Glaser C, Nelles A, Plaisier I, Welling C, Barwick SW, Garcia-Fernandez D, Gaswint G, Lahmann R, Persichilli C (2019)
Publication Type: Journal article
Publication year: 2019
Book Volume: 79
Article Number: 464
Journal Issue: 6
DOI: 10.1140/epjc/s10052-019-6971-5
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.
APA:
Glaser, C., Nelles, A., Plaisier, I., Welling, C., Barwick, S.W., Garcia-Fernandez, D.,... Persichilli, C. (2019). NuRadioReco: a reconstruction framework for radio neutrino detectors. European Physical Journal C: Particles and Fields, 79(6). https://doi.org/10.1140/epjc/s10052-019-6971-5
MLA:
Glaser, Christian, et al. "NuRadioReco: a reconstruction framework for radio neutrino detectors." European Physical Journal C: Particles and Fields 79.6 (2019).
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