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  1. Сарлавҳасиз

    Бошқа4 иқтибос
    ABI
  2. The primary cosmic-ray energy spectrum measured with the Tunka-133 array

    Н. Буднев, A. Chiavassa, О. Гресс +23

    Мақола20194 иқтибос
    ABI
  3. Сарлавҳасиз

    Бошқа4 иқтибос
    ABI
  4. Nonlinear screening effects in high energy hadronic interactions

    S. Ostapchenko

    Мақола20064 иқтибос
    ABI
  5. Generative Adversarial Networks

    Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza +5

    Препринт20144 иқтибос
    ABI
  6. Сарлавҳасиз

    Бошқа4 иқтибос
    ABI
  7. Сарлавҳасиз

    Бошқа4 иқтибос
    ABI
  8. Сарлавҳасиз

    Бошқа4 иқтибос
    ABI
  9. Freeze-in production of FIMP dark matter

    Lawrence J. Hall, Karsten Jedamzik, John March-Russell +1

    Мақола20103 иқтибос
    ABI
  10. A tidal disruption event coincident with a high-energy neutrino

    Robert Stein, Sjoert van Velzen, M. Kowalski +55

    Мақола20213 иқтибос
    ABI
  11. CMB-S4 Science Book, First Edition

    Kevork N. Abazajian

    Ҳисобот20163 иқтибос
    ABI
  12. Сарлавҳасиз

    Бошқа3 иқтибос
    ABI
  13. CORSIKA: A Monte Carlo code to simulate extensive air showers

    D. Heck, J. Knapp, J.N. Capdevielle +2

    Мақола19983 иқтибос
    ABI
  14. Implications of the cosmic ray spectrum for the mass composition at the highest energies

    D. Allard, Nicolás G. Busca, G. Decerprit +2

    Мақола20083 иқтибос
    ABI
  15. A deep learning-based reconstruction of cosmic ray-induced air showers

    M. Erdmann, Jonas Glombitza, D. Walz

    Мақола20173 иқтибос
    ABI
  16. Air-Shower Reconstruction at the Pierre Auger Observatory based on Deep Learning

    Jonas Glombitza

    Мақола20193 иқтибос
    ABI
  17. A convolutional neural network based cascade reconstruction for the IceCube Neutrino Observatory

    R. Abbasi, M. Ackermann, J. Adams +97

    Мақола20213 иқтибос
    ABI