ausblenden:
Schlagwörter:
Physics, Data Analysis, Statistics and Probability, physics.data-an,General Relativity and Quantum Cosmology, gr-qc
Zusammenfassung:
Gravitational-wave searches for signals from inspiralling compact binaries
have relied on matched filtering banks of waveforms (called template banks) to
try to extract the signal waveforms from the detector data. These template
banks have been constructed using four main considerations, the region of
parameter space of interest, the sensitivity of the detector, the matched
filtering bandwidth, and the sensitivity one is willing to lose due to the
granularity of template placement, the latter of which is governed by the
minimal match. In this work we describe how the choice of the lower frequency
cutoff, the lower end of the matched filter frequency band, can be optimized
for detection. We also show how the minimal match can be optimally chosen in
the case of limited computational resources. These techniques are applied to
searches for binary neutron star signals that have been previously performed
when analyzing Initial LIGO and Virgo data and will be performed analyzing
Advanced LIGO and Advanced Virgo data using the expected detector sensitivity.
By following the algorithms put forward here, the volume sensitivity of these
searches is predicted to improve without increasing the computational cost of
performing the search.