Simulating time-varying strong lenses

We present a self-consistent and versatile forward modelling software package that can produce time series pixel-level simulations of time-varying strongly lensed systems. The dimension, which needs to take into account different physical mechanisms for variability such as microlensing, has been missing from existing approaches it is direct relevance delay, consequently H0, measurements caustic crossing event predictions. Such experiments are becoming more streamlined, especially with the advent domain surveys, understanding their systematic statistical uncertainties in model-aware physics-driven way help improve accuracy precision. Here we demonstrate software's capabilities by exploring effect measuring delays quasars supernovae many wavelengths under microlensing intrinsic assumptions. In this initial application, find cadence observations combining information plays an important role correct recovery delays. Mock Lenses Time (MOLET) available at: \url{https://github.com/gvernard/molet}