Effects of nonquadrupole modes in the detection and parameter estimation of black hole binaries with nonprecessing spins
Vijay Varma, Parameswaran Ajith

TL;DR
This paper investigates how ignoring nonquadrupole modes in gravitational wave templates affects detection efficiency and parameter accuracy for black hole binaries with nonprecessing spins, highlighting significant impacts for certain mass ratios and spins.
Contribution
It provides a comprehensive analysis of the impact of nonquadrupole modes on GW detection and parameter estimation, offering guidelines for when these modes must be included.
Findings
Neglecting nonquadrupole modes causes significant detection loss for massive, high mass-ratio binaries.
Ignoring subdominant modes leads to larger detection loss for aligned-spin binaries.
Quadrupole-mode templates bias parameter estimates more for anti-aligned spin binaries.
Abstract
We study the effect of nonquadrupolar modes in the detection and parameter estimation of gravitational waves (GWs) from black hole binaries with nonprecessing spins, using Advanced LIGO. We evaluate the loss of the signal-to-noise ratio (SNR) and the systematic errors in the estimated parameters when a quadrupole-mode template family is used to detect GW signals with all the relevant modes. Target signals including nonquadrupole modes are constructed by matching numerical-relativity simulations of nonprecessing black hole binaries describing the late inspiral, merger and ringdown with post-Newtonian/effective-one-body waveforms describing the early inspiral. We find that neglecting nonquadrupole modes will, in general, cause unacceptable loss in the detection rate and unacceptably large systematic errors in the estimated parameters, for the case of massive binaries with large mass…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
