SEDflow: Galaxy Physical Properties Catalog from Optical Photometry

A value-added catalog provides detailed physical properties for 33,884 galaxies from the NASA-Sloan Atlas. The properties, including stellar mass, star formation rate, and metallicity, are inferred from optical photometry using the SEDflow accelerated Bayesian modeling method. The dataset was created by ChangHoon Hahn of Princeton University and accompanies the SEDflow research.

Use Cases

• Training Bayesian inference models for galaxy properties based on optical photometry data.
• Benchmarking accelerated SED modeling methods against traditional MCMC sampling.
• Analyzing correlations between stellar mass, star formation history, and dust properties in galaxies.
• Developing amortized neural posterior estimation techniques for astrophysical applications.

Strengths

• Contains posteriors for 33,884 galaxies, providing a substantial sample for analysis.
• Includes 14 distinct physical property posteriors per galaxy, such as log_mstar, log_sfr_1gyr, and dust parameters.
• Properties are derived using a method reported to be 10^5 times faster than conventional MCMC sampling.

Limitations

• Column-level documentation is absent; field semantics must be inferred from the description after download.
• Last update date is unknown; freshness unverified.
• Row count for the primary training/validation data is unknown, which may limit suitability assessment.

Provenance

Source

NASA-Sloan Atlas (nsatlas.org)

Collection Method

Properties inferred from optical u, g, r, i, z band photometry using the SEDflow ANPE method.