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NuRadioReco: A reconstruction framework for radio neutrino detectors
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While the radio detection of cosmic rays has advanced to a standard method in astroparticle physics, the radio detection of neutrinos is just about to start its full bloom. The successes of pilot-arrays have to be accompanied by the development of modern and flexible software tools to ensure rapid progress in reconstruction algorithms and data processing. We present NuRadioReco as such a modern Python-based data analysis tool. It includes a suitable data-structure, a database-implementation of a time-dependent detector, modern browser-based data visualization tools, and fully separated analysis modules. We describe the framework and examples, as well as new reconstruction algorithms to obtain the full three-dimensional electric field from distributed antennas which is needed for high-precision energy reconstruction of particle showers.
Forward citations
Cited by 3 Pith papers
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Likelihood Reconstruction for Radio Detectors of Neutrinos and Cosmic Rays
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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Neutrino vertex reconstruction with in-ice radio detectors using surface reflections and implications for the neutrino energy resolution
The time delay between direct and surface-reflected radio pulses can localize neutrino interaction vertices to 10-12% and contributes a neutrino-energy uncertainty well below the inelasticity floor, with an in-situ pr...
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Electric field reconstruction with three polarizations for the radio detection of ultra-high energy particles
A noise-weighted chi-square minimization reconstructs air-shower electric fields from two or three antenna polarizations, with vertical polarization improving peak-amplitude precision by a factor of 3 to 5 in simulations.
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