2019
DOI: 10.1088/1475-7516/2019/11/030
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Neutrino vertex reconstruction with in-ice radio detectors using surface reflections and implications for the neutrino energy resolution

Abstract: Ultra high energy neutrinos (E ν >10 16.5 eV) are efficiently measured via radio signals following a neutrino interaction in ice. An antenna placed O(15 m) below the ice surface will measure two signals for the vast majority of events (90% at E ν =10 18 eV): a direct pulse and a second delayed pulse from a reflection off the ice surface. This allows for a unique identification of neutrinos against backgrounds arriving from above. Furthermore, the time delay between the direct and reflected signal (D'n'R) corre… Show more

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Cited by 43 publications
(94 citation statements)
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“…5 (bottom) where the uncertainty of the reconstructed shower energy determines how each bin should be smeared to account for experimental uncertainties and translate the plot from true shower energy to measured shower energy. We also note that for neutrinos, the shower energy is relatively close to the neutrino energy [62], which allows for a quick first-order estimation of the background as the function of neutrino energy and energy resolution.…”
Section: Consequences For Neutrino Detectionmentioning
confidence: 84%
“…5 (bottom) where the uncertainty of the reconstructed shower energy determines how each bin should be smeared to account for experimental uncertainties and translate the plot from true shower energy to measured shower energy. We also note that for neutrinos, the shower energy is relatively close to the neutrino energy [62], which allows for a quick first-order estimation of the background as the function of neutrino energy and energy resolution.…”
Section: Consequences For Neutrino Detectionmentioning
confidence: 84%
“…This aids the reconstruction of the viewing angle by mapping out the Cherenkov cone. The time difference between these DnR pulses is also an estimator of the distance to the neutrino vertex and enables resolving the shower energy with an accuracy well below the intrinsic fluctuations from the unknown inelasticity of the interaction which amounts to a factor of two [24].…”
Section: Pos(icrc2021)1183mentioning
confidence: 99%
“…Therefore, we will train the deep neural network to determine the energy of the hadronic shower which has a deterministic relation to the observed signal. The amount of energy transferred from the neutrino into the hadronic shower is a stochastic process and can be estimated from theory [6]. The stochastic process also introduces a irreducible uncertainty on the conversion from hadronic shower energy back to the neutrino energy which amounts to a factor of two.…”
Section: Neutrino Energy Reconstructionmentioning
confidence: 99%
“…At this depth, the antenna will observe two signals, one from a direct path to the antenna, and another delayed signal from a reflection off the surface. The time difference between these two signals provides information about the distance to the neutrino interaction which is important to estimate the neutrino energy [6].…”
Section: Introductionmentioning
confidence: 99%