Published July 20, 2023 | Version v1
Dataset Open

Dataset: Evaluating approximate asymptotic distributions for fast neutrino flavor conversions in a periodic 1D box

  • 1. GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany
  • 2. Institute of Physics, Academia Sinica, Taipei 11529, Taiwan; Institute of Astronomy and Astrophysics, Academia Sinica, Taipei 10617, Taiwan; Physics Division, National Center for Theoretical Sciences, Taipei 10617, Taiwan
  • 3. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Föhringer Ring 6, D-80805 München, Germany
  • 4. Institute of Physics, Academia Sinica, Taipei 11529, Taiwan
  • 5. National Center for High-performance Computing, National Applied Research Laboratories, Hsinchu 30076, Taiwan

Description

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.

Files

Gaussian.txt

Files (26.4 MB)

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md5:39c67c24b800e8182ba365cce71016db
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md5:b839a48bc47697719ce70025fd23803c
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md5:51b9451595c07629f89f1276ccc8922f
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md5:c76f1553826dfb554b9342183fb0f71b
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Additional details

Funding

European Commission
KILONOVA - Probing r-process nucleosynthesis through its electromagnetic signatures 885281