Non-sky-averaged sensitivity curves for space-based gravitational-wave observatories
Michele Vallisneri, Chad R. Galley

TL;DR
This paper introduces a method to accurately compute non-sky-averaged sensitivity curves for space-based gravitational-wave detectors, providing statistical error bars and insights into source detectability.
Contribution
It presents a straightforward recipe for calculating non-sky-averaged sensitivities with error estimates, improving upon traditional sky-averaged approaches for space-based GW observatories.
Findings
Detector motion reduces sensitivity variability across sources.
The average sensitivity remains consistent whether or not orbital motion is included.
Sensitivity distributions are tighter for moving detectors, with 50% of sources within 30% of the mean.
Abstract
(abridged) The signal-to-noise ratio (SNR) is used in gravitational-wave observations as the basic figure of merit for detection confidence and, together with the Fisher matrix, for the amount of physical information that can be extracted from a detected signal. SNRs are usually computed from a sensitivity curve, which describes the gravitational-wave amplitude needed by a monochromatic source of given frequency to achieve a threshold SNR. For interferometric space-based detectors similar to LISA, which are sensitive to long-lived signals and have constantly changing position and orientation, exact SNRs need to be computed on a source-by-source basis. For convenience, most authors prefer to work with sky-averaged sensitivities, accepting inaccurate SNRs for individual sources and giving up control over the statistical distribution of SNRs for source populations. In this paper, we…
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