HPC resources of the higher school of economics
PS Kostenetskiy, RA Chulkevich… - Journal of Physics …, 2021 - iopscience.iop.org
Abstract The National Research University Higher School of Economics launched its HPC
cluster and created a new division named the Supercomputer Simulation Unit. Now the …
cluster and created a new division named the Supercomputer Simulation Unit. Now the …
CNN-based classifier as an offline trigger for the CREDO experiment
Gamification is known to enhance users' participation in education and research projects
that follow the citizen science paradigm. The Cosmic Ray Extremely Distributed Observatory …
that follow the citizen science paradigm. The Cosmic Ray Extremely Distributed Observatory …
Zernike moment based classification of cosmic ray candidate hits from CMOS sensors
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 …
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 …
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 …
problems of categorization and artefact reduction of cosmic ray images obtained from CMOS …
Particle identification in camera image sensors using computer vision
M Winter, J Bourbeau, S Bravo, F Campos… - Astroparticle …, 2019 - Elsevier
We present a deep learning, computer vision algorithm constructed for the purposes of
identifying and classifying charged particles in camera image sensors. We apply our …
identifying and classifying charged particles in camera image sensors. We apply our …
Fast training data generation for machine learning analysis of cosmic ray showers
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 …
Extensive Air Showers detected by citizen science projects, while taking into account the …
Determination of zenith angle dependence of incoherent cosmic ray muon flux using smartphones of the CREDO Project
The Cosmic-Ray Extremely Distributed Observatory (CREDO) was established to detect and
study ultra high-energy cosmic ray particles. In addition to making use of traditional methods …
study ultra high-energy cosmic ray particles. In addition to making use of traditional methods …
Deep Neural Network Architecture for Low-Dimensional Embedding and Classification of Cosmic Ray Images Obtained from CMOS Cameras
In this paper we propose and evaluate several deep neural network (DNN) architectures that
are capable to generate low-dimensional embedding of cosmic ray images obtained from …
are capable to generate low-dimensional embedding of cosmic ray images obtained from …
Machine learning aided noise filtration and signal classification for CREDO experiment
The wealth of smartphone data collected by the Cosmic Ray Extremely Distributed
Observatory (CREDO) greatly surpasses the capabilities of manual analysis. So, efficient …
Observatory (CREDO) greatly surpasses the capabilities of manual analysis. So, efficient …
Using and Testing Camera Sensors with Different Devices at Cosmic Ray Detection
A Polatoğlu, C Yeşilyaprak - Erzincan University Journal of Science …, 2023 - dergipark.org.tr
Cosmic Ray (CR) is high-energy charged particles that reach the earth from space. CR
detection methods and studies have been progressing rapidly since the beginning of the …
detection methods and studies have been progressing rapidly since the beginning of the …