Application of asymptotic expansions for maximum likelihood estimators errors to gravitational waves from binary mergers: The single interferometer case
- Embry-Riddle Aeronautical University, 3700 Willow Creek Road, Prescott, Arizona, 86301 (United States)
- Massachusetts Institute of Technology, 77 Mass Ave, Cambridge, Massachusetts, 02139 (United States)
In this paper we apply to gravitational waves (GW) from the inspiral phase of binary systems a recently derived frequentist methodology to calculate analytically the error for a maximum likelihood estimate of physical parameters. We use expansions of the covariance and the bias of a maximum likelihood estimate in terms of inverse powers of the signal-to-noise ration (SNR)s where the square root of the first order in the covariance expansion is the Cramer Rao lower bound (CRLB). We evaluate the expansions, for the first time, for GW signals in noises of GW interferometers. The examples are limited to a single, optimally oriented, interferometer. We also compare the error estimates using the first two orders of the expansions with existing numerical Monte Carlo simulations. The first two orders of the covariance allow us to get error predictions closer to what is observed in numerical simulations than the CRLB. The methodology also predicts a necessary SNR to approximate the error with the CRLB and provides new insight on the relationship between waveform properties, SNR, dimension of the parameter space and estimation errors. For example the timing match filtering can achieve the CRLB only if the SNR is larger than the Kurtosis of the gravitational wave spectrum and the necessary SNR is much larger if other physical parameters are also unknown.
- OSTI ID:
- 21413232
- Journal Information:
- Physical Review. D, Particles Fields, Vol. 81, Issue 12; Other Information: DOI: 10.1103/PhysRevD.81.124048; (c) 2010 The American Physical Society; ISSN 0556-2821
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
79 ASTROPHYSICS
COSMOLOGY AND ASTRONOMY
APPROXIMATIONS
ASYMPTOTIC SOLUTIONS
COMPARATIVE EVALUATIONS
COMPUTERIZED SIMULATION
DISTRIBUTION
EXPANSION
FORECASTING
GRAVITATIONAL WAVES
INTERFEROMETERS
MAXIMUM-LIKELIHOOD FIT
MONTE CARLO METHOD
NOISE
SPECTRA
WAVE FORMS
CALCULATION METHODS
EVALUATION
MATHEMATICAL SOLUTIONS
MEASURING INSTRUMENTS
NUMERICAL SOLUTION
SIMULATION