Repository for my SURF Caltech-CMS project on deep learning for imaging calorimetry in the LCD (Linear Collider Detector), in which we reconstruct the energy of the particles through regression.
This repository has data pre-processing functions, model topologies and post-processing functions to analyze the data.
The notebooks that apply this back end to simulated data are in the NotebooksLCD repository.
Pre-processing dependencies: Danny Weitecamp's CMS_Deep_Learning package for the data generator.
Machine Learning dependencies: Keras with Tensorflow in the backend.
Post-processing dependencies: Matplotlib, Scipy.