Flexion measurement in simulations of Hubble Space Telescope data
Barnaby Rowe, David Bacon, Richard Massey, Catherine Heymans, Boris, Haeussler, Andy Taylor, Jason Rhodes, Yannick Mellier

TL;DR
This paper analyzes weak gravitational lensing flexion and shear measurements using simulations based on Hubble data, highlighting differences in noise contributions and providing models for future measurement accuracy forecasts.
Contribution
It introduces a simulation-based analysis of flexion and shear measurement noise, emphasizing the impact of pixel noise and providing power law models for future survey predictions.
Findings
Pixel noise dominates flexion measurement uncertainty.
Flexion noise increases more rapidly than shear noise at low signal-to-noise.
Biases in flexion measurement are significant but consistent with previous studies.
Abstract
We present a simulation analysis of weak gravitational lensing flexion and shear measurement using shapelet decomposition, and identify differences between flexion and shear measurement noise in deep survey data. Taking models of galaxies from the Hubble Space Telescope Ultra Deep Field (HUDF) and applying a correction for the HUDF point spread function we generate lensed simulations of deep, optical imaging data from Hubble's Advanced Camera for Surveys (ACS), with realistic galaxy morphologies. We find that flexion and shear estimates differ in our measurement pipeline: whereas intrinsic galaxy shape is typically the dominant contribution to noise in shear estimates, pixel noise due to finite photon counts and detector read noise is a major contributor to uncertainty in flexion estimates, across a broad range of galaxy signal-to-noise. This pixel noise also increases more rapidly as…
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