ML-RT version 2

Radiative transfer with advanced machine learning methods

Setup

Software requirements

We assume your system is equipped with the following dependencies:

• Python 3.8 or newer
• bash
• wget
• unzip
• md5sum (optional)

System packages

On Debian or Debian-derivatives, e.g. Ubuntu, the required packages should be part of the base installation but can be installed using the default package manager if necessary with the following command:

sudo apt install wget unzip md5sum

Python modules

Furthermore, the following Python packages are needed:

• pytorch
• numpy (1.21.1 fixed for now because of a numba bug)
• numba (0.53.1)
• pydoe
• matplotlib
• deepxde
• tensorboard

pip

The Python dependencies can be installed with pip like so:

pip3 install -r requirements.txt

conda

In Anaconda (or Miniconda) environments the requirements can be installed like so:

conda config --add channels conda-forge
conda install --yes --file requirements_conda.txt