2021
DOI: 10.1103/physrevd.103.023020
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Search for continuous gravitational waves from Fomalhaut b in the second Advanced LIGO observing run with a hidden Markov model

Abstract: Results are presented from a semicoherent search for continuous gravitational waves from a nearby neutron star candidate, Fomalhaut b, using data collected in the second observing run of Advanced LIGO. The search is based on a hidden Markov model scheme, capable of tracking signal frequency evolution from the star's secular spin down and stochastic timing noise simultaneously. The scheme is combined with a frequency domain matched filter (F-statistic), calculated coherently over five-day time stretches. The fr… Show more

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Cited by 22 publications
(44 citation statements)
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“…Reference [80] reports on a Viterbi search for CWs directed at Fomalhaut b, an astrophysical object whose exact nature is still surrounded by debate [94][95][96][97]. This search complements a previous one performed on Advanced LIGO O1 data using an F -statistic search assuming the standard deterministic evolution of a CW [98].…”
Section: Fomalhaut B Viterbi Searchmentioning
confidence: 99%
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“…Reference [80] reports on a Viterbi search for CWs directed at Fomalhaut b, an astrophysical object whose exact nature is still surrounded by debate [94][95][96][97]. This search complements a previous one performed on Advanced LIGO O1 data using an F -statistic search assuming the standard deterministic evolution of a CW [98].…”
Section: Fomalhaut B Viterbi Searchmentioning
confidence: 99%
“…The search looks for CW emission at once, twice and 4=3 of the rotational frequency of the targeted pulsars in order to address several emission mechanisms [4]. After assessing the subdominant role of spin-wandering on frequency evolution, a biased random walk is implemented in a similar manner to [80], selecting the maximum T coh allowed by the spindown rate of each pulsar so that the frequency evolution is within the range of the HMM.…”
Section: Hess Viterbi Searchmentioning
confidence: 99%
“…Figure 7 compares the distribution of κ computed from the Monte-Carlo samples using Equation (11) with the assumed prior of Equation (18). The Monte-Carlo distribution is a good fit to the prior for cos ι = 0, and a poor fit for cos ι ∼ 1; for the two signal populations where cos ι was randomly drawn, the fit is intermediate between the two extremes.…”
Section: Receiver-operator Curvesmentioning
confidence: 99%
“…Marginalisation of the likelihood ratio, in the form of Equation ( 12), over κ with the prior of Equation (18) gives the analytic expression…”
Section: Marginalisation Over κmentioning
confidence: 99%
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