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 …

MTF measurement by slanted-edge method based on improved Zernike moments

S Zhang, F Wang, X Wu, K Gao - Sensors, 2023 - mdpi.com
The modulation transfer function (MTF) is an important parameter for performance
evaluation of optical imaging systems in photogrammetry and remote sensing; the slanted …

Differentiating signal from artefacts in cosmic ray detection: Applying Siamese spiking neural networks to CREDO experimental data

M Pabian, D Rzepka, Ł Bibrzycki, M Pawlak - Measurement, 2023 - Elsevier
Abstract The Cosmic Ray Extremely Distributed Observatory (CREDO) is an international
research consortium aimed at observing high energy cosmic ray particles. The associated …

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 …

On the Search for Potentially Anomalous Traces of Cosmic Ray Particles in Images Acquired by Cmos Detectors for a Continuous Stream of Emerging Observational …

M Piekarczyk, T Hachaj - Sensors, 2024 - mdpi.com
In this paper we propose the method for detecting potential anomalous cosmic ray particle
tracks in big data image dataset acquired by Complementary Metal-Oxide-Semiconductors …

Machine Learning Methods Used in the Automatic System for Teaching Human Motions–Key Aspects of CNN, HMM, and Minimum Distance Algorithms

K Wójcik - IEEE Access, 2024 - ieeexplore.ieee.org
The article describes problems related to the construction of an automatic system for
teaching human motor activities. Teaching these activities in rehabilitation, sports, and …

MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator

S Kutschera, W Slany, P Ratschiller, S Gursch… - Entropy, 2023 - mdpi.com
Privacy and security require not only strong algorithms but also reliable and readily
available sources of randomness. To tackle this problem, one of the causes of single-event …

A New Method of Simulation of Cosmic-ray Ensembles Initiated by Synchrotron Radiation

O Sushchov, P Homola, M Piekarczyk, O Ruimi… - Symmetry, 2022 - mdpi.com
Cosmic rays interact with fields and background radiation as they propagate in space,
producing particle cascades of various sizes, shapes and constituents. The potential …

Determination of spherical coordinates of sampled cosmic ray flux distribution using Principal Components Analysis and deep Encoder-Decoder network

T Hachaj, M Piekarczyk, Ł Bibrzycki… - Machine Graphics and …, 2024 - mgv.sggw.edu.pl
In this paper we propose a novel algorithm based on the use of Principal Components
Analysis for the determination of spherical coordinates of sampled cosmic ray flux …