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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
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Dataset for Rapid model comparison of equations of state from gravitational wave observation of binary neutron star coalescences

Authors: Ghosh, Shaon; Liu, Xiaoshu; Creighton, Jolien; Kastaun, Wolfgang; Pratten, Geraint; Magana, Ignacio;

Dataset for Rapid model comparison of equations of state from gravitational wave observation of binary neutron star coalescences

Abstract

This dataset includes the posterior samples of the parameter estimation (PE) run for binary neutron star coalescence events, GW170817, and GW190425. The PE analysis was done using the LALInference_mcmc code hosted in LALSuite. These PE runs were conducted with the appropriate prior required to use the GWXtreme code to compute Bayes-factors between different neutron star equation of state models. The results of these runs are also publicly released via this dataset. Please read the included README.md file for more details.

Keywords

EOS, BNS, LIGO, GW

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selected citations
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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).
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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.
BIP!Impulse provided by BIP!
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