Neutrino Properties

IceCube data release from analyses studying neutrino properties; neutrino oscillations, neutrino cross sections, etc.

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1 to 5 of 5 Results

Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore Sep 4, 2024 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 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 separ...
README.txt Sep 4, 2024 - Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore Plain Text - 2.0 KB - MD5: 62880680f4f3e2da4f9d61504335d818
script.py Sep 4, 2024 - Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore Python Source Code - 613 B - MD5: c2347a65f3921794c9e8bd8f728ef7bb
saved_io_delta_LLH_map.npy Sep 3, 2024 - Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore Unknown - 28.9 KB - MD5: 373016b52c3102e42cbd02d8a3b0e339 this npy file contains the scanned grid points, the -2ΔLLH map, and the best-fit point assuming inverted ordering of neutrino masses
saved_no_delta_LLH_map.npy Sep 3, 2024 - Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore Unknown - 27.0 KB - MD5: c0c586b8ebc873ab97916248164ca42c this npy file contains the scanned grid points, the -2ΔLLH map, and the best-fit point assuming normal ordering of neutrino masses

Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore

Sep 4, 2024

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

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 separ...

README.txt

Sep 4, 2024 - Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore

Plain Text - 2.0 KB -

script.py

Sep 4, 2024 - Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore

Python Source Code - 613 B -

saved_io_delta_LLH_map.npy

Sep 3, 2024 - Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore

Unknown - 28.9 KB -

this npy file contains the scanned grid points, the -2ΔLLH map, and the best-fit point assuming inverted ordering of neutrino masses

saved_no_delta_LLH_map.npy

Sep 3, 2024 - Data release for neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore

Unknown - 27.0 KB -

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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