Over five months, JT Umlins developed and maintained core simulation infrastructure in the foggie-sims/foggie repository, focusing on data management and workflow automation for cosmological simulations. JT built frameworks for initial condition generation and integrated new root track datasets, enabling reproducible, cross-run analysis and efficient simulation setup. Using Python, bash scripting, and configuration file management, JT automated simulation workflows and improved data integrity by cleaning and consolidating tracking files. JT also stabilized scientific analysis pipelines by resolving data loading issues, supporting reliable CGM/ISM mass plotting. The work demonstrated depth in scientific computing and contributed to maintainable, traceable research environments.
September 2025: Stabilized the CGM/ISM mass plotting workflow in foggie-sims/foggie by fixing data loading parameters and resolving a merge conflict in fogghorn_analysis.py, enabling reliable generation of CGM and ISM mass plots. This reduces downstream debugging, improves data integrity, and supports researchers in CGM/ISM mass-budget analyses.
September 2025: Stabilized the CGM/ISM mass plotting workflow in foggie-sims/foggie by fixing data loading parameters and resolving a merge conflict in fogghorn_analysis.py, enabling reliable generation of CGM and ISM mass plots. This reduces downstream debugging, improves data integrity, and supports researchers in CGM/ISM mass-budget analyses.
2025-08 monthly performance summary for foggie-sims/foggie. Focused on delivering tangible business value through data accessibility, reproducibility, and robust dataset management. Highlights include integration of a large tracking dataset to support simulation index 2392, with commit-level traceability and clear implications for analysis/visualization workflows.
2025-08 monthly performance summary for foggie-sims/foggie. Focused on delivering tangible business value through data accessibility, reproducibility, and robust dataset management. Highlights include integration of a large tracking dataset to support simulation index 2392, with commit-level traceability and clear implications for analysis/visualization workflows.
Concise monthly summary for 2025-07 covering foggie-sims/foggie. Implemented a new Initial Condition Generation Framework enabling flexible 512^3 grid setups with refinement templates and automation scripts; laid groundwork for scalable cosmological runs; no major bugs fixed this month; overall impact: improved reproducibility, faster setup, and more capable simulations.
Concise monthly summary for 2025-07 covering foggie-sims/foggie. Implemented a new Initial Condition Generation Framework enabling flexible 512^3 grid setups with refinement templates and automation scripts; laid groundwork for scalable cosmological runs; no major bugs fixed this month; overall impact: improved reproducibility, faster setup, and more capable simulations.
May 2025 monthly summary for foggie-sims/foggie: Delivered a new root track data file to enable setup and continuation of the 5036 FF simulation run, reinforcing a robust, reproducible simulation workflow and enabling faster experiment iteration.
May 2025 monthly summary for foggie-sims/foggie: Delivered a new root track data file to enable setup and continuation of the 5036 FF simulation run, reinforcing a robust, reproducible simulation workflow and enabling faster experiment iteration.
April 2025 highlights for foggie-sims/foggie. Delivered cross-run root track data support and implemented targeted data cleanup to improve analysis reliability and reproducibility. Key changes include adding root track data files for Hurricane, Blizzard, and Maelstrom to enable consistent tracking across simulation runs, and correcting/cleaning root track data references including hurricane track path and removal of outdated root track files for halo 8508. These changes enhance data integrity, enable robust comparative studies, and reduce drift in analyses across runs. All work is traceable via commits, aligning with our standard for reproducible research.
April 2025 highlights for foggie-sims/foggie. Delivered cross-run root track data support and implemented targeted data cleanup to improve analysis reliability and reproducibility. Key changes include adding root track data files for Hurricane, Blizzard, and Maelstrom to enable consistent tracking across simulation runs, and correcting/cleaning root track data references including hurricane track path and removal of outdated root track files for halo 8508. These changes enhance data integrity, enable robust comparative studies, and reduce drift in analyses across runs. All work is traceable via commits, aligning with our standard for reproducible research.
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