papers

Publications (18)

gr-qc2018

Phenomenological model for the gravitational-wave signal from precessing binary black holes with two-spin effects

Sebastian Khan, Katerina Chatziioannou, Mark Hannam +1

The properties of compact binaries, such as masses and spins, are imprinted in the gravitational-waves they emit and can be measured using parameterised waveform models. Accurately…

gr-qc2018

First higher-multipole model of gravitational waves from spinning and coalescing black-hole binaries

Lionel London, Sebastian Khan, Edward Fauchon-Jones +7

Gravitational-wave observations of binary black holes currently rely on theoretical models that predict the dominant multipoles (l,m) of the radiation during inspiral, merger and r…

gr-qc2024

Probabilistic Model for the Gravitational Wave Signal from Merging Black Holes

Sebastian Khan

Parameterised models that predict the gravitational-wave (GW) signal from merging black holes are used to extract source properties from GW observations. The majority of research i…

gr-qc2021

The final twist: A model of gravitational waves from precessing black-hole binaries through merger and ringdown

Eleanor Hamilton, Lionel London, Jonathan E. Thompson +6

We present PhenomPNR, a frequency-domain phenomenological model of the gravitational-wave (GW) signal from binary-black-hole mergers that is tuned to numerical relativity (NR) simu…

gr-qc2017

The most powerful astrophysical events: Gravitational-wave peak luminosity of binary black holes as predicted by numerical relativity

David Keitel, Xisco Jiménez Forteza, Sascha Husa +9

For a brief moment, a binary black hole (BBH) merger can be the most powerful astrophysical event in the visible universe. Here we present a model fit for this gravitational-wave p…

gr-qc2020

Modeling the gravitational wave signature of neutron star black hole coalescences: PhenomNSBH

Jonathan E. Thompson, Edward Fauchon-Jones, Sebastian Khan +4

Accurate gravitational-wave (GW) signal models exist for black hole binary (BBH) and neutron-star binary (BNS) systems, which are consistent with all of the published GW observatio…

gr-qc2020

Multi-waveform inference of gravitational waves

Gregory Ashton, Sebastian Khan

Bayesian inference of gravitational wave signals is subject to systematic error due to modelling uncertainty in waveform signal models, coined approximants. A growing collection of…

gr-qc2017

Hierarchical data-driven approach to fitting numerical relativity data for nonprecessing binary black holes with an application to final spin and radiated energy

Xisco Jiménez-Forteza, David Keitel, Sascha Husa +3

Numerical relativity is an essential tool in studying the coalescence of binary black holes (BBHs). It is still computationally prohibitive to cover the BBH parameter space exhaust…

gr-qc2019

Improving the NRTidal model for binary neutron star systems

Tim Dietrich, Anuradha Samajdar, Sebastian Khan +3

Accurate and fast gravitational waveform (GW) models are essential to extract information about the properties of compact binary systems that generate GWs. Building on previous wor…

gr-qc2023

A catalogue of precessing black-hole-binary numerical-relativity simulations

Eleanor Hamilton, Edward Fauchon-Jones, Mark Hannam +9

We present a public catalogue of numerical-relativity binary-black-hole simulations. The catalogue contains datasets from 80 distinct configurations of precessing binary-black-hole…

gr-qc2018

Matter imprints in waveform models for neutron star binaries: tidal and self-spin effects

Tim Dietrich, Sebastian Khan, Reetika Dudi +16

The combined observation of gravitational and electromagnetic waves from the coalescence of two neutron stars marks the beginning of multi-messenger astronomy with gravitational wa…

gr-qc2015

Frequency-domain gravitational waves from non-precessing black-hole binaries. I. New numerical waveforms and anatomy of the signal

Sascha Husa, Sebastian Khan, Mark Hannam +4

In this paper we discuss the anatomy of frequency-domain gravitational-wave signals from non-precessing black-hole coalescences with the goal of constructing accurate phenomenologi…

gr-qc2015

Frequency-domain gravitational waves from non-precessing black-hole binaries. II. A phenomenological model for the advanced detector era

Sebastian Khan, Sascha Husa, Mark Hannam +4

We present a new frequency-domain phenomenological model of the gravitational-wave signal from the inspiral, merger and ringdown of non-precessing (aligned-spin) black-hole binarie…

gr-qc2024

What no one has seen before: gravitational waveforms from warp drive collapse

Katy Clough, Tim Dietrich, Sebastian Khan

Despite originating in science fiction, warp drives have a concrete description in general relativity, with Alcubierre first proposing a spacetime metric that supported faster-than…

gr-qc2020

Gravitational-wave surrogate models powered by artificial neural networks: The ANN-Sur for waveform generation

Sebastian Khan, Rhys Green

Inferring the properties of black holes and neutron stars is a key science goal of gravitational-wave (GW) astronomy. To extract as much information as possible from GW observation…

gr-qc2020

Including higher order multipoles in gravitational-wave models for precessing binary black holes

Sebastian Khan, Frank Ohme, Katerina Chatziioannou +1

Estimates of the source parameters of gravitational-wave (GW) events produced by compact binary mergers rely on theoretical models for the GW signal. We present the first frequency…

gr-qc2019

On the properties of the massive binary black hole merger GW170729

Katerina Chatziioannou, Roberto Cotesta, Sudarshan Ghonge +53

We present a detailed investigation into the properties of GW170729, the gravitational wave with the most massive and distant source confirmed to date. We employ an extensive set o…

gr-qc2018

Enhancing gravitational waveform models through dynamic calibration

Yoshinta Eka Setyawati, Frank Ohme, Sebastian Khan

Strategies to model the inspiral, merger and ringdown gravitational waveform of coalescing binaries are restricted in parameter space by the coverage of available numerical-relativ…