| Home > Publications database > Dataset: Evaluating approximate asymptotic distributions for fast neutrino flavor conversions in a periodic 1D box > print |
| 001 | 354861 | ||
| 005 | 20250630143506.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.8167252 |2 doi |
| 037 | _ | _ | |a GSI-2024-01294 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Xiong, Zewei |0 P:(DE-Ds200)OR10336 |b 0 |e Corresponding author |u gsi |
| 245 | _ | _ | |a Dataset: Evaluating approximate asymptotic distributions for fast neutrino flavor conversions in a periodic 1D box |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Dataset |b dataset |m dataset |0 PUB:(DE-HGF)32 |s 1736246966_3443097 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Chart or Table |0 26 |2 EndNote |
| 336 | 7 | _ | |a Dataset |2 DataCite |
| 336 | 7 | _ | |a DATA_SET |2 ORCID |
| 336 | 7 | _ | |a ResearchData |2 DINI |
| 500 | _ | _ | |a License: CC-BY 4.0 |
| 520 | _ | _ | |a 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. |
| 536 | _ | _ | |a 899 - ohne Topic (POF4-899) |0 G:(DE-HGF)POF4-899 |c POF4-899 |f POF IV |x 0 |
| 536 | _ | _ | |a KILONOVA - Probing r-process nucleosynthesis through its electromagnetic signatures (885281) |0 G:(EU-Grant)885281 |c 885281 |f ERC-2019-ADG |x 1 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 693 | _ | _ | |a theory |e no experiment theory work (theory) |1 EXP:(DE-Ds200)theory-20200803 |0 EXP:(DE-Ds200)no_experiment-20200803 |5 EXP:(DE-Ds200)no_experiment-20200803 |x 0 |
| 700 | 1 | _ | |a Wu, Meng-Ru |0 0000-0003-4960-8706 |b 1 |
| 700 | 1 | _ | |a Abbar, Sajad |0 0000-0001-8276-997X |b 2 |
| 700 | 1 | _ | |a Bhattacharyya, Soumya |0 0000-0001-5331-4597 |b 3 |
| 700 | 1 | _ | |a George, Manu |0 0000-0002-8974-5986 |b 4 |
| 700 | 1 | _ | |a Lin, Chun-Yu |0 0000-0002-7489-7418 |b 5 |
| 773 | _ | _ | |a 10.5281/ZENODO.8167252 |
| 787 | 0 | _ | |a Xiong, Zewei et.al. |d Ridge, NY : American Physical Society, 2023 |i RelatedTo |0 GSI-2023-01024 |r |t Evaluating approximate asymptotic distributions for fast neutrino flavor conversions in a periodic 1D box |
| 909 | C | O | |o oai:repository.gsi.de:354861 |p openaire |p VDB |p ec_fundedresources |
| 910 | 1 | _ | |a GSI Helmholtzzentrum für Schwerionenforschung GmbH |0 I:(DE-Ds200)20121206GSI |k GSI |b 0 |6 P:(DE-Ds200)OR10336 |
| 913 | 1 | _ | |a DE-HGF |b Programmungebundene Forschung |l ohne Programm |1 G:(DE-HGF)POF4-890 |0 G:(DE-HGF)POF4-899 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-800 |4 G:(DE-HGF)POF |v ohne Topic |x 0 |
| 914 | 1 | _ | |y 2023 |
| 920 | 1 | _ | |0 I:(DE-Ds200)KNA-20160901OR396 |k KNA |l Nukleare Astrophysik & Struktur |x 0 |
| 980 | _ | _ | |a dataset |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Ds200)KNA-20160901OR396 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|