<?xml version="1.0" encoding="UTF-8"?>
<xml>
<records>
<record>
  <ref-type name="Chart or Table">38</ref-type>
  <contributors>
    <authors>
      <author>Xiong, Zewei</author>
      <author>Wu, Meng-Ru</author>
      <author>Abbar, Sajad</author>
      <author>Bhattacharyya, Soumya</author>
      <author>George, Manu</author>
      <author>Lin, Chun-Yu</author>
    </authors>
    <subsidiary-authors>
      <author>KNA</author>
    </subsidiary-authors>
  </contributors>
  <titles>
    <title>Dataset: Evaluating approximate asymptotic distributions for fast neutrino flavor conversions in a periodic 1D box</title>
  </titles>
  <periodical/>
  <electronic-resource-num>10.5281/ZENODO.8167252</electronic-resource-num>
  <language>English</language>
  <pages/>
  <number/>
  <volume/>
  <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.</abstract>
  <notes>
    <note>License: CC-BY 4.0 ; </note>
  </notes>
  <label>PUB:(DE-HGF)32, ; 26, ; </label>
  <keywords/>
  <accession-num/>
  <work-type>Dataset</work-type>
  <dates>
    <pub-dates>
      <year>2023</year>
    </pub-dates>
  </dates>
  <accession-num>GSI-2024-01294</accession-num>
  <year>2023</year>
  <urls>
    <related-urls>
      <url>https://repository.gsi.de/record/354861</url>
      <url>https://doi.org/10.5281/ZENODO.8167252</url>
    </related-urls>
  </urls>
</record>

</records>
</xml>