Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore
IceCube DeepCore 9.3-year νμ disappearance with CNN reconstruction: data release
Public data release from the IceCube collaboration for the result in arXiv:2405.02163 ("Measurement of atmospheric neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore"). This public dataset contains two \DeltaLLH maps of the oscillation parameters assuming normal and inverted ordering separately. The absolute difference between the best-fit points in the two orderings has been removed from this release. The details can be found in the README.
Get it
| Location | Role | Host | Formats | Size |
|---|---|---|---|---|
| https://doi.org/10.7910/DVN/U20MMB | primary | Dataverse / institutional repository |
Metadata
| Creators | IceCube Collaboration |
|---|---|
| Publisher | Harvard Dataverse |
| Version | 2.0 |
| Published | 2024 |
| Licence | CC0-1.0 · terms |
| Access | Open |
| Experiments | IceCube |
| Detectors | IceCube DeepCore |
| Data levels | Binned observed data, Monte Carlo, Likelihood / χ² map |
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Papers
- arXiv:https://arxiv.org/abs/2405.02163 (describes)
Related
- is part of IceCube data releases
Curation
| Status | Curated (candidate: harvested, not reviewed · curated: reviewed metadata · verified: resource downloaded and checked against its paper) |
|---|---|
| Added | 2026-10-23 |
| Curator notes | • metadata from DataCite; physics tags assigned by the curator from title and abstract |