English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We present PhenomPNR, a frequency-domain phenomenological model of thegravitational-wave (GW) signal from binary-black-hole mergers that is tuned tonumerical relativity (NR) simulations of precessing binaries. In many currentwaveform models, e.g., the "Phenom" and "EOBNR" families that have been usedextensively to analyse LIGO-Virgo GW observations, analytic approximations areused to add precession effects to models of non-precessing (aligned-spin)binaries, and it is only the aligned-spin models that are fully tuned to NRresults. In PhenomPNR we incorporate precessing-binary NR results in two ways:(i) we produce the first NR-tuned model of the signal-based precession dynamicsthrough merger and ringdown, and (ii) we extend a previous aligned-spin model,PhenomD, to include the effects of misaligned spins on the signal in theco-precessing frame. The NR calibration has been performed on 40 simulations ofbinaries with mass ratios between 1:1 and 1:8, where the larger black hole hasa dimensionless spin magnitude of 0.4 or 0.8, and we choose five angles of spinmisalignment with the orbital angular momentum. PhenomPNR has a typicalmismatch accuracy within 0.1% up to mass-ratio 1:4, and within 1% up tomass-ratio 1:8.

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