Searching for periodic sources with LIGO
Patrick R. Brady, Teviet Creighton, Curt Cutler, Bernard F. Schutz

TL;DR
This paper analyzes the computational challenges of all-sky, all-frequency gravitational wave searches from spinning neutron stars using LIGO data, proposing a parameter-space metric to optimize search strategies.
Contribution
It introduces a metric on the parameter space to determine optimal search grid spacing, enabling efficient all-sky gravitational wave searches with LIGO data.
Findings
Number of parameter-space points Np(T) depends on observation time and maximum frequency.
Detection threshold increases with the number of searched parameter points.
For T=10^7 s, detection threshold is 4-5 times h(3/yr).
Abstract
We investigate the computational requirements for all-sky, all-frequency searches for gravitational waves from spinning neutron stars, using archived data from interferometric gravitational wave detectors such as LIGO. These sources are expected to be weak, so the optimal strategy involves coherent accumulaton of signal-to-noise using Fourier transforms of long stretches of data (months to years). Earth-motion-induced Doppler shifts, and intrinsic pulsar spindown, will reduce the narrow-band signal-to-noise by spreading power across many frequency bins; therefore, it is necessary to correct for these effects before performing the Fourier transform. The corrections can be implemented by a parametrized model, in which one does a search over a discrete set of parameter values. We define a metric on this parameter space, which can be used to determine the optimal spacing between points in a…
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