EXCEEDS logo
Exceeds
lluism

PROFILE

Lluism

Worked on the FRBs/FRB repository to enhance scientific computing workflows for astronomy data analysis. Developed robust plotting features for redshift and magnitude analyses, refining code to support automation and reproducibility. Addressed edge-case issues in magnitude and luminosity calculations by introducing a minimum redshift cap, improving numerical stability and data reliability for downstream analytics. Applied code refactoring and cleanup to maintain readability without altering functionality, and improved output configuration for plotting routines. Leveraged Python, data visualization libraries, and scripting to deliver maintainable solutions that support both interactive research and automated pipelines, focusing on reliability and clarity in scientific data processing.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

5Total
Bugs
2
Commits
5
Features
2
Lines of code
76
Activity Months3

Work History

August 2025

1 Commits

Aug 1, 2025

August 2025 — FRBs/FRB. Focused on stabilizing luminosity calculations by addressing an edge-case in redshift handling. Implemented a minimum redshift cap of 0.02 to prevent instability in L* computations, improving data quality for downstream analytics and reporting. The fix is recorded in commit 146fe0cddd3b77e006f3939d6bf972f3c035b156 with description 'redshit limit for L calc'.

July 2025

1 Commits

Jul 1, 2025

July 2025 monthly summary for FRBs/FRB repository. Focused on hardening numerical stability in magnitude calculations by capping z_min at 0.02 and integrating this cap into the m_r_Lstar_min calculation. Result: more reliable low-redshift behavior and reduced edge-case failures in the FRB magnitude pipeline.

April 2025

3 Commits • 2 Features

Apr 1, 2025

April 2025 performance summary for FRBs/FRB. Focused on delivering robust plotting features for redshift analyses and aligning plotting code with automation needs. Key contributions include targeted plotting enhancements, resolution of redshift range and output path issues, and a clean-up pass that improves maintainability without changing behavior. These improvements enhance data interpretation, reproducibility, and pipeline reliability.

Activity

Loading activity data...

Quality Metrics

Correctness84.0%
Maintainability84.0%
Architecture72.0%
Performance68.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Astronomy SoftwareCode RefactoringData AnalysisData VisualizationPlotting LibrariesScientific ComputingScripting

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

FRBs/FRB

Apr 2025 Aug 2025
3 Months active

Languages Used

Python

Technical Skills

Astronomy SoftwareCode RefactoringData VisualizationPlotting LibrariesScientific ComputingScripting