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Welcome to microlux¤

microlux is a Jax-based package that is used to calculate the binary lensing light curve with the finite source effect using the contour integration method. We inherit the novel features in VBBinaryLensing including parabolic correction and optimal sampling to maximize the performance. This is built on the JAX library which provides a NumPy-like interface with GPU and automatic differentiation support for high-performance machine learning research. Through automatic differentiation and our package, we get access to the accurate gradient for exploring more advanced algorithms.

Features¤

  • Optimal sampling and contour integration with error control to calculate the binary lens microlensing light curve with finite source effect.
  • Robust and accurate calculation: Widely test over the broad parameter space compared with VBBinaryLensing
  • Fast speed: Fully compatible with JIT compilation to speed up calculation.
  • Accurate gradient: Automatic differentiation with novel error estimator to ensure the convergence of gradient.
  • Aberth–Ehrlich method to find the roots of the polynomial and liner sum assignment algorithm to match the images
  • Application on real events modeling using NUTS in Numpyro

Reference¤

Under development and Paper is coming soon.

Quick Start¤

Under development