Deep exploration for continuous gravitational waves at 171--172 Hz in LIGO second observing run data

Abstract

We pursue a novel strategy towards a first detection of continuous gravitational waves from rapidly-rotating deformed neutron stars. Computational power is focused on a narrow region of signal parameter space selected by a strategically-chosen benchmark. We search data from the 2nd observing run of the LIGO Observatory with an optimised analysis run on graphics processing units. While no continuous waves are detected, the search achieves a sensitivity to gravitational wave strain of $h_0=1.01\times 10^{-25}$ at 90% confidence, 24% to 69% better than past searches of the same parameter space. Constraints on neutron star deformity are within theoretical maxima, thus a detection by this search was not inconceivable.

8 pages, 4 figures; accepted for publication in Physical Review D; v2 corrects number of segments stated in Section IV

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• Search methods for continuous gravitational-wave signals from unknown sources in the advanced-detector era
• Search for continuous gravitational waves from 20 accreting millisecond X-ray pulsars in O3 LIGO data
• Status and perspectives of Continuous Gravitational Wave searches
• The search for continuous gravitational waves from small-ellipticity sources at low frequencies
• Application of a hierarchical MCMC follow-up to Advanced LIGO continuous gravitational-wave candidates
• Empirically estimating the distribution of the loudest candidate from a gravitational-wave search
• Graphics processing unit implementation of the F-statistic for continuous gravitational wave searches
• Geometric Approach to Analytic Marginalisation of the Likelihood Ratio for Continuous Gravitational Wave Searches
• Implementation of a new weave-based search pipeline for continuous gravitational waves from known binary systems
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• Searches for continuous gravitational waves from young supernova remnants in the early third observing run of Advanced LIGO and Virgo
• One-stop strategy to search for long-duration gravitational-wave signals
• Learning to detect continuous gravitational waves: an open data-analysis competition