Merge branch 'rpoleski:master' into master

mjmroz · Nov 27, 2024 · 531d3c8 · 531d3c8
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diff --git a/README.md b/README.md
@@ -6,15 +6,15 @@
 
 [**Detailed documentation: https://rpoleski.github.io/MulensModel/**](https://rpoleski.github.io/MulensModel/)
 
-[Latest release: 2.23.0](https://github.com/rpoleski/MulensModel/releases/latest) and we're working on further developing the code.
+[Latest release: 3.0.0](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.
 
 If you want to learn more about microlensing, please visit [Microlensing Source website](http://microlensing-source.org/).
 
 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.
+* Source Stars: single source, binary source, or even larger number of sources.
 * 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 May 2024
+file revised Nov 2024
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