IMSA-CMS/CMSAnalysis
Jun 2025 – May 2026
7 Months active
Languages Used
C++
Technical Skills
C++Data AnalysisROOTC++ ProgrammingHigh Energy PhysicsROOT Framework
Brooke Hobbs
PROFILE
Brooke Hobbs
Developed and enhanced analysis workflows for the IMSA-CMS/CMSAnalysis repository, focusing on Higgs and Dark Photon studies in high energy physics. Built automated background fitting pipelines, parameterized histogram tools, and streamlined particle data models using C++ and the ROOT framework. Improved statistical modeling and data visualization by refining fit ranges, error propagation, and labeling conventions, which increased analysis accuracy and reproducibility. Integrated robust logging and debugging features to support maintainability and traceability. The work emphasized efficient data handling, background estimation, and signal processing, resulting in faster, more reliable physics analyses and seamless integration with existing scientific computing pipelines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
8
Lines of code
584,478
Activity Months7
Your Network
37 peopleSame Organization
@imsa.edu14
Shared Repositories
23
Aarya BajaJMember
Anwita KasturiMember
Anwita KasturiMember
Jayram PalamadaiMember
Blake HenningsMember
fCameron EddingtonMember
Daniel LimosneroMember
Hannah ChenMember
Izen WongMember
Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 — IMSA-CMS/CMSAnalysis: Delivered the Higgs Fitting and Histogram Analysis Toolkit, enabling robust histogram manipulation, background estimation methods, histogram overlay, and signal/background estimation for Higgs analyses. The work strengthens analysis accuracy, reproducibility, and workflow efficiency in Higgs studies and integrates cleanly with existing CMSAnalysis pipelines, enabling faster, more reliable physics conclusions.
1 Commits • 1 Features
May 1, 2026May 2026 — IMSA-CMS/CMSAnalysis: Delivered the Higgs Fitting and Histogram Analysis Toolkit, enabling robust histogram manipulation, background estimation methods, histogram overlay, and signal/background estimation for Higgs analyses. The work strengthens analysis accuracy, reproducibility, and workflow efficiency in Higgs studies and integrates cleanly with existing CMSAnalysis pipelines, enabling faster, more reliable physics conclusions.
May 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Focused refactor in IMSA-CMS/CMSAnalysis to streamline particle representation for analysis by removing dxy and dz parameters from particle classes and methods. This reduces data complexity, accelerates analysis pipelines, and lowers maintenance burden while preserving essential attributes.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Focused refactor in IMSA-CMS/CMSAnalysis to streamline particle representation for analysis by removing dxy and dz parameters from particle classes and methods. This reduces data complexity, accelerates analysis pipelines, and lowers maintenance burden while preserving essential attributes.
November 2025
2 Commits • 1 Features
Nov 1, 2025In November 2025, delivered consolidated Higgs fitting workflow enhancements for IMSA-CMS/CMSAnalysis, addressing both signal and background paths. The work tightened function call structure, clarified parameter handling during function creation, ensured consistent channel naming, and added enhanced logging to streamline debugging. Background improvements focused on fit function creation and histogram loading to support robust fitting workflows. Together, these changes improve fitting reliability, enable faster issue diagnosis, and lay groundwork for future extensions.
2 Commits • 1 Features
Nov 1, 2025In November 2025, delivered consolidated Higgs fitting workflow enhancements for IMSA-CMS/CMSAnalysis, addressing both signal and background paths. The work tightened function call structure, clarified parameter handling during function creation, ensured consistent channel naming, and added enhanced logging to streamline debugging. Background improvements focused on fit function creation and histogram loading to support robust fitting workflows. Together, these changes improve fitting reliability, enable faster issue diagnosis, and lay groundwork for future extensions.
November 2025
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025 Monthly Summary for IMSA-CMS/CMSAnalysis: Delivered Dark Photon Analysis plotting and data-loading enhancements, enabling end-to-end Dark Photon workflows with clear labeling of signal, background, and data. The work improved plotting configurability and data handling, enhancing reproducibility and collaboration for DP studies.
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025 Monthly Summary for IMSA-CMS/CMSAnalysis: Delivered Dark Photon Analysis plotting and data-loading enhancements, enabling end-to-end Dark Photon workflows with clear labeling of signal, background, and data. The work improved plotting configurability and data handling, enhancing reproducibility and collaboration for DP studies.
September 2025
5 Commits • 2 Features
Sep 1, 2025Month: 2025-09 — Focused on delivering scalable Higgs histogram parameterization and enhancing DarkPhoton data handling to improve modeling fidelity and analysis throughput. No standalone bug fixes were required this month; several enhancements addressed robustness and resource efficiency across the IMSA-CMS/CMSAnalysis repo, with direct business value in faster, more reliable fits and easier maintenance.
5 Commits • 2 Features
Sep 1, 2025Month: 2025-09 — Focused on delivering scalable Higgs histogram parameterization and enhancing DarkPhoton data handling to improve modeling fidelity and analysis throughput. No standalone bug fixes were required this month; several enhancements addressed robustness and resource efficiency across the IMSA-CMS/CMSAnalysis repo, with direct business value in faster, more reliable fits and easier maintenance.
September 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 — IMSA-CMS/CMSAnalysis: Implemented automated Higgs background fitting workflow and cross-year histogram aggregation to streamline background estimation, reducing manual steps and improving analysis readiness.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 — IMSA-CMS/CMSAnalysis: Implemented automated Higgs background fitting workflow and cross-year histogram aggregation to streamline background estimation, reducing manual steps and improving analysis readiness.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 — IMSA-CMS/CMSAnalysis delivered a set of enhancements to Drell-Yan background fitting and EventDumpModule, aimed at improving accuracy, provenance, and traceability to strengthen the reliability of background modeling and downstream physics results. Key outcomes include starting the fit range at 50 to reduce low-statistics bias, updating output naming for mapped vs standard fits, enabling weighted fits with proper Sumw2 histogram error handling, and reconfiguring the EventDumpModule with filters/parameters to improve statistical precision and traceability. Commits: 098364a941148c7d7b52220ee6123e715dde999a; 150de5f3d5ba26aecbc5c4991a87ca4c870a5262.
2 Commits • 1 Features
Jun 1, 2025June 2025 — IMSA-CMS/CMSAnalysis delivered a set of enhancements to Drell-Yan background fitting and EventDumpModule, aimed at improving accuracy, provenance, and traceability to strengthen the reliability of background modeling and downstream physics results. Key outcomes include starting the fit range at 50 to reduce low-statistics bias, updating output naming for mapped vs standard fits, enabling weighted fits with proper Sumw2 histogram error handling, and reconfiguring the EventDumpModule with filters/parameters to improve statistical precision and traceability. Commits: 098364a941148c7d7b52220ee6123e715dde999a; 150de5f3d5ba26aecbc5c4991a87ca4c870a5262.
June 2025
Activity
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Quality Metrics
Correctness80.6%
Maintainability78.8%
Architecture77.6%
Performance65.0%
AI Usage21.2%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ ProgrammingC++ programmingData AnalysisData VisualizationDebuggingHigh Energy PhysicsParticle PhysicsPlottingROOTROOT FrameworkScientific Computingbackground estimationdata analysishistogram manipulation
Repositories Contributed To
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