activity
20182023
most citedCosmic Ray Extremely Distributed Observatory

52 citations · 108 across the 15 of their papers we have counts for

collaborators

15 papers

astro-ph.HE2023

Simulation of the isotropic ultra-high energy photons flux in the solar magnetic field and a comparison with observations made by the HAWC and Fermi-LAT observatories

David Alvarez-Castillo, Piotr Homola, Bożena Poncyljusz +37

In this contribution we study the possibility of the formation of cosmic ray ensembles (CRE) created by the interaction of ultra-high energy (UHE) photons with the magnetic field o…

astro-ph.HE2022★ 4 cited

Simulation of the isotropic ultra-high energy photons flux in the solar magnetic field

Bożena Poncyljusz, Tomasz Bulik, Niraj Dhital +17

Both the lack of observation of ultra-high energy (UHE) photons and the limitations of the state-of-the-art methodology being applied for their identification motivate studies on a…

astro-ph.HE2022★ 10 cited

Advancing the Landscape of Multimessenger Science in the Next Decade

Kristi Engel, Tiffany Lewis, Marco Stein Muzio +91

The last decade has brought about a profound transformation in multimessenger science. Ten years ago, facilities had been built or were under construction that would eventually dis…

astro-ph.HE2021★ 2 cited

Simulations of Cosmic Ray Ensembles originated nearby the Sun

David E. Alvarez-Castillo, Oleksandr Sushchov, Piotr Homola +30

Cosmic Ray Ensembles (CRE) are yet not observed groups of cosmic rays with a common primary interaction vertex or the same parent particle. One of the processes capable of initiati…

physics.ins-det2021

Machine learning aided noise filtration and signal classification for CREDO experiment

Łukasz Bibrzycki, David Alvarez-Castillo, Olaf Bar +10

The wealth of smartphone data collected by the Cosmic Ray Extremely Distributed Observatory(CREDO) greatly surpasses the capabilities of manual analysis. So, efficient means of rej…

cs.MS2021★ 13 cited

Manifolds.jl: An Extensible Julia Framework for Data Analysis on Manifolds

Seth D. Axen, Mateusz Baran, Ronny Bergmann +1

We present the Julia package Manifoldsjl, providing a fast and easy-to-use library of Riemannian manifolds and Lie groups. This package enables working with data defined on a Ri…