The information content of gravitational wave harmonics in compact binary inspiral

Details The information content of gravitational wave harmonics in compact binary inspiral The information content of gravitational wave harmonics in compact binary inspiral

2002-07-25

arxiv.org/abs/gr-qc/0207102v1

Class.Quant.Grav. 20 (2003) S181-S192

Astronomy and Astrophysics

Astrophysics

General Relativity and Quantum Cosmology

13 pages, 5 figures

Scientific paper

10.1088/0264-9381/20/10/321

The nonlinear aspect of gravitational wave generation that produces power at harmonics of the orbital frequency, above the fundamental quadrupole frequency, is examined to see what information about the source is contained in these higher harmonics. We use an order (4/2) post-Newtonian expansion of the gravitational wave waveform of a binary system to model the signal seen in a spaceborne gravitational wave detector such as the proposed LISA detector. Covariance studies are then performed to determine the ultimate accuracy to be expected when the parameters of the source are fit to the received signal. We find three areas where the higher harmonics contribute crucial information that breaks degeneracies in the model and allows otherwise badly-correlated parameters to be separated and determined. First, we find that the position of a coalescing massive black hole binary in an ecliptic plane detector, such as OMEGA, is well-determined with the help of these harmonics. Second, we find that the individual masses of the stars in a chirping neutron star binary can be separated because of the mass dependence of the harmonic contributions to the wave. Finally, we note that supermassive black hole binaries, whose frequencies are too low to be seen in the detector sensitivity window for long, may still have their masses, distances, and positions determined since the information content of the higher harmonics compensates for the information lost when the orbit-induced modulation of the signal does not last long enough to be apparent in the data.

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