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5,090 results for “Black Hole”
Binary black-hole simulation SXS:BBH:0108
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Quantum entanglement in nature: high temperature superconductors and black holes
Open the record for dataset details and reuse information.
Tests of General Relativity with Binary Black Holes from the second LIGO–Virgo Gravitational-Wave Transient Catalog - Full Posterior Sample Data Release
<p>Data release containing full posterior samples of the following analyses reported in the paper "Tests of General Relativity with Binary Black Holes from the second LIGO–Virgo Gravitational-Wave Transient Catalog" from the LIGO Scientific Collaboration and Virgo Collaboration (<a href="https://doi.org/10.1103/PhysRevD.103.122002">Phys. Rev. D 103, 122002</a>, also available at <a href="https://arxiv.org/abs/2010.14529">arxiv.org:2010.14529</a> and <a href="https://dcc.ligo.org/LIGO-P2000091/public">https://dcc.ligo.org/LIGO-P2000091/public</a>):</p> <ul> <li>Echoes (Sec VII B): ech.zip</li> <li>Inspiral-merger-ringdown consistency test (Sec IV B): imr.zip</li> <li>Lorentz invariance violation test (Sec V I): liv.zip</li> <li>Parametrized tests of general relativity (Sec V A): par.zip</li> <li>Ringdown test (Sec VII A): rin.zip</li> <li>Spin-induced quadrupole moment test (Sec V B): sim.zip</li> </ul> <p>Each zip file contains HDF5 files that can either be read directly with standard HDF5 tools, or using PESummary (<a href="https://docs.ligo.org/lscsoft/pesummary/">https://docs.ligo.org/lscsoft/pesummary/</a>)</p> <p> </p>
Graphics: Evolutionary pathways leading to Sequential Binary Black Hole Mergers
<p>Schematical representations of the evolutionary pathways leading to sequential binary black hole mergers as presented in the paper "Massive Stellar Triples Leading to Sequential Binary Black-Hole Mergers in the Field".</p> <p>Contents:</p> <p>./sequential_mergers_illustrations/</p> <ul> <li>final.*</li> <li>A/ <ul> <li>panel_A.*</li> <li>*/ <ul> <li>A1</li> <li>A2_1</li> <li>A2_2</li> <li>A2_3</li> <li>A2_4</li> <li>A2_5</li> </ul> </li> </ul> </li> <li>B/ <ul> <li>panel_B.*</li> <li>*/ <ul> <li>B_1</li> <li>B_2</li> <li>B_3</li> <li>B_4</li> <li>B_5</li> <li>B2_1</li> <li>B2_2</li> <li>B2_3</li> <li>B2_4</li> <li>B2_5</li> </ul> </li> </ul> </li> <li>C/ <ul> <li>panel_C.*</li> <li>*/ <ul> <li>C_1</li> <li>C_2</li> <li>C_3</li> <li>C_4</li> </ul> </li> </ul> </li> </ul> <p>The asterisk (*) corresponds to the string "pdf", "png" or "jpg" which indicates the format of the image.</p> <p> </p>
Constraints from gravitational waves detections of binary black hole mergers on the C12(alpha, gamma)O16 rate
<p><strong>Reproduction package for the paper "Constraints from gravitational wave detections of binary black hole mergers on the $^{12}\rm{C}\left(\alpha,\gamma\right)^{16}\!\rm{O}}$ rate"</strong></p> <p> </p> <p><strong>This package contains inlists for MESA, custom reaction rates used, and processed output data.</strong></p> <p> </p> <p><strong>Version 1 contains files for the original arxiv submission.</strong></p> <p><strong>Version 2 contains updates due to changes made during peer review</strong></p> <p><strong>Version 3 updates inlist_ppisn. There is a slight difference between the inlists used for different parts of the paper</strong></p>
Relativistic dynamics of stars near a supermassive black hole
<p>This data was first presented in `Relativistic dynamics of stars near a supermassive black hole’ (Hamers et al. 2014, MNRAS 443, 1; http://mnras.oxfordjournals.org/content/443/1/355; doi: 10.1093/mnras/stu1126). It includes the first- and second-order diffusion coefficients (DFCs) from the S-star N-body simulations (cf. Section 5.1 from the paper) as a function of the angular-momentum variable \ell = \sqrt{1-e^2}, binned with respect to the semimajor axis (cf. Section 5.4 from the paper).</p> <p>Description of the comma-separated txt files:<br /> `a_bins.txt’ - the semimajor axis bins. Semimajor axes are given in units of mpc (milliparsec). First column: the index of the bin; second column: the lower bin value; third column: the upper bin value; fourth column: the mean value.<br /> `D12_l_index_a_bin_i.txt’ - the DFCs for the different semimajor axis bins as a function of \ell (i is the bin index). First column: the value of \ell; second column: the first-order DFC, in units of 1/Myr; third column: the second-order DFC, in units of 1/Myr.</p> <p>Adrian Hamers, 22 April 2016</p>
Integrated Evidence for Black Holes and White Holes
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Detecting stripped stars while searching for quiescent black holes
<p>Data products and input files necessary to reproduce the MESA simulations in "Detecting stripped stars while searching for quiescent black holes".</p> <p>MESA version: 12778</p> <p>MESASDK version: x86_64-linux-20.3.</p>
Posterior samples of high-redshift binary black holes
<p>Catalog of the posterior samples of the simulations reported in the paper "<a href="https://doi.org/10.3847/2041-8213/ac6bea">On the Single-event-based Identification of Primordial Black Hole Mergers at Cosmological Distances</a>" (arXiv:2108.07276).</p>
X-ray observations of black hole binary Cyg X-1 with INTEGRAL
<p>This data set contains the extracted energy spectrum, corresponding response matrix, and light curve fits files obtained with the INTEGRAL Soft Gamma-Ray Imager (ISGRI, 30–80 keV) instrument aboard the INTErnational Gamma-Ray Astrophysics Laboratory (INTEGRAL) space telescope. The data were collected over three observing periods during the week 2022 May 15-20. </p>
Binary black-hole simulation SXS:BBH:0193
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0182
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0063
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0064
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0168
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0167
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0170
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0104
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0052
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
Binary black-hole simulation SXS:BBH:0051
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.
ScienceDex guides
Understand access before you commit
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.