MARS: A New Maximum Entropy-Regularized Strong Lensing Mass Reconstruction Method
arXiv:2202.10489 · doi:10.3847/1538-4357/ac69df
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 % agreements with the truth for the regions constrained by the multiple images. Finally, we apply to A1689 and find that the cluster mass in the SL regime is dominated by the primary halo centered on the brightest cluster galaxy and the weaker secondary halo also coincident with the bright cluster member ~160 kpc northeast. Within the SL field, the A1689 radial profile is well-described by a Navarro-Frenk-White (NFW) profile with and kpc and we find no evidence that A1689 is over-concentrated.
accepted to ApJ
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- Mapping dark matter in the Bullet Cluster using JWST imaging and spectroscopy
- Weak-lensing Mass Reconstruction of Galaxy Clusters with a Convolutional Neural Network -- II: Application to Next-Generation Wide-Field Surveys
- What Multiple Images Say About the Large-Scale Mass Maps of Galaxy Clusters
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- MrMARTIAN: A Multi-resolution Mass Reconstruction Algorithm Combining Free-form and Analytic Components