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We use AStroLens, a newly developed gravitational lens-modeling code thatrelies only on geometric and photometric information of cluster galaxies asinput, to map the strong-lensing regions and estimate the lensing strength of96 galaxy clusters at $z=0.5$-$0.9$. All clusters were identified during theextended Massive Cluster Survey (eMACS) based on their X-ray flux and opticalappearance. Building on the well tested assumption that the distribution ofboth luminous and dark matter in galaxy clusters is approximately traced by thedistribution of light, i.e., that light traces mass, AStroLens uses threeglobal parameters to automatically model the deflection fromstrong-gravitational lensing for all galaxy clusters in this diverse sample. Wetest the robustness of our code by comparing AStroLens estimates derived solelyfrom shallow optical images in two passbands with the results of in-depthlens-modeling efforts for two well studied eMACS clusters and find goodagreement, both with respect to the size and the shape of the strong-lensingregime delineated by the respective critical lines. Our study finds 31 eMACSclusters with effective Einstein radii ($\theta_{E}$) in excess of 20" andeight with $\theta_{E} >$ 30", thereby underlining the value of X-ray selectionfor the discovery of powerful cluster lenses that complement giants likeMACSJ0717 at ever-increasing redshift. As a first installment toward the publicrelease of the eMACS sample, we list physical properties of the ten calibrationclusters as well as of the ten most powerful eMACS cluster lenses, according toAStroLens.

AStroLens: Automatic Strong-Lens Modeling of X-ray Selected Galaxy Clusters