From 2957040df59c3e476b24e2935f8249afff6bd24c Mon Sep 17 00:00:00 2001
From: Matt Price <32554533+CosmoMatt@users.noreply.github.com>
Date: Tue, 11 Jun 2024 09:57:41 +0100
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index ab4d3de..a975d87 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@
 [![All Contributors](https://img.shields.io/github/all-contributors/astro-informatics/s2fft?color=ee8449&style=flat-square)](#contributors)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/astro-informatics/s2scat/blob/main/notebooks/synthesis.ipynb)
 
-# S2SCAT: Scattering covariance transform on the sphere
+# Differentiable scattering covariance statistics on the sphere
 
 `S2SCAT` is a Python package for computing scattering covariances on the sphere ([Mousset et al. 2024](https://arxiv.org/abs/xxxx.xxxxx)) using JAX.  It exploits autodiff to provide differentiable transforms, which are also deployable on hardware accelerators (e.g. GPUs and TPUs), leveraging the differentiable and accelerated spherical harmonic and wavelet transforms implemented in [S2FFT](https://github.com/astro-informatics/s2fft) and [S2WAV](https://github.com/astro-informatics/s2wav), respectively.