How would GW150914 look with future gravitational wave detector networks?

Gaebel, S.M. and Veitch, J. (2017) How would GW150914 look with future gravitational wave detector networks? Classical and Quantum Gravity, 34, 174003. (doi: 10.1088/1361-6382/aa82d9)

Abstract

The first detected gravitational wave signal, GW150914 (Abbott et al 2016 Phys. Rev. Lett. 116 061102), was produced by the coalescence of a stellar-mass binary black hole. Along with the subsequent detection of GW151226, GW170104 and the candidate event LVT151012, this gives us evidence for a population of black hole binaries with component masses in the tens of solar masses (Abbott et al 2016 Phys. Rev. X 6 041015). As detector sensitivity improves, this type of source is expected to make a large contribution to the overall number of detections, but has received little attention compared to binary neutron star systems in studies of projected network performance. We simulate the observation of a system like GW150914 with different proposed network configurations, and study the precision of parameter estimates, particularly source location, orientation and masses. We find that the improvements to low frequency sensitivity that are expected with continued commissioning (Abbott et al 2016 Living Rev. Relativ. 19 1) will improve the precision of chirp mass estimates by an order of magnitude, whereas the improvements in sky location and orientation are driven by the expanded network configuration. This demonstrates that both sensitivity and number of detectors will be important factors in the scientific potential of second generation detector networks.

• Item Type: Articles
• Additional Information: JV and SG were supported by STFC grants ST/K005014/1 and ST/M004090/1 respectively.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Veitch, Dr John
• Authors: Gaebel, S.M., and Veitch, J.
• College/School: College of Science and Engineering > School of Physics and Astronomy
• Journal Name: Classical and Quantum Gravity
• Publisher: IOP Publishing
• ISSN: 0264-9381
• ISSN (Online): 1361-6382