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researcher

I. Kharuk

10 papers hereh-index 8247 citations47 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 10 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE5
  • astro-ph.IM3
  • astro-ph.GA1
  • physics.ao-ph1
same name
  • I. Kharuk — 13 papers, h 5
  • I. Kharuk — 4 papers, h 2
  • I. Kharuk — 2 papers, h 1
  • I. Kharuk — 2 papers, h 2
  • I. Kharuk — 1 paper
  • I. Kharuk — 1 paper, h 1

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

activity
20212026
most citedAn extremely energetic cosmic ray observed by a surface detector array

78 citations · 120 across the 10 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

3 papers · 1 filter

astro-ph.IM2026

The performance of the TA×4 surface detector array: 4.3 years of the first-half expansion

Telescope Array Collaboration, R. U. Abbasi, T. Abu-Zayyad +126

The Telescope Array (TA) experiment aims to reveal the origin of ultra-high-energy cosmic rays (UHECRs) by observing air showers using surface detectors (SDs), which spread over an…

astro-ph.IM2022

Rejecting noise in Baikal-GVD data with neural networks

I. Kharuk, G. Rubtsov, G. Safronov

Baikal-GVD is a large (∼1 km3) underwater neutrino telescope installed in the fresh waters of Lake Baikal. The deep lake water environment is pervaded by background light,…

astro-ph.IM2021★ 5 cited

Deep learning method for identifying mass composition of ultra-high-energy cosmic rays

O. Kalashev, I. Kharuk, M. Kuznetsov +4

We introduce a novel method for identifying the mass composition of ultra-high-energy cosmic rays using deep learning. The key idea of the method is to use a chain of two neural ne…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.