bsm4tops-gnn
  • BSM4tops machine learning project
  • Introduction
  • Problem description
  • Concepts
    • Exotic heavy particles in four-top final states
    • Artificial neural networks
    • Graph neural networks
  • Hands-on: simple problem
    • Diving into python
    • Simulation of a four-top-quark process
    • Exploring the dataset
    • Creating a classifier
    • Artificial neural networks for classification
    • Graph neural networks for classification
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  • Dataset
  • Setup
  • Making plots

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  1. Hands-on: simple problem

Exploring the dataset

PreviousSimulation of a four-top-quark processNextCreating a classifier

Last updated 3 years ago

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Now is the time where you can start looking at the simulated dataset.

To this end, there is a gitlab project with code and data for the simple statement of the research problem.

If you are not familiar with git or version control systems in general, please have a look at this tutorial: https://www.codecademy.com/learn/learn-git

Dataset

We have already prepared for you a set of 20.000 collision events using the LHE file format, conveniently converted into a ROOT file.

You can find the dataset here:

Setup

To start the project, please open a new terminal and create a new directory for your summer student project. In case you are not familiar with the command line, have a look at this tutorial: https://www.codecademy.com/learn/learn-the-command-line

First, download the git project:

git clone git@github.com:philippgadow/bsm4tops-gnn.git

Then move into the directory for the exploration of the dataset:

cd bsm4tops-gnn/plotting

We will use python throughout the project to benefit from a number of useful packages. Setting these up works best in a clean environment. Therefore, we use the python virtual environment (similar to conda if you have heard of that one).

A setup script is provided which takes care of that for you:

source setup.sh

Now the virtual environment is activated. You notice that the command line now starts with "(venv)". Whenever you return to the project and open a new terminal, make sure to execute the setup script every time before you start.

Making plots

You can now start making first plots of distributions. There is already a script provided which takes the simple dataset. You can execute it as follows:

python scripts/bsm4tops_plot.py ../data/simple/unweighted_events.root

As a result, you should see a few png image files in your directory. What can you learn from them?

Your next step is more challenging, finally you can start working on your own.

Open the script in an editor and create the following set of plots:

  • the invariant mass distribution for the top quarks from the associated production

  • the DeltaR distrance between the top quarks from the resonance decay

  • the DeltaR distance between the top quarks from the associated production

LogoGitHub - philippgadow/bsm4tops-gnnGitHub
Logobsm4tops-gnn/data/simple at master · philippgadow/bsm4tops-gnnGitHub