Application of pattern spectra and convolutional neural networks to the analysis of simulated Cherenkov Telescope Array data

J. Aschersleben*, R. F. Peletier, M. Vecchi, M. H. F. Wilkinson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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Abstract

The Cherenkov Telescope Array (CTA) will be the next generation gamma-ray observatory and will be the major global instrument for very-high-energy astronomy over the next decade, offering 5 - 10 x better flux sensitivity than current generation gamma-ray telescopes. Each telescope will provide a snapshot of gamma-ray induced particle showers by capturing the induced Cherenkov emission at ground level. The simulation of such events provides images that can be used as training data for convolutional neural networks (CNNs) to determine the energy of the initial gamma rays. Compared to other state-of-the-art algorithms, analyses based on CNNs promise to further enhance the performance to be achieved by CTA. Pattern spectra are commonly used tools for image classification and provide the distributions of the shapes and sizes of various objects comprising an image. The use of relatively shallow CNNs on pattern spectra would automatically select relevant combinations of features within an image, taking advantage of the 2D nature of pattern spectra. In this work, we generate pattern spectra from simulated gamma-ray events instead of using the raw images themselves in order to train our CNN for energy reconstruction. This is different from other relevant learning and feature selection methods that have been tried in the past. Thereby, we aim to obtain a significantly faster and less computationally intensive algorithm, with minimal loss of performance.
Original languageEnglish
Title of host publicationProceedings of the 37th International Cosmic Ray Conference (ICRC 2021), Berlin, Germany
PublisherProceedings of Science
Number of pages14
Volume395
DOIs
Publication statusPublished - 18-Mar-2022
Event37th International Cosmic Ray Conference - Online, Berlin, Germany
Duration: 12-Jul-202123-Jul-2021

Conference

Conference37th International Cosmic Ray Conference
Abbreviated titleICRC
Country/TerritoryGermany
CityBerlin
Period12/07/202123/07/2021

Keywords

  • Astrophysics - Instrumentation and Methods for Astrophysics

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