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bryngemark

PROFILE

Bryngemark

Lene Bryngemark contributed to the LDMX-Software/ldmx-sw repository by developing and enhancing data processing and reconstruction features for particle physics workflows. Over eight months, Lene engineered modules in C++ and Python to improve PF cluster filtering, electron identification, and pileup hit association, addressing challenges in high-occupancy event reconstruction. She implemented robust input validation, advanced data format decoders, and streamlined testbeam analysis pipelines, focusing on configuration management and error handling. Her work included refining command-line tools and logging mechanisms, resulting in more reliable data ingestion, clearer diagnostics, and maintainable code. The depth of her contributions strengthened analysis reproducibility and software reliability.

Overall Statistics

Feature vs Bugs

89%Features

Repository Contributions

13Total
Bugs
1
Commits
13
Features
8
Lines of code
3,016
Activity Months8

Work History

January 2026

2 Commits • 2 Features

Jan 1, 2026

January 2026 | LDMX Software (ldmx-sw) monthly summary Key deliverables: - Particle Flow Hit Association Enhancements (Pileup Hit Finding): Enhanced PF hit association, added pileup hit finding capabilities, and improved handling of indices for hits, clusters, and tracks. - Commit: a5b2a7325e45c85b7223504dfa2b7256c8ba3131 (PF hit association (#1856)) - Rogue Extract Script Enhancements (CLI Options and Parameter Handling): Expanded rogue-extract.py with new CLI options for output file specification and debugging, and refined handling of subsystem and contributor parameters. - Commit: 36f421eb2bbe13c9d9f885e1be93b962a9c8ee42 (Update rogue-extract.py (#1917)) Major bugs fixed: - No major bugs fixed reported for this period based on provided data. Overall impact and accomplishments: - Strengthened data quality and analysis readiness by improving PF-based event reconstruction in high pileup scenarios, enabling cleaner physics analyses. - Streamlined data extraction and reproducibility through enhanced CLI tooling and parameter handling for rogue-extract.py, reducing setup overhead and debugging time. Technologies/skills demonstrated: - Python scripting and command-line tooling (rogue-extract.py). - PF hit association algorithms and pileup handling within LDMX software stack. - Version control discipline and commit-driven development."

December 2025

1 Commits • 1 Features

Dec 1, 2025

December 2025: Delivered ESA TS Data Format Decoder for ZCCM Raw Data Processing in LDMX-Software/ldmx-sw. Added configuration scripts and stabilised peak/gain fits to enable more reliable data analysis and easier integration with ZCCM raw data pipelines. Result: improved data quality, faster onboarding of new data formats, and stronger pipeline reliability. No critical bugs fixed this month.

November 2025

1 Commits • 1 Features

Nov 1, 2025

2025-11 monthly summary for LDMX-Software/ldmx-sw. Key feature delivered: Improved Log Comparison and Logging Clarity. This update enhances log diff evaluation by ignoring timestamps, reducing false differences and adjusts the logging level for clearer diagnostics. Commit d540a21f694b45e81935745b4c5c986f790abd06 (Improve log diff in check.sh (#1871)).

July 2025

1 Commits • 1 Features

Jul 1, 2025

July 2025 monthly summary for LDMX-Software/ldmx-sw focusing on testbeam data processing enhancements and data workflow improvements.

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025 monthly summary for LDMX-Software/ldmx-sw: Implemented significant enhancements to the Particle Flow (PFlow) module by enabling it to consume existing non-tailored Ecal cluster collections and adding RMS calculations for Ecal clusters. The changes include input handling refactor, code cleanup, and adherence to formatting standards to improve maintainability and interoperability with existing data products.

May 2025

1 Commits • 1 Features

May 1, 2025

May 2025 focused on advancing PFTrack electron reconstruction within overlayed signal environments. Delivered enhancements to electron identification and energy correction, plus configuration options to tune electron tracking thresholds, resulting in more accurate particle reconstruction for ECAL/HCAL clusters. Implemented a targeted fix to ensure PFTrack correctly identifies electrons in signals with overlays, improving reconstruction fidelity in busy events and reducing mis-identification risk.

April 2025

1 Commits

Apr 1, 2025

April 2025 monthly summary for LDMX-Software/ldmx-sw. This period delivered a critical improvement to input validation and error reporting, enhancing data integrity and troubleshooting capabilities across the data ingestion path.

March 2025

5 Commits • 1 Features

Mar 1, 2025

March 2025 monthly summary: Delivered pass name filtering for PF cluster producers to enable targeted hit collection and improved reconstruction control for Ecal/Hcal. Implemented a new pass name parameter (hitPassName_) and configuration (hitPassName_), updated Ecal/Hcal hit data retrieval logic, and added corresponding headers to support pass-based filtering. This work enhances data organization, reproducibility, and analyst workflow with minimal downstream disruption. No major bugs fixed this period; focus remained on feature delivery and code hygiene across Python and C++ sources.

Activity

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Quality Metrics

Correctness82.4%
Maintainability83.0%
Architecture80.0%
Performance68.4%
AI Usage23.0%

Skills & Technologies

Programming Languages

C++PythonShell

Technical Skills

C++C++ DevelopmentC++ developmentCommand-line interface developmentConfiguration ManagementData AnalysisData ProcessingData StructuresData analysisData processingDetector SimulationError HandlingParticle Physics ReconstructionParticle Physics SoftwarePython scripting

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

LDMX-Software/ldmx-sw

Mar 2025 Jan 2026
8 Months active

Languages Used

C++PythonShell

Technical Skills

C++Configuration ManagementData ProcessingData StructuresSoftware DevelopmentSoftware Engineering

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