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J. Nys

37 papers hereh-index 161.1k citations48 works total

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

author position
  • first author5
  • middle author18
  • last author6

Across the 29 of 37 papers where every author was matched, so the position is known.

fields
  • hep-ph12
  • quant-ph8
  • cond-mat.str-el6
  • nucl-th6
  • cond-mat.stat-mech2
  • cond-mat.quant-gas1
same name
  • J. Nys — 5 papers, h 22
  • J. Nys — 5 papers, h 4
  • J. Nys — 1 paper, h 2

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
20142025
most citedNetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

147 citations · 988 across the 37 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

hep-ph2016★ 82 cited

Amplitude analysis and the nature of the Zc(3900)

JPAC Collaboration, A. Pilloni, C. Fernandez-Ramirez +5

The microscopic nature of the XYZ states remains an unsettled topic. We show how a thorough amplitude analysis of the data can help constraining models of these states. Specificall…

nucl-th2016★ 40 cited

Electroweak single-pion production off the nucleon: from threshold to high invariant masses

R. González-Jiménez, N. Jachowicz, K. Niewczas +4

[Background] Neutrino-induced single-pion production (SPP) provides an important contribution to neutrino-nucleus interactions, ranging from intermediate to high energies. There ex…

hep-ph2016★ 44 cited

Finite-Energy Sum Rules in Eta Photoproduction off the Nucleon

JPAC Collaboration, J. Nys, V. Mathieu +8

The reaction γN→ηN is studied in the high-energy regime (with photon lab energies Eγlab​>4 GeV) using information from the resonance region through the use of…

hep-ph2016★ 12 cited

Model discrimination in pseudoscalar-meson photoproduction

J. Nys, J. Ryckebusch, D. G. Ireland +1

To learn about a physical system of interest, experimental results must be able to discriminate among models. We introduce a geometrical measure to quantify the distance between mo…

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