From 6e18f177dce9ea397b7c3e9a61fe67f7697517c8 Mon Sep 17 00:00:00 2001 From: Tobias Buck Date: Fri, 19 Dec 2025 14:12:02 +0100 Subject: [PATCH] Update README with All Contributors badge --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 8e91457..77df351 100644 --- a/README.md +++ b/README.md @@ -9,11 +9,12 @@ [![Documentation Status](https://readthedocs.org/projects/rubix/badge/)](https://astro-rubix.web.app) [![codecov](https://codecov.io/gh/AstroAI-Lab/rubix/branch/main/graph/badge.svg)](https://codecov.io/gh/AstroAI-Lab/rubix) [![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit) -[![All Contributors](https://img.shields.io/github/all-contributors/AstroAI-Lab/rubix?color=ee8449&style=flat-square)](#contributors) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/) -[![Type checking](https://github.com/beartype/beartype-assets/blob/main/badge/bear-ified.svg)](https://github.com/beartype/beartype) +[![Type checking](https://github.com/beartype/beartype-assets/blob/main/badge/bear-ified.svg)](https://github.com/beartype/beartype) +[![All Contributors](https://img.shields.io/badge/all_contributors-9-orange.svg?style=flat-square)](#contributors-) + RUBIX is a versatile Integral Field Unit (IFU) tool designed for astrophysical simulations. It transforms any particle based galaxy model (e.g. cosmological hydrodynamical simulation outputs) into realistic mock IFU cubes, enabling both forward and inverse modeling. Built on JAX, RUBIX leverages GPU acceleration and automatic differentiation, allowing users to perform gradient-based optimization for inverse modeling alongside traditional forward modeling.