PoS - Proceedings of Science
Volume 410 - The 5th International Workshop on Deep Learning in Computational Physics (DLCP2021) - Regular papers
Using Modern Machine Learning Methods on KASCADE Data for Outreach and Education
V. Tokareva*, D. Kostunin, I. Plokhikh and V. Sotnikov
Full text: pdf
Pre-published on: December 01, 2021
Published on: January 12, 2022
Modern astroparticle physics makes wide use of machine learning methods in such problems as noise suppression, image recognition, event classification.
When using these methods, in addition to obtaining new scientific knowledge, it is important also to take advantage of their educational potential.
In this work we present a demo version of the machine-learning based application we have created, which helps students and a broader audience to get more familiar with the cosmic ray physics, and shows how machine learning methods can be used to analyze data. The work discusses the prospects for expanding the application's functionality and methodological approaches to the development of interactive outreach materials in this area.
DOI: https://doi.org/10.22323/1.410.0007
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