The Frontier Fields Lens Modeling Comparison Project
M. Meneghetti, P. Natarajan, D. Coe, E. Contini, G. De Lucia, C., Giocoli, A. Acebron, S. Borgani, M. Bradac, J. M. Diego, A. Hoag, M., Ishigaki, T. L. Johnson, E. Jullo, R. Kawamata, D. Lam, M. Limousin, J., Liesenborgs, M. Oguri, K. Sebesta, K. Sharon, L. L. R. Williams

TL;DR
This paper compares various gravitational lens modeling techniques on simulated galaxy cluster images to evaluate their accuracy, precision, and systematic differences, enhancing the reliability of cluster mass reconstructions for astrophysics and cosmology.
Contribution
It provides the first detailed comparison of multiple lens modeling methods using simulated data, highlighting their strengths and trade-offs.
Findings
All methods produced reliable mass distributions.
Parametric and free-form techniques show different systematic biases.
The comparison informs best practices for future lens modeling.
Abstract
Gravitational lensing by clusters of galaxies offers a powerful probe of their structure and mass distribution. Deriving a lens magnification map for a galaxy cluster is a classic inversion problem and many methods have been developed over the past two decades to solve it. Several research groups have developed techniques independently to map the predominantly dark matter distribution in cluster lenses. While these methods have all provided remarkably high precision mass maps, particularly with exquisite imaging data from the Hubble Space Telescope (HST), the reconstructions themselves have never been directly compared. In this paper, we report the results of comparing various independent lens modeling techniques employed by individual research groups in the community. Here we present for the first time a detailed and robust comparison of methodologies for fidelity, accuracy and…
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