Merge pull request #15 from mtauraso/link-fix

Documentation fixups

README.md

@@ -1,6 +1,6 @@
 [![Status of Build and Tests Workflow](https://github.com/aritraghsh09/GaMPEN/actions/workflows/main.yml/badge.svg)](https://github.com/aritraghsh09/GaMPEN/actions/workflows/main.yml)
 [![Documentation Status](https://readthedocs.org/projects/gampen/badge/?version=latest)](https://gampen.readthedocs.io/en/latest/?badge=latest)
-[![Python Version 3.7 and above](https://img.shields.io/badge/Python-3.7%2B-blue)](https://www.python.org/downloads/)
+[![Python Version 3.8](https://img.shields.io/badge/Python-3.8-blue)](https://www.python.org/downloads/)
 [![GitHub license](https://img.shields.io/github/license/aritraghsh09/GaMPEN)](https://github.com/aritraghsh09/GaMPEN/blob/master/LICENSE)
 [![image](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 [![Code DOI](https://zenodo.org/badge/299731956.svg)](https://zenodo.org/badge/latestdoi/299731956)

docs/source/About_Gampen.md

@@ -116,7 +116,7 @@ and flux -- are fairly stable against rotations.
 
 
 ## Publications
-GaMPEN was initially introduced in [Ghosh et al. 2022](https://iopscience.iop.org/article/10.3847/1538-4357/ac7f9e) with a companion catalog of Hyper Suprime-Cam Galaxy Structural Parameters in [Ghosh et al. 2023](https://doi.org/10.3847/1538-4357/ac7f9e).
+GaMPEN was initially introduced in [Ghosh et al. 2022](https://iopscience.iop.org/article/10.3847/1538-4357/ac7f9e) with a companion catalog of Hyper Suprime-Cam Galaxy Structural Parameters in [Ghosh et al. 2023](https://iopscience.iop.org/article/10.3847/1538-4357/acd546).
 
 Since then, GaMPEN has been used in other publications. We always try to maintain an updated record of GaMPEN's trained models and associated catalogs [on this page](./Public_data.md).
 

docs/source/Getting_Started.md

@@ -3,9 +3,9 @@
 GaMPEN is written in Python and relies on the [PyTorch](https://pytorch.org/) deep learning library to perform all of its tensor operations.
 
 ## Installation
-Training and inference for GaMPEN requires Python 3.7+. Trained GaMPEN models can be run on a CPU to perform inference, but training a model requires access to a CUDA-enabled GPU for reasonable training times.
+Training and inference for GaMPEN requires Python 3.7 or 3.8. Trained GaMPEN models can be run on a CPU to perform inference, but training a model requires access to a CUDA-enabled GPU for reasonable training times.
 
-1. Create a new conda environment with Python 3.7+. Extensive instructions on how to create a conda enviornment can be found [here](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands). Of course, you could use any other method of creating a virtual environment, but we will assume you are using conda for the rest of this guide.
+1. Create a new conda environment with Python 3.7 or 3.8. Extensive instructions on how to create a conda enviornment can be found [here](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands). Of course, you could use any other method of creating a virtual environment, but we will assume you are using conda for the rest of this guide.
 ```bash
 conda create -n gampen python=3.7
 ```