lsst/lsst-texmf
Jul 2025 – Jul 2025
1 Month active
Languages Used
YAML
Technical Skills
Configuration ManagementData ManagementDocumentation Management
Celine Combet
PROFILE
Celine Combet
Céline Combet developed user-defined miscentering functionality for dark matter halo surface density calculations in the LSSTDESC/CLMM repository, enabling researchers to specify miscentering distances and improving the flexibility of theoretical modeling. She implemented new Python interfaces, updated documentation, and created tests to validate the feature across multiple computational backends, supporting reproducibility and robust comparison with observational data. In the lsst/lsst-texmf repository, Céline enhanced author attribution by updating YAML-based configuration files, adding new author entries, and correcting data integrity issues. Her work demonstrated depth in scientific computing, configuration management, and data analysis, with careful attention to documentation and testing.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
2,877
Activity Months2
Work History
July 2025
4 Commits • 1 Features
Jul 1, 20252025-07 Monthly Summary for lsst/lsst-texmf: Key author attribution enhancements and data quality improvements. Implemented author and co-author entries, ensuring accurate attribution for SITCOMTN-161 and related work; corrected config integrity by fixing typos and trailing spaces in authordb.yaml.
4 Commits • 1 Features
Jul 1, 20252025-07 Monthly Summary for lsst/lsst-texmf: Key author attribution enhancements and data quality improvements. Implemented author and co-author entries, ensuring accurate attribution for SITCOMTN-161 and related work; corrected config integrity by fixing typos and trailing spaces in authordb.yaml.
July 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025Monthly summary for 2025-01 (LSSTDESC/CLMM): Delivered a new feature enabling user-defined miscentering for dark matter halo surface density and excess surface density calculations. The feature introduces new interfaces, updates documentation, and tests validating miscentering across multiple backends, plus a development notebooks directory for exploring implementation options. The work includes a committed theory prediction for miscentered haloes (#622). These changes enhance modeling flexibility, accuracy, and reproducibility, supporting more robust comparisons with observations and enabling researchers to experiment with miscentering parameters in a controlled, test-covered environment.
January 2025
1 Commits • 1 Features
Jan 1, 2025Monthly summary for 2025-01 (LSSTDESC/CLMM): Delivered a new feature enabling user-defined miscentering for dark matter halo surface density and excess surface density calculations. The feature introduces new interfaces, updates documentation, and tests validating miscentering across multiple backends, plus a development notebooks directory for exploring implementation options. The work includes a committed theory prediction for miscentered haloes (#622). These changes enhance modeling flexibility, accuracy, and reproducibility, supporting more robust comparisons with observations and enabling researchers to experiment with miscentering parameters in a controlled, test-covered environment.
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
AstrophysicsConfiguration ManagementCosmologyData AnalysisData ManagementDocumentation ManagementNumerical IntegrationScientific Computing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
LSSTDESC/CLMM
Jan 2025 – Jan 2025
1 Month active
Languages Used
Python
Technical Skills
AstrophysicsCosmologyData AnalysisNumerical IntegrationScientific Computing