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Tuomo Salmi

PROFILE

Tuomo Salmi

T.H.J. Salmi contributed to the xpsi-group/xpsi repository by developing and refining astrophysical modeling features, focusing on reliability and scientific accuracy. Over eight months, Salmi implemented spherical star modeling, improved atmospheric simulation robustness, and enhanced likelihood estimation methods. Using Python, Cython, and CI/CD pipelines, Salmi addressed edge-case bugs such as division by zero in polarization calculations and clarified statistical normalization in likelihood functions. The work included refactoring integrators for maintainability, updating documentation for user onboarding, and aligning build systems for modern environments. Salmi’s contributions demonstrated depth in scientific computing, numerical methods, and release management, resulting in more robust research workflows.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

24Total
Bugs
9
Commits
24
Features
9
Lines of code
5,911
Activity Months8

Your Network

18 people

Work History

March 2026

2 Commits • 2 Features

Mar 1, 2026

March 2026 monthly wrap-up for xpsi-group/xpsi: Stakeholder-ready enhancements focusing on reliability, accuracy, and developer productivity. Implemented background limits for fast example scripts to prevent invalid parameter vectors from skewing likelihood calculations, with documentation updates and removal of redundant tutorials to streamline onboarding. Refactored cellmesh integrators to separate polarization angle and disk blocking, added unit tests for the new functions, and updated changelog/versioning to align with main branch. Addressed notable bugs in examples (including the no-disk-blocking case) and adjusted likelihood normalization sign, while restoring the image_order_limit default and removing debug prints. Release-readiness improvements include installation tweaks and version synchronization across branches.

December 2025

1 Commits

Dec 1, 2025

December 2025 monthly summary for xpsi-group/xpsi: Delivered a critical stability fix for polarization angle calculations when sin(psi) approaches zero, preventing division by zero and strengthening the robustness of the integration functions. The change was implemented as a targeted patch and accompanied by a version bump to reflect the critical fix. This work enhances reliability for downstream polarization analyses and reduces risk of incorrect results in edge-case scenarios.

September 2025

1 Commits

Sep 1, 2025

September 2025 monthly summary for xpsi-group/xpsi focusing on correcting likelihood normalization and code cleanliness to improve accuracy, stability, and release readiness.

August 2025

1 Commits • 1 Features

Aug 1, 2025

Monthly work summary for 2025-08 focusing on delivering business value and technical improvements across the xpsi-group/xpsi repository. This month concentrated on updating Snellius job script instructions and dependencies to align with platform changes, improving user onboarding, reproducibility, and resource targeting.

May 2025

8 Commits • 1 Features

May 1, 2025

Monthly summary for 2025-05 (repo: xpsi-group/xpsi) focusing on stability, release-readiness, and targeted feature work. The work improved CI reliability, reduced installation friction, and strengthened numerical robustness in atmospheric modeling, enabling smoother releases and more trustworthy results for users. What was delivered: - Strengthened testing and release readiness, including post-processing tests, Python 3.9 compatibility, CI/test path fixes, and preparation for a 3.1.0 release. - CI/CD environment fixes to ensure tests run against the correct environment (environment.yml) and updated CI workflow docs. - Dependency cleanup removing rayXpanda to simplify installation and build scripts without impacting core functionality. - Numerical and robustness improvements in atmospheric modeling, including bounds checks for temperature and logg in nsx loading and switching to approximate equality in Cython modules. Impact: - More reliable CI, faster and more predictable releases, and reduced risk in production environments. - Improved stability and accuracy in atmospheric computations, benefitting simulations and research workflows. - Clearer installation paths and documentation, easing onboarding for new users and contributors.

March 2025

1 Commits

Mar 1, 2025

March 2025 monthly summary for xpsi: Delivered a critical bug fix and documentation update to improve stability when time-invariant mode is enabled. The fix for time-invariant handling in Everywhere class (xpsi) and related background marginalization ensures correct behavior of phase bins and leaves, with the tutorial updated accordingly. Release v3.0.5 was tagged to reflect these changes (commit: d0ef043553e02ff63601497ff681dfc46a801f4a). Overall impact: increased reliability for time-invariant configurations, reduced user-reported edge-case errors, and clearer guidance for users and developers. Technologies demonstrated include debugging and root-cause analysis, Git-based version control, code-tuning in the Everywhere path, and documentation synchronization.

January 2025

3 Commits • 2 Features

Jan 1, 2025

January 2025 monthly summary for xpsi-group/xpsi. Focused on delivering user-value features, stabilizing the build pipeline, and clarifying edge-case behavior to improve robustness across environments. Key outcomes include an FAQ update to address import-order issues between pymultinest and numpy, a CI/build upgrade to GCC 12 and Python 3.12 for better compatibility, and a clarity fix for zero-count handling in Poisson likelihood with an accompanying changelog note. These changes reduce environment-related discrepancies, strengthen CI coverage, and improve the reliability of likelihood computations.

December 2024

7 Commits • 3 Features

Dec 1, 2024

December 2024 monthly performance summary for repository xpsi-group/xpsi. Focused on advancing realistic modeling capabilities, strengthening data visualization robustness, and improving build/install reliability, all while maintaining clear contributor documentation. Key outcomes include staged delivery of spherical star modeling, alignment of example scripts with the modeling tutorial, robust handling of zero-valued data in plots, and compatibility fixes for modern tooling and packaging.

Activity

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Quality Metrics

Correctness86.6%
Maintainability84.2%
Architecture80.0%
Performance74.2%
AI Usage20.8%

Skills & Technologies

Programming Languages

CCythonPythonRSTYAMLrst

Technical Skills

AstrophysicsAstrophysics SimulationBug FixingBuild System ConfigurationBuild SystemsCI/CDChangelog GenerationCode RefactoringConfigurationConfiguration ManagementCythonCython ProgrammingData AnalysisData ValidationData Visualization

Repositories Contributed To

1 repo

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

xpsi-group/xpsi

Dec 2024 Mar 2026
8 Months active

Languages Used

CCythonPythonRSTYAMLrst

Technical Skills

AstrophysicsAstrophysics SimulationBuild SystemsCode RefactoringConfiguration ManagementCython