DUNE/waffles
Aug 2025 – Aug 2025
1 Month active
Languages Used
Python
Technical Skills
Configuration ManagementData Processing
Maritza Juliette Delgado Gonzalez
PROFILE
Maritza Juliette Delgado Gonzalez
During August 2025, Delgadog contributed to the DUNE/waffles repository by implementing PMT processing support for the new VD_PMT_PDS detector type. Using Python and leveraging skills in configuration management and data processing, Delgadog extended existing scripts to recognize the new detector, assigned appropriate suffixes and labels, and configured the processing pipeline to route PMT data accordingly. This work enabled the system to process data from VD_PMT_PDS, improving both data fidelity and pipeline efficiency. The changes were version-controlled and focused on broadening detector coverage, reflecting a targeted and well-structured engineering approach within a short development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
8
Activity Months1
Your Network
20 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for DUNE/waffles. Delivered PMT Processing Support for the VD_PMT_PDS detector, enabling PMT data processing and advancing production readiness. Key work: introduced new detector type VD_PMT_PDS, updated scripts to recognize it, assigned suffixes/labels, and configured the processing pipeline to route PMT data accordingly. Commit 4415d754ead74586016f1b92fb3892b321d06260 implemented labeling for PMT processing. No critical bugs reported this month; the enhancements broaden detector coverage and improve data routing and processing throughput. Overall impact: enables PMT-based data processing for VD_PMT_PDS, enhancing data fidelity and pipeline efficiency. Technologies/skills demonstrated: detector-type extension, scripting updates, labeling schemes, pipeline configuration, version-controlled changes.
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for DUNE/waffles. Delivered PMT Processing Support for the VD_PMT_PDS detector, enabling PMT data processing and advancing production readiness. Key work: introduced new detector type VD_PMT_PDS, updated scripts to recognize it, assigned suffixes/labels, and configured the processing pipeline to route PMT data accordingly. Commit 4415d754ead74586016f1b92fb3892b321d06260 implemented labeling for PMT processing. No critical bugs reported this month; the enhancements broaden detector coverage and improve data routing and processing throughput. Overall impact: enables PMT-based data processing for VD_PMT_PDS, enhancing data fidelity and pipeline efficiency. Technologies/skills demonstrated: detector-type extension, scripting updates, labeling schemes, pipeline configuration, version-controlled changes.
August 2025
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Configuration ManagementData Processing
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