Dataset GSI-2024-01294

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

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2023

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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.


Note: License: CC-BY 4.0

Contributing Institute(s):
  1. Nukleare Astrophysik & Struktur (KNA)
Research Program(s):
  1. 899 - ohne Topic (POF4-899) (POF4-899)
  2. KILONOVA - Probing r-process nucleosynthesis through its electromagnetic signatures (885281) (885281)
Experiment(s):
  1. no experiment theory work (theory)

Appears in the scientific report 2023
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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;
Evaluating approximate asymptotic distributions for fast neutrino flavor conversions in a periodic 1D box
Physical review / D 108(6), 063003 () [10.1103/PhysRevD.108.063003] BibTeX | EndNote: XML, Text | RIS


 Record created 2024-12-21, last modified 2025-06-30