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@MISC{Xiong:354861,
author = {Xiong, Zewei and Wu, Meng-Ru and Abbar, Sajad and
Bhattacharyya, Soumya and George, Manu and Lin, Chun-Yu},
title = {{D}ataset: {E}valuating approximate asymptotic
distributions for fast neutrino flavor conversions in a
periodic 1{D} box},
reportid = {GSI-2024-01294},
year = {2023},
note = {License: CC-BY 4.0},
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.},
cin = {KNA},
cid = {I:(DE-Ds200)KNA-20160901OR396},
pnm = {899 - ohne Topic (POF4-899) / KILONOVA - Probing r-process
nucleosynthesis through its electromagnetic signatures
(885281)},
pid = {G:(DE-HGF)POF4-899 / G:(EU-Grant)885281},
experiment = {$EXP:(DE-Ds200)no_experiment-20200803$},
typ = {PUB:(DE-HGF)32},
doi = {10.5281/ZENODO.8167252},
url = {https://repository.gsi.de/record/354861},
}