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

Ghosh, S., Liu, X., Creighton, J., Kastaun, W., Pratten, G., & Hernandez, I. M. (2021). Rapid model comparison of equations of state from gravitational wave observation of binary neutron star coalescences. Physical Review D, 104: 083003. doi:10.1103/PhysRevD.104.083003.

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 Urheber:
Ghosh, Shaon, Autor
Liu, Xiaoshu, Autor
Creighton, Jolien, Autor
Kastaun, Wolfgang1, Autor           
Pratten, Geraint, Autor
Hernandez, Ignacio Magana, Autor
Affiliations:
1Binary Merger Observations and Numerical Relativity, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_2461691              

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Schlagwörter: General Relativity and Quantum Cosmology, gr-qc, Astrophysics, High Energy Astrophysical Phenomena, astro-ph.HE
 Zusammenfassung: The discovery of the coalescence of binary neutron star GW170817 was a
watershed moment in the field of gravitational wave astronomy. Among the rich
variety of information that we were able to uncover from this discovery was the
first non-electromagnetic measurement of the neutron star radius, and the cold
nuclear equation of state. It also led to a large equation of state
model-selection study from gravitational-wave data. In those studies Bayesian
nested sampling runs were conducted for each candidate equation of state model
to compute their evidence in the gravitational-wave data. Such studies, though
invaluable, are computationally expensive and require repeated, redundant,
computation for any new models. We present a novel technique to conduct
model-selection of equation of state in an extremely rapid fashion (~minutes)
on any arbitrary model. We test this technique against the results of a
nested-sampling model-selection technique published earlier by the LIGO/Virgo
collaboration, and show that the results are in good agreement with a median
fractional error in Bayes factor of about 10%, where we assume that the true
Bayes factor is calculated in the aforementioned nested sampling runs. We found
that the highest fractional error occurs for equation of state models that have
very little support in the posterior distribution, thus resulting in large
statistical uncertainty. We then used this method to combine multiple binary
neutron star mergers to compute a joint-Bayes factor between equation of state
models. This is achieved by stacking the evidence of the individual events and
computing the Bayes factor from these stacked evidences for each pairs of
equation of state.

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 Datum: 2021-04-172021-10-022021
 Publikationsstatus: Erschienen
 Seiten: Dataset produced in this study https://zenodo.org/record/4679013#.YHuUnJNKhsA
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: arXiv: 2104.08681
DOI: 10.1103/PhysRevD.104.083003
 Art des Abschluß: -

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Titel: Physical Review D
  Andere : Phys. Rev. D.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Lancaster, Pa. : American Physical Society
Seiten: - Band / Heft: 104 Artikelnummer: 083003 Start- / Endseite: - Identifikator: ISSN: 0556-2821
CoNE: https://pure.mpg.de/cone/journals/resource/111088197762258