Cloud Factory Tutorial: Skeletonized Interstellar Cloud Data from a 500 pc Grid

FITS files from a 500x500x500 parsec simulation grid provide post-processed data for skeletonizing and analyzing interstellar clouds. The data includes precomputed pipeline outputs like thresholded density and skeleton structures, along with physical variables such as hydrogen density, carbon monoxide density, and gas temperature. Elijah Mullens of Cornell University created these files to accompany tutorial notebooks for the Cloud Factory analysis pipeline.

Use Cases

• Learning cloud skeletonization techniques based on the provided thresholded_data.fits and skeleton.fits files.
• Analyzing the relationship between molecular hydrogen (nH2) and carbon monoxide (nCO) densities within a simulated cloud.
• Studying the thermal structure of interstellar gas based on the gas temperature (temp) and effective dust cooling (tdust) variables.
• Validating cloud analysis pipelines using precomputed outputs from a defined 500 pc feedback-dominated region.

Strengths

• Data is derived from a specific 500x500x500 parsec region of a feedback-dominated simulation grid.
• Includes seven specific physical variables: total hydrogen (nhtot), CO (nCO), H2 (nH2), ionized hydrogen (nHP), atomic hydrogen (nH1), temperature (temp), and dust cooling (tdust).
• Provides precomputed pipeline outputs (thresholded_data.fits, skeleton.fits) for tutorial use.

Limitations

• Row count and total file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Cornell University

Collection Method

Post-processed outputs from a simulation grid, likely generated by the Cloud Factory pipeline.