The Pantheon+ Analysis: Evaluating Peculiar Velocity Corrections in Cosmological Analyses with Nearby Type Ia Supernovae
Erik R. Peterson, W. D'Arcy Kenworthy, Daniel Scolnic, Adam G. Riess,, Dillon Brout, Anthony Carr, Helene Courtois, Tamara Davis, Arianna Dwomoh,, David O. Jones, Brodie Popovic, Benjamin M. Rose, Khaled Said

TL;DR
This study evaluates how correcting for peculiar velocities of nearby Type Ia Supernovae improves cosmological measurements, finding combined corrections modestly reduce residuals and slightly raise the Hubble constant, with uncertainties smaller than statistical errors.
Contribution
It demonstrates that combining large-scale flow and group-based corrections optimally reduces residuals in SN distance measurements, refining local velocity models for cosmology.
Findings
Combined flow and group corrections improve residuals from 0.167 to 0.157 mag.
Optimal corrections raise H_0 by approximately 0.4 km/s/Mpc.
Systematic uncertainties after correction are smaller than statistical uncertainties.
Abstract
Separating the components of redshift due to expansion and peculiar motion in the nearby universe () is critical for using Type Ia Supernovae (SNe Ia) to measure the Hubble constant () and the equation-of-state parameter of dark energy (). Here, we study the two dominant 'motions' contributing to nearby peculiar velocities: large-scale, coherent-flow (CF) motions and small-scale motions due to gravitationally associated galaxies deemed to be in a galaxy group. We use a set of 584 low- SNe from the Pantheon+ sample, and evaluate the efficacy of corrections to these motions by measuring the improvement of SN distance residuals. We study multiple methods for modeling the large and small-scale motions and show that, while group assignments and CF corrections individually contribute to small improvements in Hubble residual scatter, the greatest improvement comes from the…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
