Neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore

Introduction

This data release accompanies an IceCube study submitted to Physical Review Letters that studies muon neutrino oscillations reconstructed with convolutional neural networks using an atmospheric neutrino dataset taken from the IceCube DeepCore detector.

For further details, refer to the IceCube publication:
“Measurement of atmospheric neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore,” IceCube Collaboration: R. Abbasi et al, arXiv

Data release

The data release, including a description and data files available for download, can be found here: dataverse.harvard.edu

For any questions about this data release, please write to analysis@icecube.wisc.edu.