laf_BRIL_2025

Repository of the anomaly finder of the PLT.

Instalation

This tool is thought to be used with python 3.10.12 If this is not you python version you can used with a virtual environment from conda. You may want to check if you have it already installed by trying

conda --version

If you get something similar to conda: command not found, you don't have conda installed, and can proceed with the instalation of it. Also if you have conda but it's not installed in the eos space, is highly recommended you to reinstall it there, since the needed modules will end filling completely your available space at afs.

Conda instalation

If you're working at the lxplus, you may want to install conda (and most of your instalations) on the eos space since you don't have too much space at the afs area. To do this, go to your .bashrc and paste the next line at the end of it

export HOME="/eos/user/<user_initial>/<user_name>"

Save the changes and do the following command on your terminal:

source .bashrc

Now the changes were applied. You may want to change to the eos to proceed with the instalation, you can do it by doing on the terminal:

cd /eos/user/<user_initial>/<user_name>

Now download the conda installer:

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh

We must give permitions and execute the .sh file downloaded

chmod +x Miniconda3-latest-Linux-x86_64.sh
./Miniconda3-latest-Linux-x86_64.sh

you may want to accept the terms and if it asks if you want to add conda to your .bashrc, you may say yes. Otherways, you'll have to activate conda before every time you want to use it.

Refresh the changes of the .bashrc by doing:

source /afs/cern.ch/user/<user_initial>/<user_name>/.bashrc

Check the instalation once again by doing:

conda --version

If for any reason you still don't see conda installed, you may want to source to the .bashrc at your eos space.

Installing python 3.10.12

Now that you have conda do:

conda create -n .laf python=3.10.12

Once created, you'll be able to activate it by:

conda activate .laf

Installing the requirements

The tool is thought to be used at CERN lxplus at the eos space. Clone the repository by doing:

git clone https://github.com/tomasate/laf_BRIL_2025.git laf

Once you have cloned it cd into it and install the requirements

cd laf
pip install -r requirements.txt

Instructions

This tool requires pickle files output from NonLinearity/poggers.

In order to use this tool, run the runner_laf.py like this:

python runner_laf.py --plt_path <path_to_the_plt_pickle_files> --dt_path <path_to_the_dt_pickle_files> --fill <fill_number> --year <year_of_the_fill>

You can also use the argument --out to set the output folder where the restults will be `stored.

The output plot will be stored in the folder src/results/<year> with the fill number.