Cosmicflows-4: The Catalog of ∼10,000 Tully-Fisher Distances

• Published in: The Astrophysical journal Vol. 902; no. 2; pp. 145 - 180
• Main Authors: Kourkchi, Ehsan, Tully, R. Brent, Eftekharzadeh, Sarah, Llop, Jordan, Courtois, Hélène M., Guinet, Daniel, Dupuy, Alexandra, Neill, James D., Seibert, Mark, Andrews, Michael, Chuang, Juana, Danesh, Arash, Gonzalez, Randy, Holthaus, Alexandria, Mokelke, Amber, Schoen, Devin, Urasaki, Chase
• Format: Journal Article
• Language: English
• Published: Philadelphia The American Astronomical Society 01-10-2020; IOP Publishing; American Astronomical Society
• Subjects: Alfalfa; Algorithms; Astrophysics; Attenuation; Distance measure; Galactic rotation; Galaxy distances; Galaxy photometry; H I line emission; Hubble constant; Inclination; Infrared photometry; Large-scale structure of the universe; Luminosity; Machine learning; Parameters; Photometry; Physics; Random Forests; Sky surveys; Space telescopes; Spiral galaxies; Spirals; Systematics; Tully-Fisher relation
• ISSN: 0004-637X; 1538-4357
• DOI: 10.3847/1538-4357/abb66b

We present the distances of 9792 spiral galaxies lying within 15,000 km s−1 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 H i survey with the Arecibo Telescope. Relations between H i 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−1 Mpc−1.