📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Enhancing gravitational wave parameter estimation with nonlinear memory: Breaking the distance-inclination degeneracy (2024)

First Author: Xu Y

Attributed to: UK Involvement in the Operation of Advanced LIGO funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1103/physrevd.109.123034

Publication URI: http://dx.doi.org/10.1103/physrevd.109.123034

Type: Journal Article/Review

Parent Publication: Physical Review D

Issue: 12

ISSN: 2470-0010