R. Kopeliansky

Physics and Astronomy · Indiana University

Particle physics theoretical and experimental studies High-Energy Particle Collisions Research Particle Detector Development and Performance Quantum Chromodynamics and Particle Interactions Dark Matter and Cosmic Phenomena

Publications

458

Citations

9,305

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2012

Research summary

AI-generated

This researcher works in experimental particle physics, using the ATLAS detector at CERN's Large Hadron Collider (LHC) to study high-energy proton-proton collisions. Their work includes searching for exotic particles, such as heavy long-lived charged particles, and contributing to detector and data-acquisition technology upgrades. The research is part of large international collaborations investigating the fundamental building blocks of matter.

Experimental particle physics at the LHCSearches for exotic and long-lived particlesParticle detector development and upgradesTrigger and data acquisition systemsHigh-energy proton-proton collisions

Recorded publication activity in the available data is sparse, with only a single indexed publication in the last decade (2023), though this may reflect incomplete records for large-collaboration work.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 0.2/year recently

Recent publications

ATLAS Trigger and Data Acquisition upgrades for the High Luminosity LHC
CERN Document Server (European Organization for Nuclear Research) · 2023
Searches for heavy long - lived charged particles with the ATLAS detector in p - p collisions at s = 8 TeV
2016
Nonconventional Final-States at 13 TeV
CERN Document Server (European Organization for Nuclear Research) · 2016

Publishes in

CERN Document Server (European Organization for Nuclear Research)×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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