January 01, 2023 article Open access Fast Training Data Generation for Machine Learning Analysis of Cosmic Ray Showers IEEE Access DOI: 10.1109/access.2023.3237800 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 8 References 4 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Direct measurement of the muonic content of extensive air showers between $$\mathbf { 2\times 10^{17}}$$ and $$\mathbf {2\times 10^{18}}~$$eV at the Pierre Auger Observatory 2020 The European Physical Journal C article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access 70 citations Deep-learning based reconstruction of the shower maximum X$_{max}$ using the water-Cherenkov detectors of the Pierre Auger Observatory 2021 Repository KITopen (Karlsruhe Institute of Technology) article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access 40 citations Deep-learning based reconstruction of the shower maximum X max using the water-Cherenkov detectors of the Pierre Auger Observatory 2021 Journal of Instrumentation article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access 30 citations Identification of patterns in cosmic-ray arrival directions using dynamic graph convolutional neural networks 2020 Astroparticle Physics article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access 15 citations 4 results