Cosmicflows-4: The Catalog of ~10000 Tully-Fisher Distances

TL;DR

This paper presents Cosmicflows-4, a comprehensive catalog of nearly 10,000 spiral galaxy distances using Tully-Fisher relations across multiple bands, calibrated with SDSS and WISE data, and includes a machine learning approach for dust attenuation correction.

Contribution

It introduces a large, detailed galaxy distance catalog with multi-band calibrations and a novel machine learning method for dust correction, enhancing distance measurement accuracy.

Findings

Hubble Constant determined as 75.1 km/s/Mpc

Catalog includes 9792 galaxy distances within 15,000 km/s

Machine learning predicts dust attenuation effectively

Abstract

We present the distances of 9792 spiral galaxies lying within 15,000 km/s using the relation between luminosity and rotation rate of spiral galaxies. The sample is dominantly, but not exclusively, drawn from galaxies detected in the course of the ALFALFA HI survey with the Arecibo Telescope. Relations between \hi line widths and luminosity are calibrated at SDSS u, g, r, i, z bands and WISE W1 and W2 bands. By exploiting secondary parameters, particularly color indices, we address discrepancies between measured distances at different wave bands with unprecedented detail. We provide a catalog that includes reduced kinematic, photometric, and inclination parameters. We also describe a machine learning algorithm, based on the random forest technique that predicts the dust attenuation in spirals lacking infrared photometry. We determine a Hubble Constant value of H0 = 75.1+-0.2 (stat.), with potential systematics up to +-3 km/s/Mpc.