JETSCAPE/JETSCAPE
Jan 2025 – Jan 2026
3 Months active
Languages Used
C++XMLCMakeYAMLPython
Technical Skills
C++ DevelopmentCode RefactoringConfiguration ManagementData ProcessingData VisualizationHigh Energy Physics
ivandatta99@gmail.com
PROFILE
Ivandatta99@gmail.com
Contributed to the JETSCAPE/JETSCAPE repository by developing features and resolving bugs that enhanced data management, simulation fidelity, and code quality. Delivered 3D indexing and profiling outputs for improved data visualization, standardized grid mappings, and externalized LBT temperature data to support lower-temperature simulations. Established robust CI/CD pipelines and Docker-based deployment, integrating clang-format for automated code style enforcement. Refactored core calculations and improved parameterization in physics modules, while maintaining codebase clarity through targeted cleanup. Utilized C++, Python, and CMake to implement numerical methods, configuration management, and scientific computing workflows, resulting in more stable, maintainable, and accurate high-energy physics simulations.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
11Total
Bugs
3
Commits
11
Features
4
Lines of code
3,306,158
Activity Months3
Your Network
12 peopleWork History
January 2026
4 Commits • 2 Features
Jan 1, 2026Month: 2026-01 – Two major feature updates in the JETSCAPE LBT integration focused on data management and physics accuracy. Key outcomes include externalization of LBT temperature data, extending temperature tables to lower temperatures, refactoring LBT core calculations, and improving qhat parameterization in the Matter class. Maintenance work included deletion of outdated LBT tables and code cleansing to reduce technical debt and ease future work. These changes enhance hadronic-phase simulations, data maintainability, and overall model fidelity. Commit references captured for traceability: a1b624b9007ad9b47528bf89cc7f8aeebdbe2d33; 330040e134af686900b6b10d83379b80b6cdff53; 76d9aa61e48beb01edfb014aefe3ea4da45967d9; 744aae121985480e3344f44aa79185ae9f070013.
4 Commits • 2 Features
Jan 1, 2026Month: 2026-01 – Two major feature updates in the JETSCAPE LBT integration focused on data management and physics accuracy. Key outcomes include externalization of LBT temperature data, extending temperature tables to lower temperatures, refactoring LBT core calculations, and improving qhat parameterization in the Matter class. Maintenance work included deletion of outdated LBT tables and code cleansing to reduce technical debt and ease future work. These changes enhance hadronic-phase simulations, data maintainability, and overall model fidelity. Commit references captured for traceability: a1b624b9007ad9b47528bf89cc7f8aeebdbe2d33; 330040e134af686900b6b10d83379b80b6cdff53; 76d9aa61e48beb01edfb014aefe3ea4da45967d9; 744aae121985480e3344f44aa79185ae9f070013.
January 2026
October 2025
2 Commits • 1 Features
Oct 1, 2025For 2025-10, the focus was on establishing robust CI/CD and code quality infrastructure for the JETSCAPE/JETSCAPE repository, alongside stabilization of core initialization to improve numerical stability. Delivered a comprehensive CI/CD and code quality setup that enables automated build, deployment, issue templating, Docker-based deployment, and testing workflows, with clang-format integrated to enforce code style and quality. Also fixed a stability issue by setting the default of ModificationCorr to 1.0 across two source files, ensuring consistent initialization and more reliable calculations. These changes reduce deployment risk, accelerate iteration cycles, and improve maintainability and code quality. Technologies demonstrated include CI/CD pipelines, Docker deployment, clang-format, Git-based workflows, and automated testing frameworks.
October 2025
2 Commits • 1 Features
Oct 1, 2025For 2025-10, the focus was on establishing robust CI/CD and code quality infrastructure for the JETSCAPE/JETSCAPE repository, alongside stabilization of core initialization to improve numerical stability. Delivered a comprehensive CI/CD and code quality setup that enables automated build, deployment, issue templating, Docker-based deployment, and testing workflows, with clang-format integrated to enforce code style and quality. Also fixed a stability issue by setting the default of ModificationCorr to 1.0 across two source files, ensuring consistent initialization and more reliable calculations. These changes reduce deployment risk, accelerate iteration cycles, and improve maintainability and code quality. Technologies demonstrated include CI/CD pipelines, Docker deployment, clang-format, Git-based workflows, and automated testing frameworks.
January 2025
5 Commits • 1 Features
Jan 1, 2025January 2025: Delivered key capabilities to improve analytics, stability, and cross-package consistency in JETSCAPE. Implemented 3D indexing enhancements with profiling outputs, standardized 1D-to-3D mappings, and provided data visualization hooks. Fixed indexing/grid transposition discrepancies across core packages to align with JETSCAPE conventions and external packages. Reverted PbPb publication XML changes on the main branch to restore a stable baseline. These changes improve end-to-end visualization, data integrity, and maintainability for future development.
5 Commits • 1 Features
Jan 1, 2025January 2025: Delivered key capabilities to improve analytics, stability, and cross-package consistency in JETSCAPE. Implemented 3D indexing enhancements with profiling outputs, standardized 1D-to-3D mappings, and provided data visualization hooks. Fixed indexing/grid transposition discrepancies across core packages to align with JETSCAPE conventions and external packages. Reverted PbPb publication XML changes on the main branch to restore a stable baseline. These changes improve end-to-end visualization, data integrity, and maintainability for future development.
January 2025
Activity
Loading activity data...
Quality Metrics
Correctness87.2%
Maintainability85.4%
Architecture87.2%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakePythonXMLYAML
Technical Skills
C++C++ DevelopmentC++ developmentCode RefactoringConfiguration ManagementContinuous IntegrationData ProcessingData VisualizationDevOpsDockerHigh Energy PhysicsNumerical SimulationPhysics SimulationSoftware Engineeringalgorithm design
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline