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10 results for “supernova neutrinos”
Insights into non-axisymmetric instabilities in three-dimensional rotating supernova models with neutrino and gravitational-wave signatures
<p>The data of the gravitational wavefroms of core-collapse supernovae, which are used in Takiwaki, Kotake, and Foglizzo, (2021), Monthly Notices of the Royal Astronomical Society, Volume 508, Issue 1, pp.966-985</p>
Insights into non-axisymmetric instabilities in three-dimensional rotating supernova models with neutrino and gravitational-wave signatures
<p>Those are movies of numerical supernova models, which appear in Takiwaki, Kotake, and Foglizzo, (2021), Monthly Notices of the Royal Astronomical Society, Volume 508, Issue 1, pp.966-985</p>
Emission line models for the lowest mass core-collapse supernovae - I. Case study of a 9 M⊙ one-dimensional neutrino-driven explosion
<p>Model spectra of the 9 Msun iron-core model, and the pure H toy model, 200-600d. Distance 10 Mpc assumed.</p>
Diffuse Supernova Neutrino Background search at Super-Kamiokande (arXiv:2109.11174, PRD 104, 122002)
<p>This is the data release for the PRD 104, 122002 article about the Diffuse Supernova Background search at Super-Kamiokande. The figures which can be reproduced with this release are listed in the README of the data_release folder.</p> <p>The spectral_analysis_npy.SKMC.tar.gz folder contains the files needed to reproduce the spectral analysis in section VII of the paper. To incorporate it to the spectral analysis code please follow the instructions given in the README of <a href="https://github.com/soso128/spectral_analysis">the spectral analysis Github folder</a>.</p>
A Detailed Comparison of Multi-Dimensional Boltzmann Neutrino Transport Methods in Core-Collapse Supernovae
<p>This dataset contains results of 1D and 2D static neutrino transport calculations using discrete ordinates and Monte Carlo methods, as described in the 2017 paper by the same name. The results include the neutrino momentum space grids used for the simulations, the full spectral and angular distribution functions, energy-dependent angular moments of the distribution functions, and neutrino heating rates. The HDF5 dataset name corresponds to the simulation of the same name in the 2017 paper, Table 1. Also included are the fluid backgrounds and opacities. See the readme for a description of all quantities in the datasets.</p> <p>There are also two simulation setups including all initial conditions and parameters for 1D and 2D Monte Carlo calculations using the open-source code Sedonu. This accompanies Sedonu commit 8bd509b27aa0461df26b194df65b4526d6c153fe.</p>
Supernova Neutrino Light Curves from Proto-Neutron Star Cooling with Various Nuclear Equation of State
<p>We present the model spectra of neutrinos emitted from proto-neutron star (PNS) cooling used in Nakazato et al., <a href="https://doi.org/10.3847/1538-4357/ac3ae2">Astrophys. J. <strong>925</strong> (2022) 98</a>, <a href="https://arxiv.org/abs/2108.03009">arXiv:2108.03009 [astro-ph.HE]</a>. So as to obtain the time evolution of neutrino spectra, PNS cooling simulations are performed with use of four nuclear equation of state (EOS) models and eight PNS cooling models with different initial conditions are involved for each EOS. The format of the spectral data is the same with that of <a href="http://asphwww.ph.noda.tus.ac.jp/snn/">Supernova Neutrino Database</a>. For the details, see readme.pdf</p>
Three-dimensional simulations of rapidly rotating core-collapse supernovae: finding a neutrino-powered explosion aided by non-axisymmetric flows
<p>Those are movies of numerical supernova models, which appear in Takiwaki, Kotake, and Suwa 2016 Monthly Notices of the Royal Astronomical Society: Letters, Volume 461, Issue 1, p.L112-L116.</p> <p> </p> <p> </p>
Data for "Light Curves of Type IIP Supernovae from Neutrino-driven Explosions of Red Supergiants Obtained by a Semi-analytic Approach"
<p>Data in the form of Table 1 in the accompanying paper "Light Curves of Type IIP Supernovae from Neutrino-driven Explosions of Red Supergiants Obtained by a Semi-analytic Approach" at arXiv.org</p> <p>See the README file on the usage</p>
Measuring the distance and mass of galactic core-collapse supernovae using neutrinos
<p>This is the dataset and analysis scripts for the manuscript "Measuring the distance and mass of galactic core-collapse supernovae using neutrinos" (submitted to PRL, arXiv link to follow). </p>
Long time supernova neutrino simulations
<p>Long time neutrino simulation data up to 20 seconds with no neutrino oscillation</p> <p>File names are formatted as below:</p> <p>model.A.bary.B.BB_grav.C.CC.dat</p> <p>A is a model number and B.BB is a baryonic mass and C.CC is a gravitational mass.</p> <p>Neutron star masses are measured at 20 seconds.</p> <p>Readme.txt<br> explanation of each file</p> <p>model1.bary.1.27_grav.1.36.dat<br> <br> includes neutrino fluxes and luminosities from z9.6 in the Nakazato format (see below and http://asphwww.ph.noda.tus.ac.jp/snn/guide.pdf).<br> <br> See<br> https://academic.oup.com/ptep/article/2021/2/023E01/6045986<br> for more details on the z9.6 supernova explosion.</p> <p><br> model2.bary.1.41_grav.1.31.dat<br> <br> includes neutrino spectra from a supernova which leave a neutron star of 1.41 Msun in baryonic mass and 1.31 in gravitational mass.</p> <p><br> model3.bary.1.22_grav.1.29.dat</p> <p> includes neutrino spectra from a supernova which leave a neutron star of 1.22 Msun in baryonic mass and 1.29 in gravititonal mass.</p> <p><br> sn_spectra.py<br> a python script which interprets the nakazato format.<br> If you run the script from command line, the script outputs fluxes and luminosities and average energies for each flavor.</p> <p> </p> <p><br> Nakazato format</p> <p> The Nakazato format contains time evolutions of neutrino spectra and is a suitable format for estimation of supernova neutrino signals on earth.</p> <p>"T0<br> E0 E1 dN_nue(T0)/dE1 dN_anue(T0)/dE1 dN_nux(T0)/dE1 dL_nue(T0)/dE1 dL_anue(T0)/dE1 dL_nux(T0)/dE1 <br> E1 E2 dN_nue(T0)/dE2 dN_anue(T0)/dE1 dN_nux(T0)/dE2 dL_nue(T0)/dE2 dL_anue(T0)/dE2 dL_nux(T0)/dE2 <br> .<br> .<br> .<br> E19 E20 dN_nue(T0)/dE20 dN_anue(T0)/dE20 dN_nux(T0)/dE20 dL_nue(T0)/dE20 dL_anue(T0)/dE20 dL_nux(T0)/dE20</p> <p> T1<br> E0 E1 dN_nue(T0)/dE1 dN_anue(T1)/dE1 dN_nux(T1)/dE1 dL_nue(T1)/dE1 dL_anue(T1)/dE1 dL_nux(T1)/dE1<br> .<br> .<br> .<br> ",where Tn [s] is a time measured from the bounce and Ek [MeV] is a neutrino energy.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.