Jonathan Bossio's repositories
python-tutorial
Learn Python for data analysis from zero with this tutorial based on Jupyter notebooks.
ATLAS_Extension_Requests
Instructions and scripts to find samples of interest to be deleted and to request an extension for them
ATLAS_SUSY_RPVMJ_JetPartonMatcher
A multi-purpose jet-parton matcher for the ATLAS SUSY RPV multijet search
ATLAS_CREATE_DOCKER_IMAGE_FOR_KUBEFLOW
Create docker images for Kubeflow
ATLAS_FCS_DeriveExtrapWeights
Step by step instructions for deriving extrapolation weights and produce validation plots.
ATLAS_FCS_keras2lwtnn
Produce JSON files from keras models to be able to do inference with lwtnn
ATLAS_FCS_RegressionWithKeras
Predict extrapolation weights through regression using Keras
ATLAS_SUSY_RPVMJ_Reweighting
ML-based multijet background estimation through reweithting
ATLAS_SUSY_RPVMJ_SPANet_Pipelines
Create Docker images and ymal files to run Kubeflow pipelines to perform inference on background samples for the ATLAS SUSY RPV multijet search
simple-ml-reweighting-example
Simple example of how to train a network to learn to weight data to follow a given probability distribution.
ATLAS_FCS_PrepareCSVFiles
Convert ROOT files to CSV files
ATLAS_SUSY_RPVMJ_EvaluateSPANetPerformance
Evaluate SPANet performance for the ATLAS SUSY RPV multijet search
ATLAS_SUSY_RPVMJ_MergeFTDijetNtuples
Script only meant to merge ROOT files containing a TTree produced with FactoryTools from dijet samples
ATLAS_SUSY_RPVMJ_NTUPtoH5
Convert TFiles into H5 files for the ATLAS SUSY RPV multijet search
ATLAS_SUSY_RPVMJ_SPANet_Katib
Create Docker images and yaml needed to perform a hyperparameter optimization for SPANet with Kubeflow Katib for the ATLAS SUSY RPV multijet search
ATLAS_xAHplusCPalgsExamples
Example configs for running xAH together CP algorithms
gitlab-ci-build-on-merge-request
Missing "build on Merge Request" feature of Gitlab CI
multiclass-classification-keras-example
Example of a multiclass classifier using Keras
RooUnfoldTutorials
to accompany statisticalmethods.web.cern.ch/tutorials/
SPANet
Symmetry Preserving Attention Networks for Event Reconstruction