README.md update

README.md

@@ -6,7 +6,7 @@
 
 [**Detailed documentation: https://rpoleski.github.io/MulensModel/**](https://rpoleski.github.io/MulensModel/)
 
-[Latest release: 2.22.0](https://github.com/rpoleski/MulensModel/releases/latest) and we're working on further developing the code.
+[Latest release: 2.23.0](https://github.com/rpoleski/MulensModel/releases/latest) and we're working on further developing the code.
 
 MulensModel can generate a microlensing light curve for a given set of microlensing parameters, fit that light curve to some data, and return a chi2 value. That chi2 (and its gradient in some cases) can then be input into an arbitrary likelihood function to find the best-fit parameters.
 
@@ -15,7 +15,7 @@ If you want to learn more about microlensing, please visit [Microlensing Source
 Currently, MulensModel supports:
 * Lens Systems: point lens or binary lens. Shear and convergence allowed for both point and binary lenses.
 * Source Stars: single source or binary source.
-* Effects: finite source (1-parameter), parallax (satellite & annual), binary lens orbital motion, **xallarap effect (new)**, different parametrizations of microlensing models.
+* Effects: finite source (1-parameter), parallax (satellite & annual), binary lens orbital motion, xallarap effect (**new - with both sources luminous**), different parametrizations of microlensing models.
 
 Need more? Open [an issue](https://github.com/rpoleski/MulensModel/issues), start [a discussion](https://github.com/rpoleski/MulensModel/discussions), or send us an e-mail. 
 
@@ -61,4 +61,4 @@ If you want to contribute to MulensModel, then please see [this file](CONTRIBUTI
 ![PyPI - Downloads](https://img.shields.io/pypi/dm/MulensModel)
 ![example workflow](https://github.com/rpoleski/MulensModel/actions/workflows/python-app.yml/badge.svg)
 
-file revised Apr 2024
+file revised May 2024