deepRadiation

A Deep Neural Network-based radiation pressure prediction using TensorFlow.

Contributors

• Rinku Mishra, IPR, India.
• Sayan Adhikari, UiO, Norway. @sayanadhikari
• Rupak Mukherjee, PPPL, USA.

Installation

Prerequisites

1. python3 or higher
2. git
3. conda

Procedure

Using Anaconda/Miniconda

First make a clone of the master branch using the following command

git clone https://github.com/Neural-Plasma/deepRadiation.git

Then enter inside the deepDiffusion directory

cd deepRadiation

Now create a conda environment using the given environment.yml file

conda env create -f environment.yml

Activate the conda environment

conda activate deepRadiation

Usage

Run the code using following command

python deepRad -l -hp -tp

To know about the arguments

python deepRad -h

Contributing

We welcome contributions to this project.

1. Fork it.
2. Create your feature branch (git checkout -b my-new-feature).
3. Commit your changes (git commit -am 'Add some feature').
4. Push to the branch (git push origin my-new-feature).
5. Create new Pull Request.

License

Released under the MIT license.