MARS: A New Maximum Entropy-Regularized Strong Lensing Mass Reconstruction Method
Sangjun Cha, M. James Jee

TL;DR
The paper introduces MARS, a novel free-form strong-lensing mass reconstruction method that minimizes overfitting and does not assume light traces mass, achieving high accuracy and stability in complex galaxy cluster analyses.
Contribution
MARS is a new maximum-entropy regularized method for free-form strong-lensing mass reconstruction that improves convergence, reduces spurious fluctuations, and does not rely on light-traces-mass assumptions.
Findings
Achieves source position accuracy of ~0.001".
Reconstructs radial mass profiles with <1% error.
Successfully applied to A1689, fitting NFW profile without over-concentration.
Abstract
Free-form strong-lensing (SL) mass reconstructions typically suffer from overfitting, which manifest itself as false-positive small-scale fluctuations. We present a new free-form MAximum-entropy ReconStruction () method without the assumption that light traces mass (LTM). The algorithm enables us to achieve excellent convergence in source positions ~0.001, minimize spurious small-scale fluctuations, and provide a quasi-unique solution independently of initial conditions. Our method is tested with the publicly available synthetic SL data and the comparison with the truth shows that the reconstruction quality is on a par with those of the best-performing LTM methods published in the literature, which have been demonstrated to outperform the existing free-form methods. In terms of the radial mass profile reconstruction, we achieve %…
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