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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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NSNS simulations from: Impact of Massive Binary Star and Cosmic Evolution on Gravitational Wave Observations II: Double Compact Object Mergers

Authors: Floor S. Broekgaarden;

NSNS simulations from: Impact of Massive Binary Star and Cosmic Evolution on Gravitational Wave Observations II: Double Compact Object Mergers

Abstract

The data for all NSNS simulations shown in "Impact of Massive Binary Star and Cosmic Evolution on Gravitational Wave Observations II: Double Compact Object Mergers". Broekgaarden et al. (2021, submitted, preprint: https://arxiv.org/abs/2112.05763) Contents: 18 zip files that each contain an hdf5 file with the raw data for one of the simulations from Table 1 in the paper. The only exception is the fiducial.zip file and the unstableCaseBB.zip file, which contain both the fiducial (model A) and 'optimistic CE' (model K) data file and the "unstable case BB" (model E) and "unstable case BB + optimistic CE" (model F) files. These zip files are: fiducial.zip, the Fiducial model (A) and Optimistic CE model (K) massTransferEfficiencyFixed_0_25.zip, the \(\beta\) = 0.25 model (B) massTransferEfficiencyFixed_0_5.zip, the \(\beta\) = 0.5 model (C) massTransferEfficiencyFixed_0_75.zip, the \(\beta\) = 0.75 model (D) unstableCaseBB.zip, the unstable case BB mass transfer model (E) and unstable case BB & optimistic CE model (F) alpha0_1 zip, the \(\alpha = 0.1\) model (G) alpha0_5.zip, the \(\alpha = 0.5\) model (H) alpha2_0.zip, the \(\alpha = 2.0\) model (I) alpha10_0.zip, the \(\alpha = 10.0\) model (J) rapid.zip, the rapid SN model (L) maxNSmass2_0.zip, the max \(m_{\rm{NS}} = 2\, \rm{M}_{\odot}\) model (M) maxNSmass3_0.zip, the max \(m_{\rm{NS}} = 3\, \rm{M}_{\odot}\) model (N) noPISN.zip, the no PISN model (O) ccSNkick_100km_s.zip, the \(\sigma_{\rm{cc}}\)= 100 km/s model (P) ccSNkick_30km_s.zip, the \(\sigma_{\rm{cc}}\)= 30 km/s model (Q) noBHkick.zip, the no BH SN kick model (R) wolf_rayet_multiplier_0_1.zip, the model with Wolf-Rayet wind factor \(f_{\rm{WR}} = 0.1\) (S) wolf_rayet_multiplier_5.zip, the model with Wolf-Rayet wind factor \(f_{\rm{WR}} = 5\) (T) 2 more zip files containing csv files with the summarized rates to create Figures 1, 2 and 3, which do not require downloading the entire dataset, but instead use these csv files with the summarized rates: csvFilesForFigure1_DCOpaper.zip # contains the files to recreate figure 1 with the merger rates per metallicity for BH-BH, BH-NS and NS-NS: formationRatesTotalAndPerChannel_BHBH_.csv formationRatesTotalAndPerChannel_BHNS_.csv formationRatesTotalAndPerChannel_NSNS_.csv csvFilesForFigure2_and_3_DCOpaper.zip # contains the files to recreate figure 2 with the merger rates for intrinsic and GW detection weighted, containing the csv files with names: rates_MSSFR_Models_BHBH_AllDCOsimulation.csv rates_MSSFR_Models_NSNS_AllDCOsimulation.csv rates_MSSFR_Models_BHNS_AllDCOsimulation.csv Details of how to use the data (a readme), as well as scripts to reproduce all results, plots, and figures from the paper are given in the accompanying Github repository https://github.com/FloorBroekgaarden/Double-Compact-Object-Mergers If you use this data, please cite Broekgaarden et al. (2021): see https://ui.adsabs.harvard.edu/abs/2021arXiv211205763B/abstract

Related Organizations
Keywords

COMPAS, gravitational waves, NSNS, binary population synthesis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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