gwastro/pycbc
Nov 2024 – Oct 2025
7 Months active
Languages Used
PythonC++
Technical Skills
Code CompatibilityData Type ConversionNumPyAstrophysicsLibrary DevelopmentScientific Computing
Thomas-JACQUOT
PROFILE
Thomas-jacquot
Thomas Jacquot developed and maintained advanced sky grid generation, visualization, and workflow automation features for the gwastro/pycbc repository, focusing on astrophysical data analysis and scientific computing. He engineered distribution-based sky grid generation supporting FisherSky and HealpixSky, integrated HDF5 data handling, and automated workflows to reduce manual intervention. Using Python and NumPy, Thomas refactored input validation, improved API ergonomics, and ensured compatibility with evolving libraries. He addressed legacy data visualization by restoring plotting for historical sky grid formats and enhanced robustness through rigorous error handling and data validation. His work demonstrated depth in code refactoring, data processing, and workflow management.
Overall Statistics
Feature vs Bugs
56%Features
Repository Contributions
11Total
Bugs
4
Commits
11
Features
5
Lines of code
673
Activity Months7
Your Network
19 people
Work History
October 2025
1 Commits
Oct 1, 2025October 2025: Maintained and stabilized legacy sky grid plotting in gwastro/pycbc. Implemented a focused bug fix to pygrb_plot_skygrid that correctly handles legacy sky grid data and input distributions, including explicit RA/Dec and sky error, and resolved file path resolution issues. Refactored input distribution handling to properly interpret and persist legacy configurations, restoring plotting functionality for legacy cases. This work reduces user confusion and supports continued visibility and analysis of historical data.
1 Commits
Oct 1, 2025October 2025: Maintained and stabilized legacy sky grid plotting in gwastro/pycbc. Implemented a focused bug fix to pygrb_plot_skygrid that correctly handles legacy sky grid data and input distributions, including explicit RA/Dec and sky error, and resolved file path resolution issues. Refactored input distribution handling to properly interpret and persist legacy configurations, restoring plotting functionality for legacy cases. This work reduces user confusion and supports continued visibility and analysis of historical data.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Completed the GRB Sky Grid Visualization feature for gwastro/pycbc, integrating sky grid plotting into the GRB analysis workflow and enabling visualization of sky grid files over antenna patterns and input distributions. This enhances spatial analysis, reporting, and localization context for GRB events. No major bugs fixed this month; primary focus on delivering a robust visualization feature and upgrading the plotting script.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Completed the GRB Sky Grid Visualization feature for gwastro/pycbc, integrating sky grid plotting into the GRB analysis workflow and enabling visualization of sky grid files over antenna patterns and input distributions. This enhances spatial analysis, reporting, and localization context for GRB events. No major bugs fixed this month; primary focus on delivering a robust visualization feature and upgrading the plotting script.
July 2025
1 Commits
Jul 1, 2025July 2025 — gwastro/pycbc: Focused on validating and hardening the GRB information table workflow. Delivered robust input validation, improved sky-coordinate handling, and ensured consistent return types to reduce downstream errors. These changes enhance reliability of GRB data processing, improve user experience, and simplify future maintenance and enhancements.
1 Commits
Jul 1, 2025July 2025 — gwastro/pycbc: Focused on validating and hardening the GRB information table workflow. Delivered robust input validation, improved sky-coordinate handling, and ensured consistent return types to reduce downstream errors. These changes enhance reliability of GRB data processing, improve user experience, and simplify future maintenance and enhancements.
July 2025
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for gwastro/pycbc highlighting delivery of distribution-based sky grid capabilities and workflow automation, with emphasis on business value and technical achievements.
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for gwastro/pycbc highlighting delivery of distribution-based sky grid capabilities and workflow automation, with emphasis on business value and technical achievements.
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for gwastro/pycbc: Delivered two high-impact updates that improve data integrity, reliability, and user experience in core workflows. Implemented Enhanced Sky Grid data handling with HDF5 integration by leveraging SkyGrid class capabilities, fixed an angular convention error in coordinate conversion, and added sanity checks for RA/DEC to ensure accurate sky grid outputs, reducing data corruption risk in downstream analyses. Strengthened PyCBC workflow robustness through robust segment list input handling, enabling flexible input types and reliable conversion to a segments.segmentlist object, improving automation and reproducibility.
2 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for gwastro/pycbc: Delivered two high-impact updates that improve data integrity, reliability, and user experience in core workflows. Implemented Enhanced Sky Grid data handling with HDF5 integration by leveraging SkyGrid class capabilities, fixed an angular convention error in coordinate conversion, and added sanity checks for RA/DEC to ensure accurate sky grid outputs, reducing data corruption risk in downstream analyses. Strengthened PyCBC workflow robustness through robust segment list input handling, enabling flexible input types and reliable conversion to a segments.segmentlist object, improving automation and reproducibility.
January 2025
December 2024
2 Commits • 1 Features
Dec 1, 2024Month: 2024-12. Consolidated delivery for gwastro/pycbc focusing on API usability, robustness, and expanding scenario coverage in FisherSky. Achievements center on API ergonomics, zero-variance support, and clearer error handling, enabling broader adoption and more reliable simulations.
December 2024
2 Commits • 1 Features
Dec 1, 2024Month: 2024-12. Consolidated delivery for gwastro/pycbc focusing on API usability, robustness, and expanding scenario coverage in FisherSky. Achievements center on API ergonomics, zero-variance support, and clearer error handling, enabling broader adoption and more reliable simulations.
November 2024
1 Commits
Nov 1, 2024November 2024: Stability and compatibility-focused month for gwastro/pycbc. Implemented a critical data-type migration for trigger indexes to np.int32 to ensure NumPy 2.x compatibility; converted all existing index arrays to the new integer type to enable correct arithmetic with time-delay indexes and maintain correct functionality with the updated library. No new user-facing features delivered this month; this work reduces upgrade friction, prevents runtime errors in simulations, and preserves research workflows with time-domain analyses. This sets a solid foundation for upcoming features and future performance improvements.
1 Commits
Nov 1, 2024November 2024: Stability and compatibility-focused month for gwastro/pycbc. Implemented a critical data-type migration for trigger indexes to np.int32 to ensure NumPy 2.x compatibility; converted all existing index arrays to the new integer type to enable correct arithmetic with time-delay indexes and maintain correct functionality with the updated library. No new user-facing features delivered this month; this work reduces upgrade friction, prevents runtime errors in simulations, and preserves research workflows with time-domain analyses. This sets a solid foundation for upcoming features and future performance improvements.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness84.6%
Maintainability83.6%
Architecture85.4%
Performance72.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
AstronomyAstronomy Data AnalysisAstrophysicsCode CompatibilityCode RefactoringCommand-line InterfaceConfiguration ManagementCoordinate SystemsData AnalysisData HandlingData ProcessingData Type ConversionData ValidationData VisualizationFile I/O
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline