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tracking-parametrisation-tuner
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parameterisation ycorr done and now do magnet z position 		7 months ago
arc6_data param and ghost data 7 months ago
data_matching parameterisation 7 months ago
env first commit 10 months ago
moore_options parameterisation ycorr done and now do magnet z position 7 months ago
neural_net_training training of nn 9 months ago
nn_neural_net_training correct insanity cuts, 7 months ago
parameterisations parameterisation ycorr done and now do magnet z position 7 months ago
scripts try filters 7 months ago
thesis parameterisation 7 months ago
.gitignore added sample 4 files 7 months ago
.gitlab-ci.yml first commit 10 months ago
.pre-commit-config.yaml first commit 10 months ago
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README.md readme 10 months ago
electron_main.py parameterisation 7 months ago
main.py parameterisation ycorr done and now do magnet z position 7 months ago
main_tracking_losses.py first commit 10 months ago
setup.sh first commit 10 months ago
tuner.code-workspace fixed calo filter 8 months ago

README.md

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 based on this repo by André Günther.

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