Published November 15, 2022 | Version Published
Journal Article Open

One-stop function for gravitational-wave detection, identification, and inference

  • 1. ROR icon National University of Singapore
  • 2. ROR icon California Institute of Technology

Abstract

I define here a novel function on a modeled space of gravitational-wave signals, before studying its properties as a statistic for detection, as an objective function for identification, and as an effective likelihood function for inference. The main motivation behind this work is the open data-analysis problem for signals from extreme-mass-ratio inspirals, which is severely hindered by the presence of strong nonlocal parameter degeneracy in the signal space. I demonstrate the utility of the proposed function for the analysis of such signals, and suggest various possible directions for future research.

Additional Information

© 2022 American Physical Society. I am grateful to Curt Cutler for seminal discussions, and for our closely related collaboration. Lorenzo Speri suggested the effective broadening of the proposed function with truncated observation durations, for which I am deeply appreciative. Thanks also go out to Katerina Chatziioannou, Neil Cornish, Michael Katz, Christopher Moore and Michele Vallisneri for their insightful input on the manuscript. This work was supported by the NASA LISA Preparatory Science Grant No. 20-LPS20-0005.

Attached Files

Published - PhysRevD.106.104051.pdf

Files

PhysRevD.106.104051.pdf

Files (1.9 MB)

Name Size Download all
md5:4e583425752aad124f5e9aa014c9048b
1.9 MB Preview Download

Additional details

Identifiers

Eprint ID
120506
Resolver ID
CaltechAUTHORS:20230328-705664700.8

Related works

Funding

NASA
20-LPS20-0005

Dates

Created
2023-06-08
Created from EPrint's datestamp field
Updated
2023-06-08
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
TAPIR