Published 2019 | Version v1
Journal article

Deep Learning based Air Shower Reconstruction at the Pierre Auger Observatory

  • 1. III. Physikalisches Institut A, RWTH Aachen (Germany)

Description

The surface detector of the Pierre Auger Observatory measures the footprint of ultra-high energy cosmic ray induced air showers on ground level. Furthermore, fluorescence telescopes allow hybrid detection of air showers and hence, for an independent crosscheck. Reconstructing observables sensitive to the cosmic ray mass, is a challenging task and mainly based on the fluorescence detector which, however, has a small duty cycle. Recently, great progress has been made in multiple fields of machine learning by using deep neural networks and associated techniques. Applying these new techniques on air shower physics provides a new and independent reconstruction. In this talk, we present AixNet, a deep convolutional neural network for the reconstruction of ultra-high energy cosmic rays properties. First, we assess the performance on CORSIKA based air showers, discuss the performance limit and compare the performance achieved on data by cross-calibrating with the fluorescence detector. Furthermore, we visualize the multidimensional differences between data and simulation using deep neural networks to understand differences in the reconstruction and prepare the simulation for refinement studies.

Availability note (English)

Available from: https://www.dpg-verhandlungen.de/

Additional details

Publishing Information

Journal Title
Verhandlungen der Deutschen Physikalischen Gesellschaft
Journal Issue
Aachen 2019 issue
Journal Page Range
[1 p.]
ISSN
0420-0195
CODEN
VDPEAZ

Conference

Title
Particle physics, didactics of physics, working group jDPG, working group physics, modern information technology and artificial intelligence
Original Conference Title
DPG-Fruehjahrstagung 2019 mit den folgenden Fachverbaenden und Arbeitskreisen: Teilchenphysik, Didaktik der Physik, Arbeitskreis jDPG, Arbeitskreis Physik, moderne Informationstechnologie und Kuenstliche Intelligenz
Acronym
DPG Spring meeting 2019 of the following divisions und working groups
Dates
25-29 Mar 2019
Place
Aachen (Germany)

Optional Information

Notes
Session: T 29.9 Di 18:00; Also available as printed version: Verhandlungen der Deutschen Physikalischen Gesellschaft v. 54(3)