In 2013, IceCube reported its first measurement of the neutrino oscillation parameters. This was the first time that neutrino oscillations were measured with precision at energies above 10 GeV. A year later, the collaboration presented a second analysis with three years of data that improved the precision by a factor of ten. The IceCube Collaboration has now published in Physical Review Letters  and Physical Review D  new measurements of neutrino oscillation using atmospheric neutrinos from the full sky with reconstructed energies between 5.6 and 56 GeV. Two separate event selections and analyses (A & B) were used and made available here.
Suggested citation for this dataset:
IceCube Collaboration (2019): Three-year high-statistics neutrino oscillation samples. DOI:10.21234/ac23-ra43
Click here to download (.zip, 91MB)
Included in the download are the following files:
The archive file contains two dataset samples. These two samples are not independent, and analyses must not combine the samples or results obtained thereof in any way.
Sample A is used for the primary nutau appearance result , and is used in the first IceCube neutrino mass ordering analysis .
Sample B is an updated version of what is used for the primary IceCube muon neutrino disappearance measurement , with chi2 maps made available here. Sample B also serves as the confirmatory analysis in  and is used in .
Both samples are described in detail in reference  and the provided download contains a readme.txt for both samples which contains a more detailed overview of each data file.
 “Measurement of Atmospheric Neutrino Oscillations at 6-56 GeV with IceCube DeepCore,” IceCube Collaboration: M. G. Aartsen et al., Physical Review Letters 120, 071801 (2018). DOI: 10.1103/PhysRevLett.120.071801
 “Measurement of Atmospheric Tau Neutrino Appearance with IceCube DeepCore,” IceCube Collaboration: M. G. Aartsen et al., Phys. Rev. D99.3(2019), p. 032007. DOI: 10.1103/PhysRevD.99.032007
 “Probing the Neutrino Mass Ordering with Atmospheric Neutrinos from Three Years of IceCube DeepCore Data,” IceCube Collaboration: M.G. Aartsen et al., Feb 20, 2019, preprint: arXiv:1902.07771