
Cassilo Haas developed advanced analysis and visualization tools for the foggie-sims/foggie repository, focusing on astrophysical and cosmological simulation data. Over 11 months, Cassilo engineered features for O VI emission diagnostics, turbulence analysis, and accretion physics, integrating Python, NumPy, and yt for robust data processing and scientific visualization. Their work included refactoring analysis pipelines, enhancing plotting flexibility, and improving data integrity across large simulation catalogs. By addressing numerical stability, dynamic data management, and documentation, Cassilo enabled reproducible, scalable workflows for researchers. The depth of contributions reflects strong command of scientific computing, code maintainability, and domain-specific simulation analysis challenges.

Concise monthly summary for October 2025 focusing on delivering updated Cyclone simulation data integration and enhanced O VI emission analysis visuals, with measurable impact on cosmological analyses and data interpretation.
Concise monthly summary for October 2025 focusing on delivering updated Cyclone simulation data integration and enhanced O VI emission analysis visuals, with measurable impact on cosmological analyses and data interpretation.
September 2025 monthly summary for foggie (foggie-sims/foggie). Three core deliverables focusing on reliability, diagnostics, and usability: Accretion analysis reliability and path fixes; O VI emission analysis and visualization enhancements; Foggie_load trackfile_name parameterization and docs. These updates improve numerical integrity, dynamic data paths, and runtime progress reporting, leading to more robust simulations, clearer analytics, and faster troubleshooting. Business value: higher fidelity accretion analyses, better O VI diagnostics, standardized trackfile handling and up-to-date docs, enabling reproducibility and faster integration into workflows. Technologies demonstrated: Python data analysis, numerical methods integrity, plotting enhancements, rate calculations for ionization/recombination, and thorough documentation.
September 2025 monthly summary for foggie (foggie-sims/foggie). Three core deliverables focusing on reliability, diagnostics, and usability: Accretion analysis reliability and path fixes; O VI emission analysis and visualization enhancements; Foggie_load trackfile_name parameterization and docs. These updates improve numerical integrity, dynamic data paths, and runtime progress reporting, leading to more robust simulations, clearer analytics, and faster troubleshooting. Business value: higher fidelity accretion analyses, better O VI diagnostics, standardized trackfile handling and up-to-date docs, enabling reproducibility and faster integration into workflows. Technologies demonstrated: Python data analysis, numerical methods integrity, plotting enhancements, rate calculations for ionization/recombination, and thorough documentation.
2025-08 monthly summary for foggie-sims/foggie: Delivered major visualization and accretion physics enhancements that improve diagnostic capability, accuracy, and plotting coverage for CGM analyses. Implemented O VI gas visualization enhancements with cooling time metrics and radial-bin histograms, and refactored accretion flux calculations to improve fragmentation handling and plotting ranges. These changes strengthen alignment between simulations and observations and provide a robust foundation for future analyses. Demonstrated strong Python data visualization, modular refactoring, and plotting across radial profiles and bins, delivering measurable business value in model insight and decision support.
2025-08 monthly summary for foggie-sims/foggie: Delivered major visualization and accretion physics enhancements that improve diagnostic capability, accuracy, and plotting coverage for CGM analyses. Implemented O VI gas visualization enhancements with cooling time metrics and radial-bin histograms, and refactored accretion flux calculations to improve fragmentation handling and plotting ranges. These changes strengthen alignment between simulations and observations and provide a robust foundation for future analyses. Demonstrated strong Python data visualization, modular refactoring, and plotting across radial profiles and bins, delivering measurable business value in model insight and decision support.
Summary for 2025-07: In July 2025, delivered enhanced OVI visualization and analysis capabilities, improved robustness for OVI radial profile calculations in empty data regions, and updated data access paths for halos data. These efforts improve diagnostic capability, reliability, and data workflow efficiency. The work demonstrates strong Python data analysis, visualization, and data management skills.
Summary for 2025-07: In July 2025, delivered enhanced OVI visualization and analysis capabilities, improved robustness for OVI radial profile calculations in empty data regions, and updated data access paths for halos data. These efforts improve diagnostic capability, reliability, and data workflow efficiency. The work demonstrates strong Python data analysis, visualization, and data management skills.
June 2025 monthly summary for foggie: Delivered substantive enhancements to turbulence analysis and plotting capabilities, with robust improvements to CGM turbulence diagnostics, O VI emission visualization, and projection-based analyses. Fixed critical path and temporary directory handling to improve reliability across environments. Strengthened CLI and per-output plotting controls to support scalable exploration of large cosmological datasets, delivering clearer business value through faster, more interpretable insights.
June 2025 monthly summary for foggie: Delivered substantive enhancements to turbulence analysis and plotting capabilities, with robust improvements to CGM turbulence diagnostics, O VI emission visualization, and projection-based analyses. Fixed critical path and temporary directory handling to improve reliability across environments. Strengthened CLI and per-output plotting controls to support scalable exploration of large cosmological datasets, delivering clearer business value through faster, more interpretable insights.
May 2025: Delivered two core improvements to the halo analysis workflow in foggie-sims/foggie that improve data reliability, visualization flexibility, and usability. These changes enable faster cross-initial-condition comparisons and provide a more complete, trusted halo catalog for downstream analyses.
May 2025: Delivered two core improvements to the halo analysis workflow in foggie-sims/foggie that improve data reliability, visualization flexibility, and usability. These changes enable faster cross-initial-condition comparisons and provide a more complete, trusted halo catalog for downstream analyses.
April 2025 performance highlights for foggie-sims/foggie: advanced end-to-end analysis with new features, improved data coverage, and a more maintainable codebase. Key features delivered include: - OVI emission calculation: added --constant_Z option to compute emissivity with a constant Zsun, enabling reproducible emission estimates without per-datum metallicity data (commit 4317dd34b44f73ebf0d047db5cfdeb484c0e7659). - Halo information data expansion and documentation: extended halo datasets to include DD0239-DD2097 and RD0016-RD0038 and updated docs to reflect the new snapshot ranges (commits b020c0a82140b5bcaa39980c688543da681215e8; cfef4e9bf91c8308005455f35b2a141a71c1b124). - Tracer accretion projection visualization script: introduced accretion_tracer_projection.py to generate configurable projection plots for tracer fluids (commit 7745ab1f8eebea75391aaf7984f46f25d7c0c722). - FOGGIE analysis script refactor and plotting enhancements: reorganized analysis workflow with improved halo property plots, file renames, and new plotting functions; includes documentation updates (commits 92817a14382ee3dd7cfea9c1eaa571980a5ab526; 826c7750469fe6dfea1dff489e18820ca87eb431; 8897817fec871034df27ec55f7865e9c3a114c2b). - YT-astro_analysis import path fixes: resolved module resolution issues and aligned imports with library updates (commits 8861cc0ab574a6e3fd0eddd2bb8e8147b76ba281; 42475cef688cec91e7990aef22d535a4f811db35). Major bugs fixed: - YT-astro_analysis import path fixes to resolve module resolution issues and ensure compatibility with updated libraries (no user-facing errors due to import changes). Overall impact and accomplishments: - Expanded data coverage and visualization capabilities, improved reproducibility and maintainability, and reduced runtime errors related to library updates. Enables faster iteration and broader analytical scope for cosmological simulations. Technologies/skills demonstrated: - Python-based tooling, CLI design (constant_Z option), data management for halo catalogs, visualization scripting (projection plots and halo property plots), code refactoring, documentation, and robust import management. Business value: - Accelerated analysis cycles, improved reliability, and easier collaboration across the team by expanding data coverage, enhancing visuals, and hardening the codebase against dependency changes.
April 2025 performance highlights for foggie-sims/foggie: advanced end-to-end analysis with new features, improved data coverage, and a more maintainable codebase. Key features delivered include: - OVI emission calculation: added --constant_Z option to compute emissivity with a constant Zsun, enabling reproducible emission estimates without per-datum metallicity data (commit 4317dd34b44f73ebf0d047db5cfdeb484c0e7659). - Halo information data expansion and documentation: extended halo datasets to include DD0239-DD2097 and RD0016-RD0038 and updated docs to reflect the new snapshot ranges (commits b020c0a82140b5bcaa39980c688543da681215e8; cfef4e9bf91c8308005455f35b2a141a71c1b124). - Tracer accretion projection visualization script: introduced accretion_tracer_projection.py to generate configurable projection plots for tracer fluids (commit 7745ab1f8eebea75391aaf7984f46f25d7c0c722). - FOGGIE analysis script refactor and plotting enhancements: reorganized analysis workflow with improved halo property plots, file renames, and new plotting functions; includes documentation updates (commits 92817a14382ee3dd7cfea9c1eaa571980a5ab526; 826c7750469fe6dfea1dff489e18820ca87eb431; 8897817fec871034df27ec55f7865e9c3a114c2b). - YT-astro_analysis import path fixes: resolved module resolution issues and aligned imports with library updates (commits 8861cc0ab574a6e3fd0eddd2bb8e8147b76ba281; 42475cef688cec91e7990aef22d535a4f811db35). Major bugs fixed: - YT-astro_analysis import path fixes to resolve module resolution issues and ensure compatibility with updated libraries (no user-facing errors due to import changes). Overall impact and accomplishments: - Expanded data coverage and visualization capabilities, improved reproducibility and maintainability, and reduced runtime errors related to library updates. Enables faster iteration and broader analytical scope for cosmological simulations. Technologies/skills demonstrated: - Python-based tooling, CLI design (constant_Z option), data management for halo catalogs, visualization scripting (projection plots and halo property plots), code refactoring, documentation, and robust import management. Business value: - Accelerated analysis cycles, improved reliability, and easier collaboration across the team by expanding data coverage, enhancing visuals, and hardening the codebase against dependency changes.
March 2025 monthly summary for foggie-sims/foggie. Delivered three major features: Enzo-Foggie cluster setup and parameter documentation, Napari demo script simplification, and CLOUDY-table-based OVI emission enhancements. Also fixed a documentation bug and aligned H2 star formation parameters. These efforts improve reproducibility, visualization, and modeling accuracy, enabling faster onboarding and more reliable HPC runs.
March 2025 monthly summary for foggie-sims/foggie. Delivered three major features: Enzo-Foggie cluster setup and parameter documentation, Napari demo script simplification, and CLOUDY-table-based OVI emission enhancements. Also fixed a documentation bug and aligned H2 star formation parameters. These efforts improve reproducibility, visualization, and modeling accuracy, enabling faster onboarding and more reliable HPC runs.
In December 2024, the foggie-sims/foggie repository delivered targeted bug fixes, scalable performance improvements, and enhanced documentation and visualization capabilities, driving more reliable analyses and smoother onboarding for new users. Key updates include fixes to 3D filament analysis, dynamic resolution handling, macOS-friendly acceleration, expanded onboarding resources, and advanced fogghorn plots that broaden energy and velocity insights.
In December 2024, the foggie-sims/foggie repository delivered targeted bug fixes, scalable performance improvements, and enhanced documentation and visualization capabilities, driving more reliable analyses and smoother onboarding for new users. Key updates include fixes to 3D filament analysis, dynamic resolution handling, macOS-friendly acceleration, expanded onboarding resources, and advanced fogghorn plots that broaden energy and velocity insights.
November 2024 (2024-11) accomplishments for foggie-sims/foggie focused on expanding visualization capabilities, ensuring data integrity for Cyclone analyses, and improving user documentation. Key outputs include new visualization tools for O VI emission and turbulence analyses, updates to Cyclone halo data under the DD1999 definition across multiple snapshots, and enhanced halo info generation workflow via updated README. Several bug fixes improved accuracy of emission calculations and data processing, notably correcting metallicity scaling for O VI emission, removing a malformed Cyclone track line, and refining accretion stream identification in a 3D grid. These efforts improve analytical reliability, reproducibility, and onboarding for researchers.
November 2024 (2024-11) accomplishments for foggie-sims/foggie focused on expanding visualization capabilities, ensuring data integrity for Cyclone analyses, and improving user documentation. Key outputs include new visualization tools for O VI emission and turbulence analyses, updates to Cyclone halo data under the DD1999 definition across multiple snapshots, and enhanced halo info generation workflow via updated README. Several bug fixes improved accuracy of emission calculations and data processing, notably correcting metallicity scaling for O VI emission, removing a malformed Cyclone track line, and refining accretion stream identification in a 3D grid. These efforts improve analytical reliability, reproducibility, and onboarding for researchers.
October 2024 monthly summary for foggie-sims/foggie focusing on enhancing accretion physics and bug fixes to improve numerical stability and downstream analyses. Delivered a feature that adds angular momentum and velocity divergence properties to accretion analysis and implemented a shear stress calculation to improve gas-dynamics modeling. Also fixed an accretion theta assignment bug that incorrectly used theta based on direction, ensuring correct theta position (disk vs general) and preventing dependent calculation errors.
October 2024 monthly summary for foggie-sims/foggie focusing on enhancing accretion physics and bug fixes to improve numerical stability and downstream analyses. Delivered a feature that adds angular momentum and velocity divergence properties to accretion analysis and implemented a shear stress calculation to improve gas-dynamics modeling. Also fixed an accretion theta assignment bug that incorrectly used theta based on direction, ensuring correct theta position (disk vs general) and preventing dependent calculation errors.
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