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tokens: We thank Tetsu Kitayama and Daichi Suto for providing us with simulated data points that are presented in Figure 8 . We thank the anonymous referee for providing constructive suggestions that lead to the improvement of this paper. K.U. acknowledges support from the Ministry of Science and Technology of Taiwan (grants MoST 103-2112-M-001-030-MY3 and MoST 106-2628-M-001-003-MY3) and from the Academia Sinica Investigator Award. M.S. acknowledges financial support from the contracts ASI-INAF I/009/10/0, NARO15 ASI-INAF I/037/12/0, ASI 2015-046-R.0, and ASI-INAF n.2017-14-H.0. J.S. was supported by NSF/AST-1617022. M.M., M.S., S.E., J.S. acknowledge support from the Italian Ministry of Foreign Affairs and International Cooperation, Directorate General for Country Promotion (Project “Crack the lens”). This work was made possible by the availability of high-quality lensing data produced by the CLASH survey. This paper made use of the code colossus (Diemer 2017 ) and the packages from Bocquet and Carter ( 2016 ) and Hinton ( 2016 ) for plotting. This work made use of the IPython package (Pérez Granger 2007 ), SciPy (Jones et al. 2001 ), TOPCAT, an interactive graphical viewer and editor for tabular data (Taylor 2005 ), matplotlib, a Python library for publication quality graphics (Hunter 2007 ), Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration et al. 2013 ), NumPy (Van Der Walt et al. 2011 ).