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researcher

Y. Wang

4 papers hereh-index 210 citations5 works total

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

author position
  • middle author1

Across the 1 of 4 papers where every author was matched, so the position is known.

fields
  • hep-ph1
  • nucl-ex1
  • physics.atom-ph1
  • physics.ins-det1
same name
  • Y. Wang — 253 papers, h 61
  • Y. Wang — 159 papers, h 7
  • Y. Wang — 130 papers, h 5
  • Y. Wang — 108 papers, h 60
  • Y. Wang — 99 papers, h 20
  • Y. Wang — 90 papers, h 23

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-ex2025

Ultra-pure Nickel for Structural Components of Low-Radioactivity Instruments

T. J. Roosendaal, C. T. Overman, G. S. Ortega +123

The next generation of rare-event search experiments in nuclear and particle physics demand structural materials combining exceptional mechanical strength with ultra-low levels of…

physics.ins-det2025

Ultra-sensitive radon assay using an electrostatic chamber in a recirculating system

nEXO Collaboration, A. Anker, P. A. Breur +138

Rare event searches such as neutrinoless double beta decay and Weakly Interacting Massive Particle detection require ultra-low background detectors. Radon contamination is a signif…

physics.atom-ph2024

Imaging of single barium atoms in a second matrix site in solid xenon for barium tagging in a 136Xe double beta decay experiment

M. Yvaine, D. Fairbank, J. Soderstrom +134

Neutrinoless double beta decay is one of the most sensitive probes for new physics beyond the Standard Model of particle physics. One of the isotopes under investigation is $^{136}…

hep-ph2024

Supernova electron-neutrino interactions with xenon in the nEXO detector

nEXO Collaboration, S. Hedges, S. Al Kharusi +144

Electron-neutrino charged-current interactions with xenon nuclei were modeled in the nEXO neutrinoless double-β decay detector (~5 metric ton, 90% 136Xe, 10% 134Xe)…

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