gwastro/pycbc
Feb 2025 – Jan 2026
2 Months active
Languages Used
Python
Technical Skills
AstrophysicsData ProcessingNumPyNumerical ComputingPhysics SimulationScripting
Marco Cusinato
PROFILE
Marco Cusinato
Contributed to the gwastro/pycbc repository by developing and refining features for astrophysics data analysis and visualization workflows. Over two months, delivered enhancements to the Banksim and remnant mass calculation modules, focusing on robust input validation and consistent use of NumPy for numerical computing. Improved code maintainability and reliability by refactoring scripts to standardize array handling and enforce physical validity in simulations. In addition, implemented advanced data visualization capabilities for pyGRB workflows, including integrated corner plots and customizable plotting options. Collaborated on workflow automation and code review, leveraging Python scripting and data processing skills to stabilize and extend the plotting pipeline.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
96
Activity Months2
Your Network
19 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 — gwastro/pycbc: Focused on delivering visualization improvements for pyGRB workflows. Implemented corner plot enhancements for injections and template-bank visuals, added new CLI options for plot customization, and integrated corner plotting into the GRB workflow to improve end-to-end analysis visualization. Minor plotting pipeline fixes were applied to stabilize results. Collaboration with Tito Dal Canton contributed to code quality and cross-review, with updates to grb_utils.py and the addition of plot_node.
1 Commits • 1 Features
Jan 1, 2026January 2026 — gwastro/pycbc: Focused on delivering visualization improvements for pyGRB workflows. Implemented corner plot enhancements for injections and template-bank visuals, added new CLI options for plot customization, and integrated corner plotting into the GRB workflow to improve end-to-end analysis visualization. Minor plotting pipeline fixes were applied to stabilize results. Collaboration with Tito Dal Canton contributed to code quality and cross-review, with updates to grb_utils.py and the addition of plot_node.
January 2026
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 (gwastro/pycbc): Delivered key features and robustness improvements in Banksim and remnant mass calculations. Refactor to standard NumPy usage and input validation enhanced code quality and maintainability; business value includes more reliable simulations and reduced risk of invalid inputs.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 (gwastro/pycbc): Delivered key features and robustness improvements in Banksim and remnant mass calculations. Refactor to standard NumPy usage and input validation enhanced code quality and maintainability; business value includes more reliable simulations and reduced risk of invalid inputs.
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage26.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
AstrophysicsData ProcessingNumPyNumerical ComputingPhysics SimulationPython scriptingScriptingdata visualizationworkflow automation
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