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Ongoing and future imaging surveys represent significant improvements indepth, area and seeing compared to current data-sets. These improvements offerthe opportunity to discover up to three orders of magnitude more galaxy-galaxystrong lenses than are currently known. In this work we forecast the number oflenses discoverable in forthcoming surveys and simulate their properties. Wegenerate a population of statistically realistic strong lenses and simulateobservations of this population for the Dark Energy Survey (DES), LargeSynoptic Survey Telescope (LSST) and Euclid surveys. We verify our modelagainst the galaxy-scale lens search of the Canada-France-Hawaii TelescopeLegacy Survey (CFHTLS), predicting 250 discoverable lenses compared to 220found by Gavazzi et al (2014). The predicted Einstein radius distribution isalso remarkably similar to that found by Sonnenfeld et al (2013). For futuresurveys we find that, assuming Poisson limited lens galaxy subtraction,searches in DES, LSST and Euclid datasets should discover 2400, 120000, and170000 galaxy-galaxy strong lenses respectively. Finders using blue minus red(g-i) difference imaging for lens subtraction can discover 1300 and 62000lenses in DES and LSST. The uncertainties on the model are dominated by thehigh redshift source population which typically gives fractional errors on thediscoverable lens number at the tens of percent level. We find that doublingthe signal-to-noise ratio required for a lens to be detectable, approximatelyhalves the number of detectable lenses in each survey, indicating theimportance of understanding the selection function and sensitivity of futurelens finders in interpreting strong lens statistics. We make our populationforecasting and simulated observation codes publicly available so that theselection function of strong lens finders can easily be calibrated.

The population of galaxy-galaxy strong lenses in forthcoming optical imaging surveys