
Over nine months, contributed to IMSA-CMS/CMSAnalysis by developing and refining core features for particle physics data analysis. Work included building a robust CMSSW toolchain configuration, implementing multi-year and pile-up scale factor frameworks, and enhancing histogram generation and invariant mass calculations. Leveraged C++ and the ROOT framework to improve data management, statistical modeling, and visualization workflows. Integrated systematic uncertainty handling and energy smearing for Higgs analyses, while maintaining reproducible builds and clear configuration management. Addressed integration issues and streamlined onboarding by documenting environment setup. The engineering approach emphasized modularity, maintainability, and accuracy, supporting scalable and reliable CMS data analysis pipelines.
May 2026 Monthly Summary for IMSA-CMS/CMSAnalysis: Delivered core feature enhancements, resolved integration issues, and improved energy calibration workflows, delivering measurable improvements in analysis fidelity and visualization clarity.
May 2026 Monthly Summary for IMSA-CMS/CMSAnalysis: Delivered core feature enhancements, resolved integration issues, and improved energy calibration workflows, delivering measurable improvements in analysis fidelity and visualization clarity.
April 2026 monthly summary for IMSA-CMS/CMSAnalysis focused on delivering clear, scalable enhancements to the Analysis Framework and improving data handling in the event processing pipeline. The work accelerates analytics accuracy and maintainability with traceable commits and well-scoped feature delivery.
April 2026 monthly summary for IMSA-CMS/CMSAnalysis focused on delivering clear, scalable enhancements to the Analysis Framework and improving data handling in the event processing pipeline. The work accelerates analytics accuracy and maintainability with traceable commits and well-scoped feature delivery.
Month: 2026-03 — Summary focused on delivering measurable business value through improvements to histogram weighting and scale factor calculations within IMSA-CMS/CMSAnalysis. The work enhances accuracy of event weights, improves handling of systematic uncertainties, and strengthens the maintainability of histogram processing logic.
Month: 2026-03 — Summary focused on delivering measurable business value through improvements to histogram weighting and scale factor calculations within IMSA-CMS/CMSAnalysis. The work enhances accuracy of event weights, improves handling of systematic uncertainties, and strengthens the maintainability of histogram processing logic.
In February 2026, IMSA-CMS/CMSAnalysis delivered a dedicated Pile Up Scale Factor Framework to improve CMS event analysis. The feature introduces new classes for reading and processing pile-up data, enabling more accurate scale factors used in particle physics analyses and strengthening the reliability of downstream analyses.
In February 2026, IMSA-CMS/CMSAnalysis delivered a dedicated Pile Up Scale Factor Framework to improve CMS event analysis. The feature introduces new classes for reading and processing pile-up data, enabling more accurate scale factors used in particle physics analyses and strengthening the reliability of downstream analyses.
December 2025 performance highlights: Delivered critical enhancements to IMSA-CMS/CMSAnalysis, focusing on robust histogram generation and invariant mass calculations. The work improves particle-type handling, ensures histograms are correctly created and filled from particle data, and adds invariant mass calculations for same-sign and opposite-sign pairs. These changes enhance analysis reliability, broaden analytical capabilities, and deliver tangible business value for CMS data analysis workflows.
December 2025 performance highlights: Delivered critical enhancements to IMSA-CMS/CMSAnalysis, focusing on robust histogram generation and invariant mass calculations. The work improves particle-type handling, ensures histograms are correctly created and filled from particle data, and adds invariant mass calculations for same-sign and opposite-sign pairs. These changes enhance analysis reliability, broaden analytical capabilities, and deliver tangible business value for CMS data analysis workflows.
Month: 2025-11 — IMSA-CMS/CMSAnalysis delivered key analytical and visualization enhancements to support Higgs analyses and new signal channels. Highlights include: 1) Lepton pairing enhancements and visualization for Higgs analyses with improved pairing logic, sorting, and invariant-mass visualizations across electron, muon, and tau combinations; related commits include edb42ec088d0448af558fb569b737cfc13353e4b, 42b775f4c373211357daa39c89f1dfc4bb3892f4, and 48f2be0279dae9fe0582b305bd6900c11a14ab29. 2) Added a Dark Photon BDT analysis channel to improve data collection for signal and background histograms, with commit aa43343b555e8f56181bdea3e0a1a4e5381ef27a. 3) Plotting and histogram configuration enhancements, including switching to a new histogram variable, refining analysis type handling, refactoring recoDecays handling, and improving visualization formatting; commits 87e9b74a7dba77054d05b4fd1ea2ad63a2fb8a37, b002acabe0cdfd7990e281f95136d81a003f7ff4 and 7eda45947e64d7a00761c7c29e9d237be8d53b52. While no explicit bug-fix release is logged this month, several enhancements address edge cases in lepton pairing, BDT output handling, and plotting consistency.
Month: 2025-11 — IMSA-CMS/CMSAnalysis delivered key analytical and visualization enhancements to support Higgs analyses and new signal channels. Highlights include: 1) Lepton pairing enhancements and visualization for Higgs analyses with improved pairing logic, sorting, and invariant-mass visualizations across electron, muon, and tau combinations; related commits include edb42ec088d0448af558fb569b737cfc13353e4b, 42b775f4c373211357daa39c89f1dfc4bb3892f4, and 48f2be0279dae9fe0582b305bd6900c11a14ab29. 2) Added a Dark Photon BDT analysis channel to improve data collection for signal and background histograms, with commit aa43343b555e8f56181bdea3e0a1a4e5381ef27a. 3) Plotting and histogram configuration enhancements, including switching to a new histogram variable, refining analysis type handling, refactoring recoDecays handling, and improving visualization formatting; commits 87e9b74a7dba77054d05b4fd1ea2ad63a2fb8a37, b002acabe0cdfd7990e281f95136d81a003f7ff4 and 7eda45947e64d7a00761c7c29e9d237be8d53b52. While no explicit bug-fix release is logged this month, several enhancements address edge cases in lepton pairing, BDT output handling, and plotting consistency.
Monthly work summary for 2025-10 focusing on IMSA-CMS/CMSAnalysis. Highlights include delivering cross-year scale factor management to enable robust multi-year analyses and reducing log noise for cleaner downstream processing. The work supports more accurate physics results and faster, more maintainable data processing pipelines.
Monthly work summary for 2025-10 focusing on IMSA-CMS/CMSAnalysis. Highlights include delivering cross-year scale factor management to enable robust multi-year analyses and reducing log noise for cleaner downstream processing. The work supports more accurate physics results and faster, more maintainable data processing pipelines.
September 2025 monthly summary for IMSA-CMS/CMSAnalysis: Delivered a Multi-Year Scale Factor Loading System to enable year-specific scale factor handling across multiple years and data sources with JSON-based configuration. Upgraded LeptonScaleFactor and related classes to correctly manage year-specific data and keys, improving flexibility and accuracy. Implemented the MultiYearScaleFactorReader to aggregate scale factor data across years and data sources, reducing manual data handling and improving analysis consistency.
September 2025 monthly summary for IMSA-CMS/CMSAnalysis: Delivered a Multi-Year Scale Factor Loading System to enable year-specific scale factor handling across multiple years and data sources with JSON-based configuration. Upgraded LeptonScaleFactor and related classes to correctly manage year-specific data and keys, improving flexibility and accuracy. Implemented the MultiYearScaleFactorReader to aggregate scale factor data across years and data sources, reducing manual data handling and improving analysis consistency.
In August 2025, IMSA-CMS/CMSAnalysis delivered a robust CMSSW toolchain configuration and environment setup, establishing reproducible builds and cross-tool compatibility. New configuration files define project settings, release information, and per-tool configurations for libraries such as abseil-cpp, alpaka, and boost to ensure reliable development and integration across CMSSW tooling. A compile-issues fix was implemented to stabilize the environment provisioning process. These changes reduce setup time, improve CI reliability, and accelerate onboarding for new contributors.
In August 2025, IMSA-CMS/CMSAnalysis delivered a robust CMSSW toolchain configuration and environment setup, establishing reproducible builds and cross-tool compatibility. New configuration files define project settings, release information, and per-tool configurations for libraries such as abseil-cpp, alpaka, and boost to ensure reliable development and integration across CMSSW tooling. A compile-issues fix was implemented to stabilize the environment provisioning process. These changes reduce setup time, improve CI reliability, and accelerate onboarding for new contributors.

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