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The flavor composition of ultra-high-energy cosmic neutrinos: measurement forecasts for in-ice radio-based EeV neutrino telescopes

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arxiv 2402.02432 v2 pith:VZHZGMRU submitted 2024-02-04 astro-ph.HE

classification astro-ph.HE
keywords neutrinoflavorin-icechannelcompositionforecastsicecube-gen2identifies
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

In-ice radio-detection is a promising technique to discover and characterize ultra-high-energy (UHE) neutrinos, with energies above 100 PeV, adopted by present - ARA, ARIANNA, and RNO-G - and planned - IceCube-Gen2. So far, their ability to measure neutrino flavor has remained unexplored. We show and quantify how the neutrino flavor can be measured with in-ice radio detectors using two complementary detection channels. The first channel, sensitive to $\nu_e$, identifies them via their charged-current interactions, whose radio emission is elongated in time due to the Landau-Pomeranchuk-Migdal effect. The second channel, sensitive to $\nu_\mu$ and $\nu_\tau$, identifies events made up of multiple showers generated by the muons and taus they generate. We show this in state-of-the-art forecasts geared at IceCube-Gen2, for representative choices of the UHE neutrino flux. This newfound sensitivity could allow us to infer the UHE neutrino flavor composition at their sources - and thus the neutrino production mechanism - and to probe UHE neutrino physics.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Probing Neutrino Flavor Composition with the Glashow Resonance at Tau Air-Shower Neutrino Telescopes

    hep-ph 2026-07 conditional novelty 6.0 of 10

    Tau air-shower telescopes can potentially measure the PeV \bar{\nu}_e/(\nu_\tau+\bar{\nu}_\tau) ratio via the Glashow resonance, but standalone sensitivity only clearly separates \bar{\nu}_e-rich sources from standard...

  2. Likelihood Reconstruction for Radio Detectors of Neutrinos and Cosmic Rays

    astro-ph.IM 2025-10 conditional novelty 6.0 of 10

    A multivariate-normal likelihood with a circulant noise covariance, derived from the noise spectrum, improves radio-detector reconstruction of neutrino and cosmic-ray parameters and yields correctly covered event-by-e...

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