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M. Kuznetsov

2 papers hereh-index 229 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE2
same name
  • M. Kuznetsov — 18 papers, h 17
  • M. Kuznetsov — 5 papers, h 5
  • M. Kuznetsov — 3 papers
  • M. Kuznetsov — 3 papers, h 1
  • M. Kuznetsov — 2 papers
  • M. Kuznetsov — 1 paper, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing astro-ph.HEShow all

4 papers · 1 filter

astro-ph.HE2026

Cosmic-ray anisotropy: sensitivity of methods and implications for KASCADE data

M. Yu. Kuznetsov, N. A. Petrov, E. M. Shinkevich

We study the problem of measuring the anisotropy of high-energy cosmic rays across all angular scales. The limited field of view and non-uniform exposure of ground-based cosmic-ray…

astro-ph.HE2025

Ultra-high energy event KM3-230213A as a cosmogenic neutrino in light of minimal UHECR flux models

M. Yu. Kuznetsov, N. A. Petrov, Y. S. Savchenko

Recently, the KM3NeT experiment reported the detection of a neutrino with exceptionally high energy E = 220 PeV, whose origin remains unclear. The corresponding value of the neutri…

astro-ph.HE2023

Energy spectra of elemental groups of cosmic rays with the KASCADE experiment data and machine learning

M. Yu. Kuznetsov, N. A. Petrov, I. A. Plokhikh +1

We report the reconstruction of the mass component spectra of cosmic rays (protons, helium, carbon, silicon and iron) and their mean mass composition, at energies from 1.4 to 100 P…

astro-ph.HE2023

Methods of machine learning for the analysis of cosmic rays mass composition with the KASCADE experiment data

M. Yu. Kuznetsov, N. A. Petrov, I. A. Plokhikh +1

We study the problem of reconstruction of high-energy cosmic rays mass composition from the experimental data of extensive air showers. We develop several machine learning methods…

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