# NuRadioReco: A reconstruction framework for radio neutrino detectors

## TL;DR

NuRadioReco is a modern Python framework designed for radio neutrino detection, providing flexible data analysis, visualization, and advanced reconstruction algorithms to improve energy estimation of particle showers.

## Contribution

It introduces a comprehensive, modular software toolkit for radio neutrino detection, including new algorithms for 3D electric field reconstruction.

## Key findings

- Implementation of a flexible data structure and detector model
- Development of new algorithms for 3D electric field reconstruction
- Demonstration of the framework's capabilities with example analyses

## Abstract

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.