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71 results for “neutrino”
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>
Supplementary Data: A global fit of non-relativistic effective dark matter operators including solar neutrinos
<p>The files within contain the data from <a href="https://gambitbsm.org/">GAMBIT</a> scans and the scripts to recreate the plots in Avis Kozar et al. "A global fit of non-relativistic effective dark matter operators including solar neutrinos" using <a href="https://www.python.org/">Python</a> and <a href="https://github.com/GambitBSM/pippi">pippi</a>.</p>
Neutrino beam flux prediction 2016
<p>This data release is superseded by the<a href="https://zenodo.org/record/5734267#.YaYEsFOnxsE"> </a><a href="https://zenodo.org/record/5734307#.YaYFXlOnxsE">flux release in 2020</a>.<br> <br> The files in the following archive file contain the neutrino and antineutrino beam flux predictions for the T2K ND280 (near) and Super-Kamiokande (far) detectors. It supersedes the <a href="https://zenodo.org/record/5734212#.YaSq8lOnxsE">previous flux release in 2013</a>.<br> The original description of the flux predictions is published in <a href="https://journals.aps.org/prd/abstract/10.1103/PhysRevD.87.012001">Phys. Rev. D.87.012001</a>. Since the publication, the flux prediction has been updated with new thin target data from the NA61/SHINE experiment, and flux predictions for antineutrino enhanced beam operation have been produced. The NA61/SHINE thin target measurements of π<sup>±</sup>, K<sup>±</sup>, K<sub>S</sub><sup>0</sup>, Λ and p production are published in <a href="https://link.springer.com/article/10.1140/epjc/s10052-016-3898-y">Eur. Phys. J. C (2016) 76:84</a>. The updated flux prediction is described in <a href="http://journals.aps.org/prd/abstract/10.1103/PhysRevD.91.072010">Phys. Rev. D 91, 072010 (2015)</a>.</p> <p>The provided flux predictions include no neutrino oscillations.</p> <p>This tar file contains the flux predictions as well as a README.pdf file with detailed information on the included files.</p>
Neutrino beam flux prediction 2020
<p>The files in the following archive file contain the neutrino and antineutrino beam flux predictions for the T2K ND280 (near) and Super-Kamiokande (far) detectors. It supersedes the <a href="../record/5734267#.YaStE1OnxsE">previous flux release in 2016</a>.</p> <p>Since the previous flux release, the flux prediction has been updated to use 2009 replica target data from the NA61/SHINE experiment to tune interactions inside of the neutrino production target. The NA61/SHINE 2009 replica target measurements of π<sup>±</sup> production are published in <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Flink.springer.com%2Farticle%2F10.1140%2Fepjc%2Fs10052-016-4440-y&data=04%7C01%7Cteppei.katori%40kcl.ac.uk%7C392cb1750b714c1456d008d9b31a5206%7C8370cf1416f34c16b83c724071654356%7C0%7C0%7C637737749231779618%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=2aY4w0xu4PnkkAuL55OCLMd5PQUmsPtXfz9C61no2ns%3D&reserved=0">Eur. Phys. J. C (2016) 76: 617</a>. The flux prediction released here corresponds to that used in the T2K 2020 oscillation physics result paper (to be submitted to Eur. Phys. J. C).</p> <p>The provided flux predictions include no neutrino oscillations.</p> <p>A matrix which encodes the covariance between different energy bins of the fluxes at the near and far detectors for both horn operation modes is also provided in this release.</p> <p>The provided tar* file contains the flux predictions, covariance matrix, and a README.pdf file with detailed information on the included files.</p> <p>*Note, although the file name ends .gz, this is a .tar.gz file and should be unpacked as such (tar -xvf).</p>
Oscillation results from Neutrino 2022
<p>This archive contains the electronic version (ROOT format) of the results of the measurements of oscillation parameters presented by T2K at Neutrino 2022 (Updated run 1-10 results with the additional multi-ring sample at SK).</p> <p>Both Bayesian and frequentist results are provided for the different oscillation parameters, with 2D confidence/credible regions and 1D DeltaChi2/posterior probability distributions. The Bayesian and frequentist results are separated into two different files, and additionally a tag in the TGraph and histogram names allow differentiating them.</p> <p>In addition to the results in each mass hierarchy hypothesis, the Bayesian file also includes the results marginalized over the mass hierarchy, denoted by a tag "both" in the object names. Please note that Bayesian and frequentist results use different conventions for the mass splitting in the inverted hierarchy: the Bayesian results are in terms of <span class="math-tex">\(\Delta m^2_{32}\)</span> for both normal (NH) and inverted (IH) hierarchies, whereas the frequentist results are plotted versus <span class="math-tex">\(\Delta m^2_{32}\)</span> for the NH, and <span class="math-tex">\(\left| \Delta m^2_{31} \right|\)</span> for the IH. When used, the constraint on theta13 from reactor experiment results corresponds to the value in the PDG 2020 summary table: <span class="math-tex">\(\sin^2(\theta_{13})=(2.20\pm0.07)\times10^{-2}\)</span></p> <p><strong>Objects inside the ROOT files</strong><br> ROOT objects contained inside the file are named first with an identifier of which parameter(s) are being shown, followed by a tag "wRC" or "woRC" - indicating whether or not the PDG constraint on theta13 has been applied, followed by another tag "NH", "IH" or "both" - indicating whether the result is respectively for the normal hierarchy, inverted hierarchy or marginalized over the mass hierarchy (this last case is only included in the Bayesian result file).</p> <p><strong>2D regions</strong><br> Objects of the form gr2D_varX_varY_<wRC,woRC>_<NH,IH,both>_<conf,cred><68,90,955,997>(_N) are TGraphs corresponding to the 2D confidence ("conf") or credible ("cred") regions for the 2 variables (varX, varY). N is the iterator for different TGraphs corresponding to the same region. 68, 90, 955, 997 correspond respectively to 1-sigma, 90%, 2-sigma, and 3-sigma regions.</p> <p>The best-fit markers are also provided for the 2D results:<br> gr2D_varX_varY_<wRC,woRC>_<NH,IH,both>_bestfit</p> <p>The best fit markers and contour lines are computed for each MH *separately*, i.e. assuming DeltaChi2 is 0 at the minimum or that the total posterior probability integrates to 1 in the mass hierarchy considered.</p> <p><strong>1D properties</strong><br> Objects of the form h1D_var<chi2,posterior>_<wRC,woRC>_<NH,IH> are TH1D of the DeltaChi2 ("chi2") or posterior probability ("posterior") for oscillation parameter "var".</p> <p>The Bayesian and frequentist results use different conventions with respect to the mass hierarchy:<br> - 1D DeltaChi2 plots use a global minimum over both hierarchies<br> - each 1D posterior probability plot integrates to unity *individually*</p> <p> </p>
Data release: Atmospheric neutrino oscillation analysis with neutron tagging and an expanded fiducial volume in Super-Kamiokande I-V
<p><strong>Super-Kamiokande Atmospheric Neutrino Oscillation Analysis Data Release 2023</strong></p> <p>This data release accompanies the publication "Atmospheric neutrino oscillation analysis with neutron tagging and an expanded fiducial volume in Super-Kamiokande I-V." The information provided is divided into two sub-directories:</p> <ul> <li>bins: Contains data & MC counts in each analysis bin for different oscillation configurations</li> <li>chi2: Contains listings of chisquare values at each point in the oscillation parameter space scanned for the analyses described in the accompanying publication</li> </ul> <p><strong>Bin Information</strong></p> <p>This section describes the provided bin information. The `bin` subdirectory includes a ROOT file which contains binning information, data, and MC counts and MC summary statistics in each bin in the form of several ROOT trees. The contents of the ROOT file are also provided as text files within the same subdirectory.</p> <p>There are 930 bins used for atmospheric neutrino data in the analysis. Each ROOT tree and text file contains sequential listing of information for each of the 930 bins, i.e. the first entry or line of each tree and text file corresponds to the first bin, and so on.</p> <p><em>DISCLAIMER</em>: The data and MC counts and summary statistics provided are not expected to be sufficient to identically reproduce the publication fit results. The publication fit results rely on response functions of the bins to variations in the systematic uncertainty parameters which are not included in this release. Additionally, the MC oscillation probabilities used in the publication were computed individually for each MC event and are not possible to reproduce exactly using the binned event information provided with this release.</p> <p><strong>Bin Definitions</strong></p> <p>The ROOT file contains a `BinInfoTree` which lists the sample name associated with each bin, and the upper and lower bin edges of the 2D binning scheme used to bin atmospheric neutrino events. The sample names describe the selections used to place events in each bin, e.g. "subgev" and "multigev" for sub-GeV and multi-GeV events, respectively. Since data from the different SK phases are divided into different analysis samples, each sample name also lists the range of SK phases included in the same, e.g. sk1-5 for SK I, SK II, SK III, SK IV, and SK V, or sk4-5 for SK IV and SK V only. The contents of this tree are also listed in the `bin/sk_2023_BinInfo.txt` file.</p> <p><strong>Data Counts</strong></p> <p>Observed atmospheric neutrino data counts in each bin are listed in the `DataTree` within the ROOT file. The contents of this tree are also listed in the `bin/sk_2023_Data.txt` file.</p> <p><strong>MC Counts and Summary Statistics</strong></p> <p>MC counts and summary statistics of the true MC energies and directions are provided for each true neutrino type in the ROOT trees named `MC*Tree`. The information is provided for three oscillation configurations: The best-fit oscillation parameters in the normal ordering (NO), the best-fit oscillation parameters in the inverted ordering (IO), and without oscillations (NoOsc).</p> <p>The following summary statistics are provided for both the true neutrino energies and directions (cosine zenith angle) of MC events in each bin: Average, RMS, 2.3%, 15.9%, 50%, 84.1%, and 97.7% quantiles. The quantiles approximately correspond to -2, -1, 0, +1, and +2 sigma deviations from the median.</p> <p>The ROOT tree MC information is duplicated in the text files found under the `bin/[normal,inverted,unoscillated]` subdirectories, corresponding to the three oscillation scenarios.</p> <p><strong>Chisquare Information</strong></p> <p>This section describes the provided chisquare information. We provide listings of the relative chisquare values with respect to the global best-fit point in the normal ordering. The listings are provided as text files: The first columns correspond to the oscillation parameters at each grid point, while the final column lists the chisquare value. Chisquare values are provided for both the theta13-free and theta13-constrained analyses.</p> <p>ROOT files containing the 1D delta chisquare profiles for delta CP, and 2D delta chisquare profiles for allowed values of delta m^2 versus sin2 theta23 at 68% and 90% are also provided. There are two ROOT files corresponding to the contours from the theta13-free and theta13-constrained fits.</p> <p>A ROOT macro which draws the contours is also provided. It can be run using the following command from the chi2 directory:</p> <pre><code>> root draw_sk_contours.cc</code></pre> <p> </p>
Stellar Tracks (i.e., MESA history files) used in the article "On Stellar Evolution In A Neutrino Hertzsprung-Russell Diagram"
<p>MESA history files (i.e. stellar tracks) for all masses in the article "On Stellar Evolution In A Neutrino Hertzsprung-Russell Diagram". Files have been compressed with xz. To decompress, xv --decompress filename.</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>
Neutrino Regimen for Treatment-experienced HCV GT1 Patients
ClinicalTrials.gov study NCT02480686. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Dataset for the work "Non-Standard Neutrino Spectra From Annihilating Neutralino Dark Matter"
Open the record for dataset details and reuse information.
IceCube All-Sky Point-Source Neutrino Events Catalog (2008-2018)
IceCube has performed several searches for point-like sources of neutrinos. The events contained in this release make up the sample used in IceCube's 10-year time-integrated neutrino point source search [1]. Events in the sample are track-like neutrino candidates detected by IceCube between April 2008 and July 2018. The data contained in this release of IceCube's point source sample shows 3.3 sigma evidence of a cumulative excess of events from a catalog of 110 potential sources, primarily driven by four sources (NGC 1068, TXS 0506+056, PKS 1424+240, and GB6 J1542+6129). NGC 1068 gives the largest excess and appears in spatial coincidence with the hottest spot in the full Northern sky search [1]. IceCube's 10-year neutrino point source event sample includes updated processing for events between April 2012 and May 2015, leading to differences in significances of some sources, including TXS 0506+056. For more information, please refer to [2]. This release contains data beginning in 2008 (IC40) until the spring of 2018 (IC86-VII). In order to standardize the release format of IceCube's point source candidate events, this release duplicates and supplants previously released data from 2012 and earlier. Events from this release cannot be combined with other IceCube public data releases. Please note that this dataset is dominated by background events from atmospheric muons and neutrinos detected by IceCube, with a subdominant astrophysical event contribution. Any spatial or temporal correlations should therefore be carefully evaluated on a statistical basis. See [1] and references therein for details regarding the statistical techniques used by IceCube. [1] Time-integrated Neutrino Source Searches with 10 years of IceCube Data, Phys. Rev. Lett. 124, 051103 (2020) [2] IceCube Data for Neutrino Point-Source Searches: Years 2008-2018, <a href="https://arxiv.org/abs/2101.09836">https://arxiv.org/abs/2101.09836</a> For additional questions about this table, please contact the authors: data [AT] icecube.wisc.edu. This database table was ingested by the HEASARC in July 2021 and is based upon files provided by the IceCube Collaboration and available from their <a href="http://doi.org/DOI:10.21234/sxvs-mt83">website</a>. This is a service provided by NASA HEASARC .
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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.