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Showing 1 to 4 of 4 for “"Hyper- Kamiokande"”.

  1. Algorithmic and Machine Learning Approaches in Physics: From Hyper- Kamiokande to Cosmology

    El objetivo principal de esta tesis doctoral es desarrollar y aplicar metodologías computacionales avanzadas para abordar desafíos clave en la física de neutrinos y en la cosmología. Esta investigación se fundamenta en la premisa de que los neutrinos, a pesar de ser partículas extremadamente …

    oviedo Repository record for Algorithmic and Machine Learning Approaches in Physics: From Hyper- Kamiokande to Cosmology (opens in a new tab)

  2. Constraints on New Physics from Various Neutrino Experiments

    … in which the Fermilab NUMI beam is aimed at the Hyper-Kamiokande detector in Japan. In addition to the sensitivity to neutrissimos, we analyze the capabilities of these experiments to constraint the coupling constants and masses of new particles in various models of new physics suggested in the …

    vt Repository record for Constraints on New Physics from Various Neutrino Experiments (opens in a new tab)

  3. Core-collapse supernovae: neutrino-dark matter phenomenology and probes of internal physics

    … of core-collapse supernovae. With a two-tank Hyper-Kamiokande, this allows for ~1 neutrino detection every 10 years with a confidence level of ~2.6 sigma, resulting from low nearby core-collapse rates and large background rates in the energy range of interest. The second probe of internal …

    vt Repository record for Core-collapse supernovae: neutrino-dark matter phenomenology and probes of internal physics (opens in a new tab)

  4. Using Cutting Edge Software and Techniques to Model and Measure Experimental Neutrino Data

    … Next-generation experiments such as DUNE and Hyper-Kamiokande are going to have unprecedented numbers of neutrino interactions, so statistical uncertainties will be small and systematic uncertainties are more important than ever.

    cambridge Repository record for Using Cutting Edge Software and Techniques to Model and Measure Experimental Neutrino Data (opens in a new tab)