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Dataset results
5,090 results for “Black Hole”
Black Hole - Neutron Star Binary Mergers
Gravitational radiation waveforms for black hole-neutron star coalescence calculations. The physical input is Newtonian physics, an ideal gas equation of state with varying compressibility (through the index gamma), and point-mass gravitational radiation back reaction, which is switched off in the simulation once the star is tidally disrupted. All the simulations are 3D, done using SPH.
Black Hole-Black Hole Waveform Catalog
Numerically-generated gravitational waveforms for binary black holes.
Data for "A binary system in the S cluster close to the supermassive black hole Sagittarius A*"
Open the record for dataset details and reuse information.
Analysis of Subthreshold Binary Black Hole Merger Candidates in LIGO O1 and O2 Observing Runs
<p>Posterior datasets and figure creation code for "Analysis of Subthreshold Binary Black Hole Merger Candidates in LIGO O1 and O2 Observing Runs". </p> <p>Abstract: </p> <p>This study uses data from the LIGO Hanford and Livingston detectors (Abbott et al. 2019) to investigate binary black hole (BBH) merger candidates. 19 candidates were reviewed in total, each having been proposed by either the Institute of Advanced Study (Venumadhav et al. 2019; Zackay et al. 2019a) or the second Open Gravitational-wave catalog (Nitz et al. 2019). Triggers were categorised as significant or insignificant based on studies of posterior distribution consistency with the original detections, coherence tests, and q-transforms. Of the 19 candidates, 14 were identified as significant. Further analysis attempts to identify the formation models that produced each BBH event, such as primordial or hierarchical models. Spin population analysis was one such method used. The method implemented for spin population analysis favoured an isotropic distribution of the effective spin, which in turn could cause the results to favour hierarchical merging. This could offer some explanation to the four candidates identified in the mass gap, the range of masses for which no black holes have been detected, which was proposed by Fishbach & Holz (2017) and has so far been confirmed by LIGO.GW170304 and GW170425, as well as GW170123 and GW170727, warrant further investigation as they could be strongly lensed by a galaxy or galaxy cluster, due to similarities in the calculated parameters.GW170104A requires further investigation as q-transforms showed signal in both detectors, indicating the trigger is of astrophysical origin; however, the IMRPhenomv2 waveform has not correctly modelled the signal.</p>
Binary black-hole simulation SXS:BBH:2264
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:0610
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:0612
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:0613
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:1117
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:1121
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:0615
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:1116
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:0616
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:0617
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:0611
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:0618
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:0614
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:1118
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:0620
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:1115
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.