updates from main branch

Author: davidesciotti

README.md

@@ -4,13 +4,30 @@
 
 <!-- ![sb_logo](https://github.com/user-attachments/assets/6c5d9280-70b2-4f66-8bfb-c513317aea06) -->
 
-# Spaceborne
+<div style="text-align: center;" align="center">
+
+# Spaceborne: fast and accurate analytical covariance matrices for precision cosmology
 
 
 [![Documentation Status](https://readthedocs.org/projects/spaceborne/badge/?version=latest)](https://spaceborne.readthedocs.io/en/latest/?badge=latest)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](./LICENSE)
+[![Linter](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
+
+</div>
 
 ---
+Spaceborne is a code for the fast and accurate computation of the analytical photometric probes (weak lensing, photometric galaxy clustering and galaxy-galaxy lensing) covariance matrix for modern cosmological analyses.
+Some of its features include:
+
+* Easy to use: all settings are detailed (along with type hints) in the `yaml` example config file, with further explanations in the [readthecods](https://spaceborne.readthedocs.io/en/latest/?badge=latest) page.
+* Extensively validated against simulations and other public codes.
+* Interfaced with CCL and cloelib (soon), two of the most modern and extensive cosmological libraries.
+* Different statistics available: $C(\ell)$ and 2PCF
+* Python native: written entirely in pure Python, with no low-level interfaces (e.g., C/C++ wrappers). This makes the code highly accessible, transparent, and easy to modify.
+* JAX-accelerated: the most intensive computations are optimised using JAX, seamlessly providing multi-device (CPU, GPU, TPU) support.
+* ... and much more!
+
+
 For detailed instructions on how to install and use Spaceborne, please refer to the official [documentation](https://spaceborne.readthedocs.io/en/latest/).
 
 ## Installation

pyproject.toml

@@ -1,7 +1,7 @@
 [tool.poetry]
 name = "Spaceborne"
 readme = "README.md"
-version = "2025.07.3"
+version = "2025.10.1"
 license = "MIT License"
 description = "Code to compute the covariance matrix for the 3x2pt photometric survey in harmonic and real space."
 authors = ["davidesciotti <84071067+davidesciotti@users.noreply.github.com>"]
@@ -11,11 +11,13 @@ requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.poetry.dependencies]
-python = "=3.12.*"
-pyyaml = "*"
-joblib = "*"
-pyfiglet = "*"
-tqdm = "*"
+# python = "=3.12.*"
+# pyyaml = "*"
+# joblib = "*"
+# pyfiglet = "*"
+# tqdm = "*"
+# jax = "*"
+
 # these are taken care of by conda, which needs to install them for
 # ccl and namaster anyways
 # matplotlib = "*"