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• W2017788383 abstract "We present theory and algorithms to perform an all-sky coherent search for periodic signals of gravitational waves in narrow-band data of a detector. Our search is based on a statistic, commonly called the $mathcal{F}$-statistic, derived from the maximum-likelihood principle in Paper I of this series. We briefly review the response of a ground-based detector to the gravitational-wave signal from a rotating neuron star and the derivation of the $mathcal{F}$-statistic. We present several algorithms to calculate efficiently this statistic. In particular our algorithms are such that one can take advantage of the speed of fast Fourier transform in calculation of the $mathcal{F}$-statistic. We construct a grid in the parameter space such that the nodes of the grid coincide with the Fourier frequencies. We present interpolation methods that approximately convert the two integrals in the $mathcal{F}$-statistic into Fourier transforms so that the fast Fourier transform algorithm can be applied in their evaluation. We have implemented our methods and algorithms into computer codes and we present results of the Monte Carlo simulations performed to test these codes." @default.
• W2017788383 created "2016-06-24" @default.
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• W2017788383 date "2010-07-28" @default.
• W2017788383 modified "2023-10-05" @default.
• W2017788383 title "Data analysis of gravitational-wave signals from spinning neutron stars. V. A narrow-band all-sky search" @default.
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• W2017788383 doi "https://doi.org/10.1103/physrevd.82.022005" @default.
• W2017788383 hasPublicationYear "2010" @default.
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