Higgs sector analysis to include A and W* decay channels. Implemented new observable classes and integrated LEP OPAL data tables to enable direct constraints on Higgs-sector parameters within LEP data, enhancing phenomenology capabilities. The work is documented by commit 977880d50b548b064f44ddd52f6a1bc9aadc6419 reflecting Hp searches in decays to A Wstar at LEP. No major bugs fixed this month; the focus was on feature delivery and data integration to broaden LEP-era data applicability for GTHDM studies. Business value: tighter, data-driven constraints on the Higgs sector and improved model discrimination. Tech skills demonstrated: observable-class design, LEP data integration, and robust, version-controlled development in silvest/HEPfit.
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly highlights for silvest/HEPfit: Delivered feature work expanding GTHDM Higgs sector analysis to include A and W* decay channels. Implemented new observable classes and integrated LEP OPAL data tables to enable direct constraints on Higgs-sector parameters within LEP data, enhancing phenomenology capabilities. The work is documented by commit 977880d50b548b064f44ddd52f6a1bc9aadc6419 reflecting Hp searches in decays to A Wstar at LEP. No major bugs fixed this month; the focus was on feature delivery and data integration to broaden LEP-era data applicability for GTHDM studies. Business value: tighter, data-driven constraints on the Higgs sector and improved model discrimination. Tech skills demonstrated: observable-class design, LEP data integration, and robust, version-controlled development in silvest/HEPfit.
November 2024
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Quality Metrics
Correctness83.8%
Maintainability84.4%
Architecture80.6%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++Makefile
Technical Skills
C++C++ DevelopmentCode RefactoringData AnalysisData InterpolationHigh Energy PhysicsInterpolationModel DevelopmentModel ImplementationModel ParameterizationNumerical AnalysisObject-Oriented ProgrammingParameterizationPhysicsPhysics Analysis
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