TeamCOMPAS/COMPAS
Jan 2026 – Jan 2026
1 Month active
Languages Used
C++YAMLreStructuredText
Technical Skills
C++ developmentconfiguration managementdocumentationscientific computingsimulation modelingsoftware documentation
Paul Disberg
PROFILE
Paul Disberg
Worked on enhancing the Muller Mandel kick parameterization in the TeamCOMPAS/COMPAS repository, focusing on improving simulation accuracy for neutron star and black hole natal kicks. Updated C++ code and YAML configuration files to calibrate default settings in line with Disberg+2026, ensuring greater realism and stability in scientific computing workflows. Revised user-facing documentation using reStructuredText to reflect new defaults and reduce configuration drift, supporting better user adoption. Maintained consistency across code, configuration, and documentation, with no major bugs reported. Emphasized configuration management, technical writing, and version control to keep the project aligned and maintainable throughout the development cycle.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
35
Activity Months1
Your Network
14 peopleShared Repositories
14
Alexey BobrickMember
Avi VajpeyiMember
Adam BrcekMember
Ilya MandelMember
Jeff RileyMember
jeffrileyMember
Lieke van SonMember
Nicolas Rodriguez-SegoviaMember
Reinhold WillcoxMember
Work History
January 2026
6 Commits • 2 Features
Jan 1, 2026January 2026: Delivered substantial enhancements to the Muller Mandel kick parameterization in TeamCOMPAS/COMPAS, focusing on realism, stability, and user clarity. The work targeted calibration and default settings to align with Disberg+2026, improving simulation accuracy for neutron star and black hole natal kicks.
6 Commits • 2 Features
Jan 1, 2026January 2026: Delivered substantial enhancements to the Muller Mandel kick parameterization in TeamCOMPAS/COMPAS, focusing on realism, stability, and user clarity. The work targeted calibration and default settings to align with Disberg+2026, improving simulation accuracy for neutron star and black hole natal kicks.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++YAMLreStructuredText
Technical Skills
C++ developmentconfiguration managementdocumentationscientific computingsimulation modelingsoftware documentationtechnical writingversion control
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