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2022RNAAS...6..233P - Research Notes of the AAS, 6, 233 (2022/November-0)

Rotation Curve Decompositions with Gaussian Processes: Taking into Account Data Correlations Leads to Unbiased Results.

POSTI L.

Abstract (from CDS):

Correlations between velocity measurements in disk galaxy rotation curves are usually neglected when fitting dynamical models. Here I show how data correlations can be taken into account in rotation curve decompositions using Gaussian Processes. I find that marginalizing over correlation parameters proves critical to obtain unbiased estimates of the luminous and dark matter distributions in galaxies.

Abstract Copyright: © 2022. The Author(s). Published by the American Astronomical Society.

Journal keyword(s): Disk galaxies - Galaxy rotation curves - Galaxy dark matter halos

Simbad objects: 1

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