Detecting Mass Substructure in Galaxy Clusters: An Aperture Mass Statistic for Gravitational Flexion
Adrienne Leonard, Lindsay J. King, and Stephen M. Wilkins

TL;DR
This paper introduces an aperture mass statistic for gravitational flexion, enabling effective detection and detailed mapping of substructure in galaxy clusters from simulated lensing data, surpassing traditional shear-based methods.
Contribution
It presents a novel aperture mass technique for flexion, improving substructure detection and shape analysis in galaxy clusters using simulated gravitational lensing data.
Findings
Effective detection of substructure on sub-arcminute scales
High signal-to-noise ratio with moderate data quality
Enhanced information on cluster shape and small-scale features
Abstract
Gravitational flexion has recently been introduced as a technique by which one can map out and study substructure in clusters of galaxies. Previous analyses involving flexion have measured the individual galaxy-galaxy flexion signal, or used either parametric techniques or a KSB-type inversion to reconstruct the mass distribution in Abell 1689. In this paper, we present an aperture mass statistic for flexion, and apply it to the lensed images of background galaxies obtained by ray-tracing simulations through a simple analytic mass distribution and through a galaxy cluster from the Millennium simulation. We show that this method is effective at detecting and accurately tracing structure within clusters of galaxies on sub-arcminute scales with high signal-to-noise even using a moderate background source number density and image resolution. In addition, the method provides much more…
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