18 lines
657 B
Markdown
18 lines
657 B
Markdown
# Parameterisation Tuner
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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.
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This is based on [this repo](https://gitlab.cern.ch/gunther/prforwardtracking-parametrisation-tuner/-/tree/master) by André Günther.
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## Setup
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There's a bash script for setting up the necessary (python) environment. Simply do:
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```
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chmod +x setup.sh
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./setup.sh
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```
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This will install dependencies like ROOT and Jupyter. To enter the environment do:
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```
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source env/tuner_env/bin/activate
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conda activate tuner
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```
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