igmhub/picca
Dec 2024 – Dec 2024
1 Month active
Languages Used
Python
Technical Skills
AstrophysicsCommand-line InterfaceCommand-line Interface (CLI)Data AnalysisData FilteringScientific Computing
cesar ramirez
PROFILE
Cesar Ramirez
Developed a redshift-error aware pixel-pair analysis feature for the igmhub/picca repository, enhancing data quality and reliability in cosmological workflows. The work introduced new command-line interface options in Python, enabling users to filter pixel pairs by both angular distance and redshift difference. This approach enforced safe configuration by requiring both angular and velocity space thresholds to be specified together, reducing the risk of contamination from redshift errors. The implementation updated core scientific computing routines for pair computation, resulting in more accurate pixel-pair selections and reproducible analysis pipelines. The project leveraged skills in astrophysics, data filtering, and command-line interface development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
165
Activity Months1
Your Network
13 peopleSame Organization
@ifae.es3
Shared Repositories
10
Work History
December 2024
2 Commits • 1 Features
Dec 1, 2024Month: December 2024 (igalactic development track) – igmhub/picca Key contributions focused on delivering robust redshift-error aware pixel-pair analysis, improving data quality and pipeline reliability for cosmology workflows.
2 Commits • 1 Features
Dec 1, 2024Month: December 2024 (igalactic development track) – igmhub/picca Key contributions focused on delivering robust redshift-error aware pixel-pair analysis, improving data quality and pipeline reliability for cosmology workflows.
December 2024
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AstrophysicsCommand-line InterfaceCommand-line Interface (CLI)Data AnalysisData FilteringScientific Computing
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