
Over six months, Hsuan-Rong Jheng developed and enhanced data analysis pipelines for the sPHENIX-Collaboration/analysis repository, focusing on high-energy physics workflows. He implemented ROOT-based analytics and C++ modules for particle decay studies, beamspot reconstruction, and charged hadron multiplicity analysis, integrating Python and shell scripting for workflow automation and Condor-based distributed computing. His work included robust event filtering, diagnostic visualization, and modular plotting suites, improving data quality checks and reproducibility. By modernizing detector-specific workflows and optimizing job submissions, Hsuan-Rong enabled scalable, maintainable pipelines that support rapid iteration and reliable physics results, demonstrating depth in simulation, data processing, and software engineering.
April 2026 performance summary for sPHENIX-Collaboration/analysis: Delivered two major feature sets enabling rapid data analysis and visualization for ChargedHadronMultiplicity-SmallSystem; established scalable, ROOT-based analytics workflow. Focus was on feature development and pipeline automation to support downstream physics results.
April 2026 performance summary for sPHENIX-Collaboration/analysis: Delivered two major feature sets enabling rapid data analysis and visualization for ChargedHadronMultiplicity-SmallSystem; established scalable, ROOT-based analytics workflow. Focus was on feature development and pipeline automation to support downstream physics results.
March 2026 monthly summary for sPHENIX-Collaboration/analysis: Delivered core analytical capabilities for particle decay studies and improved code quality, enabling more reliable physics analyses and faster iteration. The work enhances decay characterization (cascade feeddown and decay-length related metrics), adds richer visualization through histogram enhancements, and reduces maintenance overhead via repository cleanup. Demonstrates strengths in C++/ROOT-based analysis tooling, HepMC event parsing, MVTX displacement handling, and disciplined code hygiene.
March 2026 monthly summary for sPHENIX-Collaboration/analysis: Delivered core analytical capabilities for particle decay studies and improved code quality, enabling more reliable physics analyses and faster iteration. The work enhances decay characterization (cascade feeddown and decay-length related metrics), adds richer visualization through histogram enhancements, and reduces maintenance overhead via repository cleanup. Demonstrates strengths in C++/ROOT-based analysis tooling, HepMC event parsing, MVTX displacement handling, and disciplined code hygiene.
January 2026 monthly summary for sPHENIX-Collaboration/analysis: delivered Beamspot Reconstruction Enhancements and MVTXTracklet Hit Handling Improvements, enhancing vertex reconstruction accuracy and robustness of MVTX tracking. No major bugs fixed this month; minor internal polish applied to improve maintainability. Key impact includes improved physics analysis reliability and laying groundwork for future MVTX improvements.
January 2026 monthly summary for sPHENIX-Collaboration/analysis: delivered Beamspot Reconstruction Enhancements and MVTXTracklet Hit Handling Improvements, enhancing vertex reconstruction accuracy and robustness of MVTX tracking. No major bugs fixed this month; minor internal polish applied to improve maintainability. Key impact includes improved physics analysis reliability and laying groundwork for future MVTX improvements.
April 2025 monthly summary for sPHENIX-Collaboration/analysis: Delivered Condor workflow optimization and plotting enhancements, with a focus on beamspot reconstruction, vertex Z reconstruction, and tracklet analysis. Refactoring reduced submission overhead, memory requests, and improved log handling. Plotting scripts were updated to enhance data handling, centrality binning, and cross-method comparisons. The changes were consolidated in a final release commit, ensuring reproducibility and stability.
April 2025 monthly summary for sPHENIX-Collaboration/analysis: Delivered Condor workflow optimization and plotting enhancements, with a focus on beamspot reconstruction, vertex Z reconstruction, and tracklet analysis. Refactoring reduced submission overhead, memory requests, and improved log handling. Plotting scripts were updated to enhance data handling, centrality binning, and cross-method comparisons. The changes were consolidated in a final release commit, ensuring reproducibility and stability.
February 2025 monthly summary for sPHENIX-Collaboration/analysis. Focused on delivering a robust, end-to-end Unified Analysis Pipeline and substantive detector-specific workflow improvements. Key outcomes include end-to-end enhancements to the physics analysis workflow, configurable input/output paths, a new cluster-analysis plotting suite, and improvements to beam spot, vertex, and tracklet reconstruction. Detector-specific INTT workflow modernization was implemented with Condor submissions, updated data structures, and enhanced plotting to support faster physics production and better reproducibility. Notable commits contributing to this work include e63c58bf772ec3713b4c117fd30a584b3f2b3a72 (update (analysis note v2)) and c8b38cfd1503e56bf219f6abadfdcd48849e9a3b (update, AN v3).
February 2025 monthly summary for sPHENIX-Collaboration/analysis. Focused on delivering a robust, end-to-end Unified Analysis Pipeline and substantive detector-specific workflow improvements. Key outcomes include end-to-end enhancements to the physics analysis workflow, configurable input/output paths, a new cluster-analysis plotting suite, and improvements to beam spot, vertex, and tracklet reconstruction. Detector-specific INTT workflow modernization was implemented with Condor submissions, updated data structures, and enhanced plotting to support faster physics production and better reproducibility. Notable commits contributing to this work include e63c58bf772ec3713b4c117fd30a584b3f2b3a72 (update (analysis note v2)) and c8b38cfd1503e56bf219f6abadfdcd48849e9a3b (update, AN v3).
December 2024 summary for sPHENIX-Collaboration/analysis focused on delivering production-ready enhancements for AuAu data and strengthening data quality checks. Key work includes updating the analysis module and production macro to support 2024 AuAu data with PHG4Hit and TrkrHit branches, refined centrality and trigger information retrieval, and the introduction of new production scripts/configs for 2024. Additionally, a BCO difference filtering workflow was added to detect INTT/GL1Packet anomalies, featuring adjacent-difference calculations, event filtering based on a defined cut, and diagnostic plots to visualize impacts on event properties and centrality. These efforts improve data integrity, reproducibility, and deployment readiness for the 2024 analysis pipeline.
December 2024 summary for sPHENIX-Collaboration/analysis focused on delivering production-ready enhancements for AuAu data and strengthening data quality checks. Key work includes updating the analysis module and production macro to support 2024 AuAu data with PHG4Hit and TrkrHit branches, refined centrality and trigger information retrieval, and the introduction of new production scripts/configs for 2024. Additionally, a BCO difference filtering workflow was added to detect INTT/GL1Packet anomalies, featuring adjacent-difference calculations, event filtering based on a defined cut, and diagnostic plots to visualize impacts on event properties and centrality. These efforts improve data integrity, reproducibility, and deployment readiness for the 2024 analysis pipeline.

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