Thank you for your interest in EXSAN. If you like the code, please send feedback to [email protected].

If EXSAN helps you in your research, please cite this open source article from the Annals of Nuclear Energy:

Wooten, H., "An application for streamlined and automated ENDF Cross Section Analysis and visualization," Ann Nuc Energy, 129, 482-486, 2019.

1. Install Anaconda

EXSAN is written in Python 2.7, and requires the Python (2.7) Anaconda distribution.

2. Add Anaconda to your path

After Anaconda installation, make sure that Anaconda is pre-pended to your path. On Mac OSX, this can be done by typing the following command in the terminal, and/or adding it to your $HOME/.bash_profile file:

export PATH="$HOME/anaconda2/bin:$PATH"

3. Install NJOY2016

Processing raw ENDF files requires an NJOY 2016 executable. Instructions for downloading and compiling NJOY are here. The minor modifications required to obtain NJOY2016 are as follows:

# Download the source code
git clone https://github.com/njoy/NJOY2016.git

# Get the desired version of NJOY21 (1.0.0 in this example)
cd NJOY2016
wget https://raw.githubusercontent.com/njoy/signatures/master/NJOY21/1.0.0-NJOY21.json
./metaconfigure/fetch_subprojects.py 1.0.0-NJOY21.json

# Configure the build process
mkdir bin
cd bin
cmake -D fetched_subprojects=true -D CMAKE_BUILD_TYPE=release ../

# Build NJOY1
make

# Test NJOY1
make test

Make note of the absolute path for the NJOY2016 executable, as this will be needed in the next steps.

4. View EXSAN's help menu

python exsan.py -h

One of the options, -n, lets you tell EXSAN where the NJOY2016 executable file is located (i.e., provide the absolute path to the NJOY2016 executable)

5. Launch EXSAN and specify the NJOY2016 executable absolute path

python exsan.py -n /Absolute/Path/To/NJOY2016/bin/njoy

After you have NJOY installed and linked, this tutorial will walk you through how to use the main features of EXSAN.

EXSAN has been tested on Mac OSX 10.11 and higher. It has not yet been tested on any other operating systems!

This software has been approved for open source release by Los Alamos National Laboratory as LA-CC-19-002.