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5,021 results for “binary black holes”

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zenodo48/100

Data release for "Things that might Go bump in the night: Assessing structure in the binary black hole mass spectrum"

<p>Data release accompanying &quot;Things that might go bump in the night: Assessing structure in the binary black hole mass spectrum&quot;</p> <p>Included are:</p> <ul> <li>500 mock catalogs containing 69 events each, in netCDF4 format&nbsp;(can be found in `with_z_evo_lalprior_69_evs_prod_mock_PE.tar.gz`)</li> <li>A corresponding injection set&nbsp;using O3 sensitivity (`with_z_evo_lalprior_69_evs_prod_injections.h5`)</li> <li>Files containing hyperposterior samples resulting from a Power Law + Spline fit to 100 of the 69-event mock catalogs (`PowerLawSpline_69evs_20knots_2t100_*_result.json`)</li> <li>Files containing hyperposterior samples resulting from a smoothed power law&nbsp;fit to 100 of the 69-event mock catalogs (`Truncated_69evs_*_result.json`)</li> </ul> <p>Code using these files to create all plots in the paper can be found at&nbsp;https://git.ligo.org/amanda.farah/bump-significance</p> <p>Code used to create the mock catalogs can be found at&nbsp;https://git.ligo.org/amanda.farah/mock-PE</p>

opencc-by-4.0Dec 2022View details →
zenodo44/100

Simulation of GW150914 binary black hole merger using the Einstein Toolkit

<p>On February 11, 2016, the LIGO collaboration announced that they had achieved the first ever direct detection of gravitational waves. The gravitational waves – which were detected by both LIGO detectors on September 14, 2015 at 09:51 UTC – were generated over a billion years ago by the merger of a binary black hole system. The announcement came along with the simultaneous publication of a peer-reviewed paper [Phys. Rev. Lett. 116, 061102]; several other papers giving technical details; and a full release of the data from the detection, which has been given the name GW150914.</p> <p>The LIGO analysis found that the merger consisted of a 36 + 29 solar mass binary black hole system, the remnant was a 62 solar mass black hole, and the remaining 3 solar masses were radiated as gravitational waves. This dataset represents a subset of the data from a simulation in which the Einstein Toolkit was used to evolve the last 6 orbits and merger of a binary black hole system with parameters that match the GW150914 event.</p> <p>More details on the simulation, including instructions for how to run it and how to analyse the data can be found in the Einstein Toolkit gallery at http://einsteintoolkit.org/about/gallery/gw150914/.</p>

opencc-by-4.0Sep 2016View details →
zenodo44/100

Supplementary data release for "Cosmology and modified gravitational wave propagation from binary black hole population models"

<p>We release&nbsp;the data products associated to the paper&nbsp;<a href="https://arxiv.org/abs/2112.05728">&quot;Cosmology and modified gravitational wave propagation from binary black hole population models&quot;,&nbsp;</a><a href="https://journals.aps.org/prd/abstract/10.1103/PhysRevD.105.064030"><em>Phys.Rev.D</em>&nbsp;105&nbsp;(2022)&nbsp;6 </a>.</p> <p>The data can be used in conjunction with the code <a href="https://github.com/CosmoStatGW/MGCosmoPop">MGCosmoPop</a> to reproduce the results of the paper.&nbsp;</p> <p>The data product contains the following folders:</p> <p>* injections_GWTC3:&nbsp;injections used to analyze the GWTC3 catalog, generated with the code&nbsp;<a href="https://github.com/CosmoStatGW/MGCosmoPop">MGCosmoPop</a>&nbsp;. Injections are available separately for O1-O2, O3a, O3b for&nbsp;minimum SNR of 10, 11, 12&nbsp;(folder names are self-explicative). Each folder contains a file named selected.h5 with the injections. For loading them, refer to the tutorial of the code&nbsp;<a href="https://github.com/CosmoStatGW/MGCosmoPop">MGCosmoPop</a>&nbsp;.</p> <p>*&nbsp;mock_BPL_5yr_GR : mock data for 5 years of aLIGO observations, with fiducial cosmological model set to General Relativity (see the paper for details)</p> <p>*&nbsp;mock_BPL_5yr_MG&nbsp;: mock data for 5 years of aLIGO observations, with fiducial cosmological model set to a modified gravity model with modified gravitational-wave propagation (see the paper for details)</p> <p>*&nbsp;injections_mock : injections for analyzing the mock datasets above</p>

opencc-by-4.0Apr 2022View details →
zenodo44/100

Data Release: "No evidence that the majority of black holes in binaries have zero spin"

<p>This dataset contains the results presented in&nbsp;&quot;<em>No evidence that the majority of black holes in binaries have zero spin</em>&quot;.</p> <p>In this paper, we systematically explored the effective and component spin distributions of binary black holes among the LIGO/Virgo GWTC-3 catalog.&nbsp;In particular, we tried to answer the following core questions, which have been the subject of active exploration and some debate in the literature:</p> <p><em>1. Is there an excess of binary black holes with vanishing spin, as predicted by some theories of angular momentum transport in stellar cores?</em></p> <p><strong>We find no evidence for an excess of vanishing spin systems.</strong>&nbsp;This finding is confirmed by three complementary analyses: one relying only on the Bayes factors between spinning and non-spinning priors for each BBH observation,&nbsp;one that seeks to model the distribution of effective aligned spins,&nbsp;and one modeling the distribution of component spin magnitudes and misalignment angles.&nbsp;Instead, we find BBH spin magnitudes to be consistent with a single, continuous distribution that remains finite at magnitude zero.</p> <p><em>2. Do there exist binaries with component spins misaligned by more than 90 degrees relative to their orbits?</em></p> <p><strong>We find a strong preference for the existence of such strongly misaligned spins.</strong>&nbsp;Our analysis of the BBH component spin distribution indicates that at least some component spins are misaligned from their orbits by more than 90 degrees.&nbsp;This result is robust under a variety of modeling choices regarding both the distribution of component spin magnitudes and tilts.</p> <p>The code used to generate this data can be found in the&nbsp;repository&nbsp;<a href="https://github.com/tcallister/gwtc3-spin-studies/">https://github.com/tcallister/gwtc3-spin-studies/</a>. This repository includes <a href="https://github.com/tcallister/gwtc3-spin-studies/tree/main/data">jupyter notebooks</a> that can be used to open, explore, and plot the files contained in this data set. Additional information about reproducing and/or using this dataset can be found in <a href="https://tcallister.github.io/gwtc3-spin-studies/build/html/index.html">our associated documentation</a>.</p> <p>Further notes:</p> <ul> <li>The files <em>sampleDict_FAR_1_in_1_yr.pickle</em>&nbsp;and <em>injectionDict_FAR_1_in_1.pickle</em>, used as inputs to our analyses, are created via code in the repository&nbsp;<a href="https://github.com/tcallister/get-lvk-data">https://github.com/tcallister/get-lvk-data</a> (see also&nbsp;<a href="https://zenodo.org/record/6505409">https://zenodo.org/record/6505409</a>).</li> <li>The file&nbsp;<em>posteriors_gaussian_spin_samples_FAR_1_in_1.json</em>, used for figure generation, was published by the LIGO Scientific Collaboration, Virgo Collaboration, and KAGRA Collaboration in support of the paper &quot;<a href="https://arxiv.org/abs/2111.03634">The population of merging compact binaries inferred using gravitational waves through GWTC-3</a>&quot; (see&nbsp;<a href="https://zenodo.org/record/5655785">https://zenodo.org/record/5655785</a>).</li> </ul>

opencc-by-4.0May 2022View details →
zenodo44/100

Optical polarimetric observations of the black hole binary star Cyg X-1 with RoboPol

<p>The dataset contains raw&nbsp;FITS images of the&nbsp;black hole X-ray binary star&nbsp;<a href="https://simbad.cds.unistra.fr/simbad/sim-id?Ident=%402905066&amp;Name=HD%20226868&amp;submit=submit">Cyg X-1</a>,&nbsp;raw&nbsp;FITS images of a nearby field star used for the interstellar polarization correction and processed&nbsp;measurements of polarimetric standards used for the instrumental polarization correction. The dataset was&nbsp;obtained with the <a href="http://robopol.org">RoboPol</a>&nbsp;optical&nbsp;polarimeter in the R-band&nbsp;mounted at the 1.3&nbsp;m telescope of the Skinakas Observatory, Greece. The data were collected between&nbsp;13&nbsp;May and&nbsp;1 June 2022.<br> &nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo44/100

Precessing binary-black-hole numerical relativity catalogue (minimal data release)

<p>This page contains the minimal data release associated with the catalogue presented in&nbsp;<a href="https://dcc.ligo.org/DocDB/0186/P2300054/001/catalogue.pdf">A catalogue of precessing black-hole-binary numerical-relativity simulations</a>. This catalogue contains 80 single-spin precessing black-hole-binary configurations.&nbsp;</p> <p>The content of the data release is described <a href="https://data.cardiffgravity.org/bam-catalogue/">here</a>, along with instructions on how to parse the data.</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

Polluting the pair-instability mass gap for binary black holes through super-Eddington accretion in isolated binaries

<p>These are the results from:</p> <p>&quot;Polluting the pair-instability mass gap for binary black holes through super-Eddington accretion in isolated binaries&quot;<br> Authors: L.A.C. van Son, S. E. de Mink, F. S. Broekgaarden, M. Renzo, S. Justham, E. Laplace, J. Moran-Fraile, D. D. Hendriks, and R. Farmer</p> <p>ADS: &nbsp;&nbsp; &nbsp;https://ui.adsabs.harvard.edu/abs/2020arXiv200405187V/abstract<br> arXiv:&nbsp;&nbsp; &nbsp;https://arxiv.org/abs/2004.05187</p> <p>If you use (part of) these results in a scientific publication, we would greatly appreciate it if you would cite the source paper.</p> <p>This work uses <a href="https://compas.science/">COMPAS</a> to compute binary population properties (<a href="http://https://github.com/TeamCOMPAS/COMPAS/tree/master/docs">https://github.com/TeamCOMPAS/COMPAS/tree/master/docs</a>).</p> <p>*****************************</p> <p>For each of our 4 model variations (0. Fiducial, 1. Stable accretion, 2. Common envelope accretion and 3. Combined) we provide 2 files:</p> <p>1.) pythonSubmit.py file describing the initial conditions that were used to run the simulations</p> <p>2.) COMPASOutput.h5 file, which contains the following datasets resulting from our simulations :<br> [&#39;systems&#39;,<br> &nbsp;&#39;doubleCompactObjects&#39;,<br> &nbsp;&#39;commonEnvelopes&#39;,<br> &nbsp;]</p> <p>Detailed descriptions of these groups can be found in the accompanying README file.</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

Multiwavelength observations reveal a faint candidate black hole X-ray binary in IGR J17285-2922

<h2>Reproduction package for the paper "Multiwavelength observations reveal a faint candidate black hole X-ray binary in IGR J17285-2922"</h2><h4>This is a reproduction package with the internal API designation of 'silver'</h4><h4>Monthly Notices of the Royal Astronomical Society, Volume 507, Issue 1, October 2021, Pages 330–349</h4><h4>Authors: <strong>M. Stoop</strong>, J. van den Eijnden, N. Degenaar, A. Bahramian, S. J. Swihart, J. Strader, F. Jiménez-Ibarra, T. Muñoz-Darias, M. Armas Padilla, A. W. Shaw, T. J. Maccarone, R. Wijnands, T. D. Russell, J. V. Hernández Santisteban, J. C. A. Miller-Jones, D. M. Russell, D. Maitra, C. O. Heinke, G. R. Sivakoff, F. Lewis D. M. Bramich</h4><h4>Paper DOI: https://doi.org/10.1093/mnras/stab2127</h4><h4>Zenodo DOI: https://doi.org/10.5281/zenodo.4664505</h4><p>&nbsp;</p><h2>Raw Data</h2><p>&nbsp;</p><p>- Uncalibrated X-ray data is given in ./raw_data</p><p>&nbsp;</p><p>- Radio data is too large in size to be stored on Zenodo. If you want to acquire these images, but can be found under https://data.nrao.edu searching for project code SF8027</p><p>&nbsp;</p><p>- Raw data for the optical spectra can be acquired by contacting J. van den Eijnden</p><p>&nbsp;</p><h2>Software</h2><p>&nbsp;</p><p>- OS: MacOS Big Sur 11.6</p><p>&nbsp;</p><p>Programming languages:</p><p>&nbsp;</p><p>- Python (3.9.7), matplotlib, numpy, pandas, scipy, linmix</p><p>&nbsp;</p><p>- Jupyter Notebook (6.3.0)</p><p>&nbsp;</p><p>NASA HEASARC's Software:</p><p>&nbsp;</p><p>- xrtpipeline (version 0.13.5)</p><p>&nbsp;</p><p>- caldb in the heasoft package (version 6.26.1)</p><p>&nbsp;</p><p>- xselect (version v2.4g)</p><p>&nbsp;</p><p>- xrtmkarf (version 0.6.3)</p><p>&nbsp;</p><p>- xspec (v. 12.10.1f)</p><p>&nbsp;</p><p>- casa pipeline (5.6.2)</p><p>&nbsp;</p><h2>Figures and Tables</h2><p>&nbsp;</p><p>- scripts and data to make the figures and tables can be found in ./figures_tables</p><p>&nbsp;</p><p>- figure 4, 5, 6, and 7 are made by collaborators. Please contact J. van den Eijnden if you would like access to data files or scripts for these figures.</p><p>&nbsp;</p><p>- X-ray lightcurve fit results in Table 3 is done by collaborators. Please contact J. van den Eijnden if you would like access to data files or scripts for this table.</p><p>&nbsp;</p><h2>Intermediate data products &nbsp;</h2><p>&nbsp;</p><p>- Intermediate data products can be found in the directory ./intermediate_data</p><p>&nbsp;</p><p>- This includes the calibrated X-ray data, VLA imaging scripts to determine the flux density and spectral index.</p><p>&nbsp;</p><p>- Scripts can also be found here for intermediate data products for several figures (1, 2, 3, 8)</p><p>&nbsp;</p><h2>Scientific-analysis</h2><p>&nbsp;</p><p>- The directory ./scientific_analysis contains scripts and data to reduce the raw data to the intermediate data products.</p><p>&nbsp;</p><p>- ./Xray_files how to calibrate the Swift X-ray spectra</p><p>&nbsp;</p><p>- ./Xray_spectral_evolution contains how the intermediate data products for figure 3</p><p>&nbsp;</p><p>- ./VLA_data_reduction how to reduce the VLA data and determine flux densities and spectral indices</p><p>&nbsp;</p><p>- ./Radio_Xray_Coupling contains the intermediate data products for figure 2</p><p>&nbsp;</p><p>- ./Xray_lightcurve_fitting contains intermediate data products for Table 3 and fitting performed in section 3.4</p><p>&nbsp;</p><p>- ./Orbital_Period contains intermediate data products for Table 4 and Figure 8</p><p>&nbsp;</p><p>- ./xray contains backup files related to the x-ray spectra</p><p>&nbsp;</p><p>- ./radio contains backup files related to the radio data</p><p>&nbsp;</p><p>- the main results (intermediate data products) are the .txt files in this directory</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0013

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q4_precessing' in the related literature.

opencc-zeroMay 2021View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0012

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q4_antialigned_chi0_4' in the related literature.

opencc-zeroMay 2021View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0011

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q4_aligned_chi0_4' in the related literature.

opencc-zeroMay 2021View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0009

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_superkick' in the related literature.

opencc-zeroMay 2021View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0010

<p>Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as &#39;q4_nospin&#39; in the related literature.</p>

opencc-zeroMay 2021View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0008

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_precessing' in the related literature.

opencc-zeroMay 2021View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0007

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_antialigned_chi0_6' in the related literature.

opencc-zeroMay 2021View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0006

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_antialigned_chi0_4' in the related literature.

opencc-zeroMay 2021View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0005

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_antialigned_chi0_2' in the related literature.

opencc-zeroMay 2021View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0003

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_aligned_chi0_4' in the related literature.

opencc-zeroMay 2021View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0002

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_aligned_chi0_2' in the related literature.

opencc-zeroMay 2021View details →
zenodo40/100

Binary black-hole simulation SXS:BBH_ExtCCE:0001

Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_nospin' in the related literature.

opencc-zeroMay 2021View details →

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dandi-nwb
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Last verified 2026-04-30Open record

International Brain Laboratory public data

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Last verified 2026-04-29Open record

OpenNeuro

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Last verified 2026-04-29Open record