IMSA-CMS/CMSAnalysis
Oct 2024 – May 2025
3 Months active
Languages Used
C++txt
Technical Skills
C++Data AnalysisObject-Oriented ProgrammingSystematic UncertaintiesC++ DevelopmentPlotting
Maya Kannan
PROFILE
Maya Kannan
Worked on the IMSA-CMS/CMSAnalysis repository to develop and refine a systematic uncertainty framework for high energy physics data analysis. Over three months, introduced a MultiSystematic class in C++ to aggregate and apply multiple uncertainties, integrated rate and shape-based systematic handling, and centralized logic for histogram updates. Refactored analysis and plotting components to improve uncertainty propagation, maintainability, and reproducibility, while transitioning cross-section data management from static files to a dynamic, integrated approach. Leveraged C++, object-oriented programming, and the ROOT framework to enhance the reliability and scalability of the analysis pipeline, supporting more robust and transparent physics results across workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
4
Lines of code
4,134
Activity Months3
Your Network
36 peopleSame Organization
@imsa.edu13
Shared Repositories
23
Aarya BajaJMember
Anwita KasturiMember
Anwita KasturiMember
Jayram PalamadaiMember
Blake HenningsMember
Brooke HobbsMember
fCameron EddingtonMember
Daniel LimosneroMember
Hannah ChenMember
Work History
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for IMSA-CMS/CMSAnalysis. Delivered a major overhaul of systematic uncertainty handling in the analysis pipeline and began migrating to integrated/dynamic cross-section data management. This work included refactoring analysis code, updating process definitions and file paths, and removing the static crossSections.txt to enable dynamic cross-section usage. The changes improve uncertainty propagation in plotting and data handling, increase pipeline reliability, and reduce maintenance overhead.
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for IMSA-CMS/CMSAnalysis. Delivered a major overhaul of systematic uncertainty handling in the analysis pipeline and began migrating to integrated/dynamic cross-section data management. This work included refactoring analysis code, updating process definitions and file paths, and removing the static crossSections.txt to enable dynamic cross-section usage. The changes improve uncertainty propagation in plotting and data handling, increase pipeline reliability, and reduce maintenance overhead.
May 2025
November 2024
8 Commits • 2 Features
Nov 1, 2024Month: 2024-11 — IMSA-CMS/CMSAnalysis Delivered end-to-end enhancements for systematic uncertainties in the Higgs analysis, including framework-level uncertainty handling, rate-based variations, and shape-based uncertainties. Refactored plotting to rely on HiggsCompleteAnalysis, added RateSystematic, and updated plot/config logic to better propagate uncertainties. Implemented a ShapeSystematic class to support shape-based variations with high/low adjustments and related code cleanups. Enhanced error handling in SuperImpose and plotting to reduce failures and improve robustness. These changes enable more reliable uncertainty propagation, faster scenario evaluation, and clearer, more reproducible histograms for physics results.
November 2024
8 Commits • 2 Features
Nov 1, 2024Month: 2024-11 — IMSA-CMS/CMSAnalysis Delivered end-to-end enhancements for systematic uncertainties in the Higgs analysis, including framework-level uncertainty handling, rate-based variations, and shape-based uncertainties. Refactored plotting to rely on HiggsCompleteAnalysis, added RateSystematic, and updated plot/config logic to better propagate uncertainties. Implemented a ShapeSystematic class to support shape-based variations with high/low adjustments and related code cleanups. Enhanced error handling in SuperImpose and plotting to reduce failures and improve robustness. These changes enable more reliable uncertainty propagation, faster scenario evaluation, and clearer, more reproducible histograms for physics results.
October 2024
2 Commits • 1 Features
Oct 1, 2024Month: 2024-10. This period focused on delivering a robust systemic uncertainty framework within IMSA-CMS/CMSAnalysis, laying groundwork for cohesive handling of multiple systematics and improving the reliability of histogram-based analyses. The work enhances scalability, maintainability, and overall analytic accuracy by centralizing systematics aggregation and application.
2 Commits • 1 Features
Oct 1, 2024Month: 2024-10. This period focused on delivering a robust systemic uncertainty framework within IMSA-CMS/CMSAnalysis, laying groundwork for cohesive handling of multiple systematics and improving the reliability of histogram-based analyses. The work enhances scalability, maintainability, and overall analytic accuracy by centralizing systematics aggregation and application.
October 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture76.6%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++txt
Technical Skills
C++C++ DevelopmentData AnalysisHigh Energy PhysicsObject-Oriented ProgrammingPlottingROOT FrameworkSystematic UncertaintiesSystematic Uncertainty Analysis
Repositories Contributed To
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