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tokens: D.A.G. gratefully acknowledges Eric Linder for a careful reading of the manuscript and for thoughtful feedback. Greg Aldering and Alex Kim also deserve thanks for feedback that improved the paper. D.A.G., T.E.C., and P.E.N. are members of the Large Synoptic Survey Telescope Dark Energy Science Collaboration (LSST-DESC), and they acknowledge Phil Marshall and the Strong Lensing working group for bringing them together so that this work could be launched. D.A.G. thanks Kyle Barbary for leading the development of sncosmo (Barbary et al. 2016 ), which was essential to the analysis. The authors acknowledge support from the DOE under grant DE-AC02-05CH11231, Analytical Modeling for Extreme-Scale Computing Environments. D.N.K is supported in part by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics, under contract number DE-AC02-05CH11231 and DE-SC0017616, and by a SciDAC award DE-SC0018297. This research was supported by the Gordon and Betty Moore Foundation through Grant GBMF5076. The authors are grateful to the Royal Society for an International Exchange Grant (IE170307), which has supported our collaboration on this work. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 as well as the savio cluster at UC Berkeley. Figures 2 , 9 , and 11 were rendered with code based on ChainConsumer (Hinton 2016 ). This research has made use of NASA’s Astrophysics Data System. This research made use of Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration et al. 2013 ).