Publications in collaboration with researchers from Stony Brook University (296)

2022

  1. AtlFast3: The Next Generation of Fast Simulation in ATLAS

    Computing and Software for Big Science, Vol. 6, Núm. 1

  2. Beam-spin asymmetry Σ for Σ− hyperon photoproduction off the neutron

    Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics, Vol. 827

  3. Erratum to: Search for single top-quark production via flavour-changing neutral currents at 8 TeV with the ATLAS detector (The European Physical Journal C, (2016), 76, 2, (55), 10.1140/epjc/s10052-016-3876-4)

    European Physical Journal C

  4. Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment

    Physical Review D, Vol. 105, Núm. 7

  5. Measurement of the c-jet mistagging efficiency in tt¯ events using pp collision data at √s=13 TeV collected with the ATLAS detector

    European Physical Journal C, Vol. 82, Núm. 1

  6. Operation and performance of the ATLAS semiconductor tracker in LHC Run 2

    Journal of Instrumentation, Vol. 17, Núm. 1

  7. QED as a many-body theory of worldlines: General formalism and infrared structure

    Physical Review D, Vol. 106, Núm. 5

  8. Science Requirements and Detector Concepts for the Electron-Ion Collider: EIC Yellow Report

    Nuclear Physics A, Vol. 1026

  9. Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC

    European Physical Journal C, Vol. 82, Núm. 7

  10. Search for Higgs boson decays into a pair of pseudoscalar particles in the bbμμ final state with the ATLAS detector in pp collisions at s =13 TeV

    Physical Review D, Vol. 105, Núm. 1

  11. Search for Spatial Correlations of Neutrinos with Ultra-high-energy Cosmic Rays

    Astrophysical Journal, Vol. 934, Núm. 2

  12. Search for flavour-changing neutral-current interactions of a top quark and a gluon in pp collisions at √s=13 TeV with the ATLAS detector

    European Physical Journal C, Vol. 82, Núm. 4

  13. Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

    European Physical Journal C, Vol. 82, Núm. 10