Praveen Manoharan

Universal Relations for Binary Neutron Star Mergers with Long-lived Remnants (eBook, PDF)

• Format: PDF

Produktbeschreibung

In the last 25 years, an extensive body of work has developed various equation of state independent - or (approximately) universal - relations that allow for the inference of neutron star parameters from gravitational wave observations. These works, however, have mostly been focused on singular neutron stars, while our observational efforts at the present, and in the near future, will be focused on binary neutron star (BNS) mergers. In light of these circumstances, the last five years have also given rise to more attempts at developing universal relations that relate BNS pre-merger neutron stars to stellar parameters of the post-merger object, mostly driven by numerical relativity simulations. In this thesis a first attempt at perturbatively deriving universal relations for binary neutron star mergers with long-lived neutron star remnants is presented. The author succeeds in confirming previous results relating pre-merger binary tidal deformabilities to the f-mode frequency of the post-merger object. Combining this result with recent advances of computing the f-mode frequency of fast rotating neutron stars, he also derives a combined relation that relates the pre-merger binary tidal deformability of a BNS to the effective compactness of a long-lived neutron star remnant. Finally, he also proposes a direct relation between these quantities with improved accuracy.

About the author

Praveen Manoharan is PhD student at Tübingen University, Institute for Theoretical Astrophysics.

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Produktdetails

• Verlag: Springer Fachmedien Wiesbaden
• Seitenzahl: 65
• Erscheinungstermin: 28. März 2022
• Englisch
• ISBN-13: 9783658368418
• Artikelnr.: 63670686

Autorenporträt

About the author

Praveen Manoharan is PhD student at Tübingen University, Institute for Theoretical Astrophysics.

Inhaltsangabe

Introduction.- Related Work.- Theory.- Methodology.- Results.- Discussion & Conclusion.

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