top-ml

This repository will contain all the scripts used in the ML in ttbar resonance project.

Documentation

Detailed description will be found in the documentation page.

Installation

These instructions are to use primarily on flashy (atlas-t3-ubc.westgrid.ca), which only has CPUs. You need to have git and anaconda to start with. Detailed instruction in the code set-up page.

For the first time

git clone https://github.com/elhamekhoda/top-ml.git
cd top-ml
conda env create -f env_top-ml.yml
conda activate top-ml

Future log-in

cd top-ml
conda activate top-ml

Data set

The dataset files will be in the Hierarchical Data Format (HDF). Our dataset will be in hdf5 format. .

The variables are stored in /data/elham/top-ml-project/inputs/ directory on UBC cluster. Detailed description can be found in the data-set page.

Training set: DNN

The training input and target variables are listed in scripts/training_set.py file.