ketrint / ElectromagneticShowersReconstruction

Reconstruction and generation of 3D shower structures for neutrino experiments

Reconstruction of 3D Shower Structures for Neutrino Experiments

Authors: [V. Belavin] ([e-mail]), [E. Trofimova] ([e-mail]), [A. Ustyuzhanin] ([e-mail])

Overview

This directory contains code necessary to run the Electromagnetic Showers (EM) Reconstruction algorithm that is devided into the following parts:

1. Graph Construction;
2. Edge Classification;
3. Showers Clusterization;
4. Parameters Reconstruction.

Experimental Data

X, Y, Z coordinates and the direction of the EM Showers base-tracks.

The showers are generated using FairShip framework.

Data for graph generation is located here: https://gitlab.com/SchattenGenie/shower_generation/blob/master/data/mcdata_taue2.root

Results

The algorithm detects ~ 86% of Showers and assess the coordinates and direction of base-tracks with ~ 75% accuracy.

Clusters Examples:

Running the code

training_classifier.py predicts the probability of edge to connect vertices of one shower. The probability will be then used as edge weight for proposed clusterization algorithm in clustering.py.