gem/oq-engine
Mar 2025 – Mar 2025
1 Month active
Languages Used
Python
Technical Skills
GeophysicsSeismic Hazard AnalysisSoftware Development
Valeria Cascone
PROFILE
Valeria Cascone
Worked on the gem/oq-engine repository to enhance seismic hazard modeling by implementing advanced rupture parameter estimation features. Developed Python methods to calculate median rupture length and width from moment magnitude, including their standard deviations, which improves the accuracy of seismic risk assessments. Introduced new classes to represent normal and reverse fault types, allowing the model to capture a broader range of rupture behaviors relevant to geophysics and seismic hazard analysis. The work focused on feature delivery and code quality, with no major bug fixes during the period. These enhancements provide more reliable inputs for infrastructure planning and hazard evaluation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
132
Activity Months1
Your Network
32 peopleSame Organization
@ingv.it2
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30
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Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 performance summary for gem/oq-engine: Delivered enhanced rupture parameter estimation to strengthen seismic hazard modeling. Implemented methods to compute median rupture length and width from moment magnitude, with associated standard deviations, and introduced normal and reverse fault classes to capture different rupture behaviors. This work, linked to commit c6da261125f23b7e2f6f5ec1a67dc899de19466e, enables more accurate hazard estimates across fault types. No major bugs fixed this month; focus remained on feature delivery and code quality improvements. Overall impact: improved model fidelity, better risk assessment inputs for infrastructure planning, and stronger traceability for changes.
1 Commits • 1 Features
Mar 1, 2025March 2025 performance summary for gem/oq-engine: Delivered enhanced rupture parameter estimation to strengthen seismic hazard modeling. Implemented methods to compute median rupture length and width from moment magnitude, with associated standard deviations, and introduced normal and reverse fault classes to capture different rupture behaviors. This work, linked to commit c6da261125f23b7e2f6f5ec1a67dc899de19466e, enables more accurate hazard estimates across fault types. No major bugs fixed this month; focus remained on feature delivery and code quality improvements. Overall impact: improved model fidelity, better risk assessment inputs for infrastructure planning, and stronger traceability for changes.
March 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
GeophysicsSeismic Hazard AnalysisSoftware Development
Repositories Contributed To
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