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Published November 15, 2022 | Published
Journal Article Open

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

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.

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Published - PhysRevD.106.104051.pdf

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Additional details

Created:
August 20, 2023
Modified:
October 23, 2023