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Part 1: Document Description
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Citation |
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Title: |
Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore |
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Identification Number: |
doi:10.7910/DVN/U20MMB |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2024-09-03 |
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Version: |
2 |
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Bibliographic Citation: |
IceCube Collaboration, 2024, "Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore", https://doi.org/10.7910/DVN/U20MMB, Harvard Dataverse, V2 |
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Citation |
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Title: |
Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore |
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Identification Number: |
doi:10.7910/DVN/U20MMB |
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Authoring Entity: |
IceCube Collaboration |
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Date of Production: |
2024-08-21 |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
IceCube Collaboration |
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Access Authority: |
Shiqi Yu |
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Depositor: |
Yu, Shiqi |
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Date of Deposit: |
2024-08-22 |
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Holdings Information: |
https://doi.org/10.7910/DVN/U20MMB |
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Study Scope |
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Keywords: |
Physics, Neutrino oscillation, convolutional neural network |
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Abstract: |
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. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
arXiv:2405.02163 [hep-ex] |
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Bibliographic Citation: |
arXiv:2405.02163 [hep-ex] |
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Label: |
README.txt |
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Notes: |
text/plain |
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Label: |
saved_io_delta_LLH_map.npy |
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Text: |
this npy file contains the scanned grid points, the -2ΔLLH map, and the best-fit point assuming inverted ordering of neutrino masses |
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Notes: |
application/octet-stream |
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Label: |
saved_no_delta_LLH_map.npy |
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Text: |
this npy file contains the scanned grid points, the -2ΔLLH map, and the best-fit point assuming normal ordering of neutrino masses |
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Notes: |
application/octet-stream |
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Label: |
script.py |
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Notes: |
text/x-python-script |