Oğuz Güzel

Experimental particle physics leveraging machine learning with data collected at CERN.

Portfolio

Transformer Classifier Permalink

Transformer encoder-only model using pytorch is used to classify signal and background events with a neural network attached to it, with the low level particle information as input features. The evaluation is done with k=2 fold cross validation.

XGBoost Classifier Permalink

This notebook demonstrates the use of XGBoost for classification tasks in the context of particle physics data analysis, specifically for the HH-> bbWW process in Run3 data.