jeteloss 0.3

Data-driven extraction of jet energy loss distributions in heavy-ion collisions

Data driven extraction of jet energy loss distributions in heavy ion collisions

Introduction

Installation

Method 1: using pip

Step 1:

pip install jeteloss

Step 2:

git clone

Step 3:

cd jeteloss/examples python example1.py

Method 2: install from local directory

Step 1: download the code from github

git clone

cd jeteloss

python setup.py install

Method 3: using anaconda

Step 1: To create one clean python virtual environment

conda create -n test_jeteloss python=3.6

Step 2: To activate this environment, use:

source activate test_jeteloss

Step 3: Install jeteloss module and its dependences

pip install jeteloss

Step 4: Run the example code downloaded using:

git clone *

cd jeteloss/examples

python example1.py

Step 5: To deactivate an active environment, use:

source deactivate

Step 6: Clean up To see how many environments do you have, use:

conda env list

To remove one environment, use:

conda remove --name myenv --all

Citation