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5,090 results for “Black Hole”

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zenodo40/100

The Accretion History of AGN I: Supermassive Black Hole Population Synthesis Model

<p>The X-ray Luminosity Function attached to this paper:&nbsp;https://ui.adsabs.harvard.edu/#abs/arXiv:1810.02298</p> <p>The python script contains instructions on how to calculate space densities using the numpy array.</p>

opencc-by-4.0Dec 2018View details →
zenodo40/100

gwastro/o2-bbh-pe: v2.2 data release of O2 Binary Black Hole posterior samples

<p>This is the v2.2 data release associated with the parameter estimation analysis of the binary black-hole signals from Advanced LIGO-Virgo&#39;s second observing run, using the PyCBC Inference toolkit : <a href="https://iopscience.iop.org/article/10.1088/1538-3873/aaef0b">https://iopscience.iop.org/article/10.1088/1538-3873/aaef0b</a> . A companion paper presenting our parameter estimation analysis and the data release is available here : <a href="https://arxiv.org/pdf/1811.09232.pdf">https://arxiv.org/pdf/1811.09232.pdf</a>.</p> <p>The analysis was performed using the PyCBC v1.12.3 code on the gravitational-wave data available at <a href="https://www.gw-openscience.org/catalog/GWTC-1-confident/html/">https://www.gw-openscience.org/catalog/GWTC-1-confident/html/</a> . Descriptions of the gravitational-wave data can be found in the paper <a href="https://arxiv.org/abs/1811.12907">https://arxiv.org/abs/1811.12907</a> .</p> <p>The changes in this release are</p> <ul> <li>An update to the plotting code in <code>data_release_o2_bbh_pe.ipynb</code> for generating Figs. 1, 2, and 3 in the companion paper to take into account cases where a boundary bias may be introduced for plotting probability contours.</li> <li>Addition of a plotting code in <code>data_release_o2_bbh_pe.ipynb</code> that generates a corner plot showing estimates (median and 90% credible interval) and posterior distributions for all the parameters presented in Table 1 of the companion paper.</li> <li>Addition of a notebook <code>o2_bbh_pe_skymaps.ipynb</code> that demonstrates the method for visualizing sky location posteriors as presented in Fig. 4 of the manuscript.</li> </ul> <p>The data and configuration files included remain the same as in the v2.1 release.</p> <p>This release includes :</p> <ul> <li>posterior and prior samples from parameter estimation analyses of the seven binary black-hole events---GW170104, GW170608, GW170729, GW170809, GW170814, GW170818, and GW170823.</li> <li>PSDs used in each of the analyses</li> <li>configuration files and run scripts for running the analyses and generating the data.</li> <li>tutorials for manipulating the data and reconstructing the figures in the companion paper.</li> </ul>

opencc-by-4.0Apr 2019View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0097

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0095

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0096

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0101

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0100

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0093

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0099

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0103

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0094

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0007

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0102

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0092

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0078

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0016

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0075

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0077

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0082

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →
zenodo40/100

Binary black-hole simulation SXS:BBH:0079

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>.

opencc-by-4.0Apr 2018View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record