# Parameterisation Tuner

This project provides utils for producing magic parameters used by the pattern recognition algorithms in the Rec project. Typical parameters are coefficients for extrapolation polynomials and weights for TMVA methods.
This is essentially forked from [this repo](https://gitlab.cern.ch/gunther/prforwardtracking-parametrisation-tuner/-/tree/master) by André Günther.

This repository was used by Furkan Selim Cetin for work regarding his [Bachelorthesis](https://git.physi.uni-heidelberg.de/cetin/thesis).


## Setup
There's a bash script for setting up the necessary (python) environment. Simply do:
```
chmod +x setup.sh
./setup.sh
```
This will install dependencies like ROOT and Jupyter. To enter the environment do:
```
source env/tuner_env/bin/activate
conda activate tuner
```