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tumlinson@stsci.edu

PROFILE

Tumlinson@stsci.edu

Over eight months, Jason Tumlinson developed and refined astrophysical simulation workflows in the foggie-sims/foggie repository, focusing on robust halo tracking, data integrity, and analysis reproducibility. He engineered flexible Python-based utilities for halo center determination, starlog parsing, and multi-catalog data loading, enabling more reliable and scalable simulation analysis. By refactoring core modules and implementing dynamic logic for missing or legacy data, Jason improved maintainability and reduced manual intervention in data pipelines. His work integrated scientific computing, data visualization, and configuration management, resulting in cleaner, auditable histories and enhanced support for cross-simulation comparisons and publication-quality baryon budget analyses.

Overall Statistics

Feature vs Bugs

63%Features

Repository Contributions

41Total
Bugs
6
Commits
41
Features
10
Lines of code
321,467
Activity Months8

Work History

September 2025

6 Commits • 2 Features

Sep 1, 2025

September 2025 monthly performance snapshot for foggie-sims/foggie: Delivered key features to expand halo gas content visualization, improved baryon budget analysis with granular CGM components, and fixed plotting inaccuracies to ensure consistent, reliable presentations based on total halo mass. These efforts enhance scientific insight into ISM/CGM content across halos, improve reproducibility, and strengthen the pipeline for publication-quality analyses across simulations.

August 2025

1 Commits • 1 Features

Aug 1, 2025

August 2025: Delivered flexible loading for Foggie, enabling foggie_load to operate without a mandatory halo track file by introducing new keyword arguments and conditional logic to derive halo center from input guesses or the snapshot when no track is provided. Refactored foggie_load to remove dependence on a specified halo track or center, improving usability and enabling broader snapshot-based workflows. This work enhances reproducibility and reduces setup friction for users.

July 2025

8 Commits • 1 Features

Jul 1, 2025

July 2025 (2025-07) monthly summary for foggie-sims/foggie. Highlights include a critical bug fix to Halo SFR calculation and a substantial data expansion to support halo/H2 mechanical track analyses across multiple simulations, enabling broader validation and cross-simulation comparisons.

June 2025

3 Commits • 1 Features

Jun 1, 2025

June 2025 monthly summary for foggie-sims/foggie: Delivered robust halo center determination and velocity loading across catalog types in foggie_load, added multi-catalog support with new helper functions, and standardized calculations when catalog information is unavailable. These changes improve reliability, flexibility, and maintainability of halo loading for downstream simulations and analyses.

May 2025

15 Commits • 2 Features

May 1, 2025

May 2025: Implemented robust halo centering enhancements and comprehensive root-tracking updates across multiple simulations in foggie, delivering higher accuracy, reproducibility, and data integrity. Completed data hygiene cleanup to prevent confusion and ensure clean, auditable histories. These changes enable faster, more reliable analyses and easier collaboration across teams.

April 2025

3 Commits • 1 Features

Apr 1, 2025

In 2025-04, contributions to foggie-sims/foggie focused on expanding halo-scale metrics and cleaning up Tempest data to improve analysis reliability and data integrity. Key features delivered: Halo quantity callback enhancements enabling computation of maximum metallicity, total metal mass, and star formation rates for young stars within halos, plus dedicated callbacks for maximum gas density and maximum dark matter density within halo spheres. This work was implemented via commits 5b66c0cad8db8324c782a470bec20893c2c8c9e7 (halo_callbacks) and d107833d704affa1f6d6995260ea6f41ac18c5d2 (two quantities added to halo callbacks). Major bug fix: Tempest track root data revision for halo_008508_root_index.txt, removing outdated entries and adding a corrected data set (commit 2bae46843a6df81487810c076403392d75b89068). These changes enhance data quality, enable richer halo analysis, and ensure accurate simulation tracking. Overall impact: faster, more comprehensive extraction of halo properties and more reliable Tempest data, supporting robust scientific conclusions and downstream analyses. Technologies/skills demonstrated: Python-based halo module enhancements, callback design, Git version control discipline, and data integrity workflows within foggie-sims/foggie.

January 2025

2 Commits • 1 Features

Jan 1, 2025

January 2025: Delivered two key enhancements in foggie: 1) Starlog Data Parser and ASCII export to enable structured data ingestion; 2) Logging cleanup for patch tracking utility to improve log clarity and efficiency. These changes enhance data ingestion reliability for downstream analytics and reduce debugging time for patch tracking.

December 2024

3 Commits • 1 Features

Dec 1, 2024

December 2024 monthly summary for foggie: Delivered a robust progenitor halo tracking patch workflow and cleaned up legacy initial condition configurations to streamline simulations. The changes improve data integrity, reproducibility, and maintainability, enabling researchers to derive corrected halo tracks and avoid deprecated configs.

Activity

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Quality Metrics

Correctness88.8%
Maintainability88.2%
Architecture86.8%
Performance81.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

DataPythonShellTexttext

Technical Skills

Astrophysical SimulationsAstrophysicsAstrophysics SimulationAstrophysics Simulation AnalysisAstropy TablesBug FixCode RefactoringConfiguration ManagementCosmologyData AnalysisData CorrectionData Loading and ProcessingData ManagementData ParsingData Processing

Repositories Contributed To

1 repo

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

foggie-sims/foggie

Dec 2024 Sep 2025
8 Months active

Languages Used

PythonShellTexttextData

Technical Skills

Astrophysics SimulationConfiguration ManagementData AnalysisData ProcessingPython ScriptingScripting

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