Neutrino Properties

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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

README.txt

Plain Text - 2.0 KB -

script.py

Python Source Code - 613 B -

saved_io_delta_LLH_map.npy

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

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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