Journal
PHYSICAL REVIEW D
Volume 90, Issue 8, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.90.082004
Keywords
-
Funding
- International Max-Planck Research School on Gravitational-Wave Astronomy
- Pursuit program and Office of Undergraduate Research of ACU
- National Science Foundation [PHY-0847611, PHY-0854812]
- Research Corporation for Science Advancement
- NSF [PHY-1040231, PHY-1104371]
- Division Of Physics
- Direct For Mathematical & Physical Scien [1404395] Funding Source: National Science Foundation
- Office of Advanced Cyberinfrastructure (OAC)
- Direct For Computer & Info Scie & Enginr [1341006] Funding Source: National Science Foundation
Ask authors/readers for more resources
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 nonspinning 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 nonprecessing black hole spins, for dimensionless spin components along the orbital angular momentum uniformly distributed in (-1, 1), the sensitive volume of the search with aligned-spin templates is increased by similar to 50% compared to the nonspinning search; for signals with aligned spins uniformly distributed in the range (0.7,1), the increase in sensitive volume is a factor of similar to 10.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available