A Novel Framework for Modeling Weakly Lensing Shear Using Kinematics and Imaging at Moderate Redshift
Brian DiGiorgio, Kevin Bundy, Kyle B. Westfall, Alexie Leauthaud,, David Stark

TL;DR
This paper introduces a new formalism combining imaging and kinematic data to improve weak lensing shear measurements, reducing uncertainties and enabling studies at higher redshifts.
Contribution
A novel Bayesian framework that integrates shape and velocity data to enhance weak lensing analysis and reduce systematic errors.
Findings
Reduces shear measurement uncertainty by a factor of 2-6.
Enables gravitational shear detection at higher redshifts with existing instruments.
Potential to improve galaxy cluster mass estimates and halo profile sampling.
Abstract
Kinematic weak lensing describes the distortion of a galaxy's projected velocity field due to lensing shear, an effect recently reported for the first time by Gurri et al. based on a sample of 18 galaxies at . In this paper, we develop a new formalism that combines the shape information from imaging surveys with the kinematic information from resolved spectroscopy to better constrain the lensing distortion of source galaxies and to potentially address systematic errors that affect conventional weak-lensing analyses. Using a Bayesian forward model applied to mock galaxy observations, we model distortions in the source galaxy's velocity field simultaneously with the apparent shear-induced offset between the kinematic and photometric major axes. We show that this combination dramatically reduces the statistical uncertainty on the inferred shear, yielding statistical error gains…
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