Implementing a search for aligned-spin neutron star -- black hole systems with advanced ground based gravitational wave detectors
Tito Dal Canton, Alexander H. Nitz, Andrew P. Lundgren, Alex B., Nielsen, Duncan A. Brown, Thomas Dent, Ian W. Harry, Badri Krishnan, Andrew, J. Miller, Karl Wette, Karsten Wiesner, Joshua L. Willis

TL;DR
This study evaluates the impact of including aligned-spin effects in gravitational wave searches for neutron star--black hole binaries, demonstrating significant improvements in detection sensitivity using advanced LIGO data and specialized software.
Contribution
It introduces a new search pipeline incorporating aligned-spin templates and compares its performance to non-spinning templates, showing enhanced detection capabilities.
Findings
Aligned-spin templates increase search sensitive volume by ~50%.
High aligned spins (0.7 to 1) boost sensitive volume by a factor of ~10.
Implementation of the pipeline in PyCBC facilitates advanced data analysis.
Abstract
We study the effect of spins on searches for gravitational waves from compact binary coalescences in realistic simulated early advanced LIGO data. We construct a detection pipeline including matched filtering, signal-based vetoes, a coincidence test between different detectors, and an estimate of the rate of background events. We restrict attention to neutron star--black hole (NS-BH) binary systems, and we compare a search using non-spinning templates to one using templates that include spins aligned with the orbital angular momentum. To run the searches we implement the binary inspiral matched-filter computation in PyCBC, a new software toolkit for gravitational-wave data analysis. We find that the inclusion of aligned-spin effects significantly increases the astrophysical reach of the search. Considering astrophysical NS-BH systems with non-precessing black hole spins, for…
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