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

Autor: Daniel Guinet, James D. Neill, Hélène M. Courtois, Chase Urasaki, Ehsan Kourkchi, R. Brent Tully, Amber Mokelke, Arash Danesh, Sarah Eftekharzadeh, Devin Schoen, Jordan Llop, Randy Gonzalez, Mark Seibert, Alexandria Holthaus, Alexandra Dupuy, Juana Chuang, Michael Andrews
Přispěvatelé: Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2020
Předmět:
Zdroj: Astrophys.J.
Astrophys.J., 2020, 902 (2), pp.145. ⟨10.3847/1538-4357/abb66b⟩
ISSN: 1538-4357
Popis: 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.
46 pages, 46 figures, and 5 tables. Accepted for publication in The Astrophysical Journal
Databáze: OpenAIRE