DUNE/duneprototypes
Jul 2025 – Jul 2025
1 Month active
Languages Used
C++Texttext
Technical Skills
Configuration ManagementData ConfigurationDetector Calibrationconfiguration managementdata configuration
Vyacheslav Galymov
PROFILE
Vyacheslav Galymov
Vladimir Galymov worked on the DUNE/duneprototypes repository, focusing on stabilizing and upgrading channel mapping data for the PD2VDTPC and PD2VDTopTPC detectors. He delivered the V2 channel map rollout, aligning decoding processes with the latest configuration and reverting previous changes to restore system stability. Using C++ and text-based configuration management, he ensured cross-detector compatibility by updating and validating mapping data, which improved data processing accuracy and reduced mapping-related errors. His work demonstrated depth in configuration management and detector calibration, resulting in a more reliable configuration that supports accurate analyses and facilitates smoother updates for future detector development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
20,480
Activity Months1
Your Network
319 people
Work History
July 2025
4 Commits • 1 Features
Jul 1, 2025July 2025 (2025-07) monthly summary for DUNE/duneprototypes. Focused on stabilizing and upgrading channel mapping data for PD2VDTPC/PD2VDTopTPC. Delivered the V2 channel map rollout and alignment of decoding with the latest configuration, while reverting prior channel map changes to restore stability. Impact: improved data processing accuracy, reduced mapping-related errors, and a stable configuration across detectors, enabling more reliable analyses and smoother future updates. Technologies demonstrated: configuration management, version control, data pipeline maintenance, and cross-detector mapping alignment.
4 Commits • 1 Features
Jul 1, 2025July 2025 (2025-07) monthly summary for DUNE/duneprototypes. Focused on stabilizing and upgrading channel mapping data for PD2VDTPC/PD2VDTopTPC. Delivered the V2 channel map rollout and alignment of decoding with the latest configuration, while reverting prior channel map changes to restore stability. Impact: improved data processing accuracy, reduced mapping-related errors, and a stable configuration across detectors, enabling more reliable analyses and smoother future updates. Technologies demonstrated: configuration management, version control, data pipeline maintenance, and cross-detector mapping alignment.
July 2025
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Texttext
Technical Skills
Configuration ManagementData ConfigurationDetector Calibrationconfiguration managementdata configuration
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