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researcher

Y. Go

4 papers hereh-index 7425.8k citations908 works total

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • nucl-ex2
  • hep-ph1
  • physics.data-an1
same name
  • Y. Go — 2 papers, h 1
  • Y. Go — 2 papers, h 29
  • Y. Go — 1 paper, h 0
  • Y. Go — 1 paper, h 0
  • Y. Go — 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

collaborators

4 papers

nucl-ex2026

Measurement of isolated prompt photon production in p+p collisions at s​=200 GeV with the sPHENIX detector

sPHENIX Collaboration, M. I. Abdulhamid, U. Acharya +217

The differential cross section of isolated prompt photon production is measured as a function of photon transverse energy (ET3​) in proton--proton (p+p) collisio…

hep-ph2026

Mapping jet substructure in heavy-ion collisions with track functions

João Barata, Yeonju Go, Daniel Pablos

We investigate the dynamics of high-energy QCD cascades in heavy-ion collisions, focusing on modifications to jets' substructure induced by the presence of a quark-gluon plasma (QG…

nucl-ex2026

Measurement of dijet transverse momentum imbalance and azimuthal acoplanarity in p+p collisions at s​=200 GeV with the sPHENIX detector

sPHENIX Collaboration, M. I. Abdulhamid, U. Acharya +326

This Letter reports on measurements of dijet transverse momentum (pT​) imbalance and azimuthal acoplanarity in proton-proton collisions at s​=200~GeV, using da…

physics.data-an2025

Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments

Yeonju Go, Dmitrii Torbunov, Timothy Rinn +6

Artificial intelligence (AI) generative models, such as generative adversarial networks (GANs), variational auto-encoders, and normalizing flows, have been widely used and studied…

◍wovepaper

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