| Home > Publications database > Dataset: Evaluating approximate asymptotic distributions for fast neutrino flavor conversions in a periodic 1D box |
| Dataset | GSI-2024-01294 |
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2023
Please use a persistent id in citations: doi:10.5281/ZENODO.8167252
Abstract: In this data package we include two txt files and two zip files. The file Gaussian.txt contains 4 columns. The first column shows the indices of the file numbers contained in the file Gaussian_100.zip. The second, third, and fourth columns list the corresponding \(I_{\bar\nu}\) , \(F_\nu\) , and \(F_{\bar\nu}\) , respectively. The file Maxent.txt contains 5 columns. The first column shows the indices of the file numbers contained in the file Maxent_100.zip while the second column lists the corresponding indices in the file Gaussian.txt. The third, fourth, and fifth columns list the corresponding \(I_{\bar\nu}\) , \(F_\nu\) , and \(F_{\bar\nu}\) , respectively. Files Gaussian_100 and Maxent_100 give the asymptotic simulated outcomes of fast neutrino flavor conversions with the initial Gaussian and maximum-entropy distributions, respectively. Each data file xxxx.dat lists four columns for \(v_z\) , \(P_{ee}(v_z)\) , \(g_\nu(v_z)\) , and \(g_{\bar\nu}(v_z)\) , respectively. We take 100 \(v_z\) grids for all data.
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Journal Article
Evaluating approximate asymptotic distributions for fast neutrino flavor conversions in a periodic 1D box
Physical review / D 108(6), 063003 (2023) [10.1103/PhysRevD.108.063003]
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