HEIMAIHEP-EXSep 28, 2023

Conditional normalizing flows for IceCube event reconstruction

arXiv:2309.16380v17 citationsh-index: 130
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This work addresses event reconstruction for neutrino detection in astrophysics, offering incremental improvements by applying a known machine learning method to a specific domain problem.

The paper tackles the problem of reconstructing direction and energy for electron and muon neutrino events in the IceCube Neutrino Observatory using conditional normalizing flows, which incorporate systematic uncertainties and complex ice properties, showing that the method maintains coverage and improves reconstruction in the 1 TeV to 100 TeV energy range by addressing azimuth-zenith asymmetries.

The IceCube Neutrino Observatory is a cubic-kilometer high-energy neutrino detector deployed in the Antarctic ice. Two major event classes are charged-current electron and muon neutrino interactions. In this contribution, we discuss the inference of direction and energy for these classes using conditional normalizing flows. They allow to derive a posterior distribution for each individual event based on the raw data that can include systematic uncertainties, which makes them very promising for next-generation reconstructions. For each normalizing flow we use the differential entropy and the KL-divergence to its maximum entropy approximation to interpret the results. The normalizing flows correctly incorporate complex optical properties of the Antarctic ice and their relation to the embedded detector. For showers, the differential entropy increases in regions of high photon absorption and decreases in clear ice. For muons, the differential entropy strongly correlates with the contained track length. Coverage is maintained, even for low photon counts and highly asymmetrical contour shapes. For high-photon counts, the distributions get narrower and become more symmetrical, as expected from the asymptotic theorem of Bernstein-von-Mises. For shower directional reconstruction, we find the region between 1 TeV and 100 TeV to potentially benefit the most from normalizing flows because of azimuth-zenith asymmetries which have been neglected in previous analyses by assuming symmetrical contours. Events in this energy range play a vital role in the recent discovery of the galactic plane diffuse neutrino emission.

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