Ultra high energy cosmic rays The intersection of the Cosmic and Energy Frontiers

A Coleman, J Eser, E Mayotte, F Sarazin… - Astroparticle …, 2023 - Elsevier
The present white paper is submitted as part of the “Snowmass” process to help inform the
long-term plans of the United States Department of Energy and the National Science …

Blazar jets as possible sources of ultra-high energy photons: a short review

G Bhatta - Universe, 2022 - mdpi.com
In this paper, I present a qualitative discussion on the prospect of production of ultra-high
photons in blazars. The sources are a subclass of active galactic nuclei which host …

The practice of detecting potential cosmic rays using CMOs cameras: hardware and algorithms

T Hachaj, M Piekarczyk - Sensors, 2023 - mdpi.com
In this paper, we discuss a practice of potential cosmic ray detection using off-the-shelves
CMOS cameras. We discuss and presents the limitations of up-to-date hardware and …

Hybrid method for detecting anomalies in cosmic ray variations using neural networks autoencoder

O Mandrikova, B Mandrikova - Symmetry, 2022 - mdpi.com
Cosmic rays were discovered by the Austrian physicist Victor Hess in 1912 in a series of
balloon experiments performed between 1911 and 1912. Cosmic rays are an integral part of …

CNN-based classifier as an offline trigger for the CREDO experiment

M Piekarczyk, O Bar, Ł Bibrzycki, M Niedźwiecki… - Sensors, 2021 - mdpi.com
Gamification is known to enhance users' participation in education and research projects
that follow the citizen science paradigm. The Cosmic Ray Extremely Distributed Observatory …

Zernike moment based classification of cosmic ray candidate hits from CMOS sensors

O Bar, Ł Bibrzycki, M Niedźwiecki, M Piekarczyk… - Sensors, 2021 - mdpi.com
Reliable tools for artefact rejection and signal classification are a must for cosmic ray
detection experiments based on CMOS technology. In this paper, we analyse the fitness of …

Recognition of cosmic ray images obtained from CMOS sensors used in mobile phones by approximation of uncertain class assignment with deep convolutional …

T Hachaj, Ł Bibrzycki, M Piekarczyk - Sensors, 2021 - mdpi.com
In this paper, we describe the convolutional neural network (CNN)-based approach to the
problems of categorization and artefact reduction of cosmic ray images obtained from CMOS …

Fast training data generation for machine learning analysis of cosmic ray showers

T Hachaj, Ł Bibrzycki, M Piekarczyk - IEEE Access, 2023 - ieeexplore.ieee.org
Applying Machine Learning (ML) methods for the analysis of muon lateral distributions in
Extensive Air Showers detected by citizen science projects, while taking into account the …

Searching of Potentially Anomalous Signals in Cosmic-Ray Particle Tracks Images Using Rough k-Means Clustering Combined with Eigendecomposition-Derived …

T Hachaj, M Piekarczyk, J Wąs - International Joint Conference on Rough …, 2023 - Springer
Our work presents the application of the rough sets method in the field of astrophysics for the
analysis of observational data recorded by the Cosmic Ray Extremely Distributed …

[HTML][HTML] Intermittent behaviour in small CORSIKA showers

T Wibig - Journal of High Energy Astrophysics, 2023 - Elsevier
In this work we are concerned with the quantitative study of correlations between charged
particles: electrons/positrons and muons in small Extensive Air Showers. By “small”, we …