Method to estimate ISCO and ring-down frequencies in binary systems and consequences for gravitational wave data analysis

Details Method to estimate ISCO and ring-down frequencies in binary systems and consequences for gravitational wave data analysis Method to estimate ISCO and ring-down frequencies in binary systems and consequences for gravitational wave data analysis

2008-01-28

arxiv.org/abs/0801.4297v2

Class.Quant.Grav.26:015009,2009

Astronomy and Astrophysics

Astrophysics

General Relativity and Quantum Cosmology

Added references to section 3 14 pages 5 figures. Submitted to Classical and Quantum Gravity

Scientific paper

Recent advances in the description of compact binary systems have produced gravitational waveforms that include inspiral, merger and ring-down phases. Comparing results from numerical simulations with those of post-Newtonian (PN), and related, expansions has provided motivation for employing PN waveforms in near merger epochs when searching for gravitational waves and has encouraged the development of analytic fits to full numerical waveforms. The models and simulations do not yet cover the full binary coalescence parameter space. For these yet un-simulated regions, data analysts can still conduct separate inspiral, merger and ring-down searches. Improved knowledge about the end of the inspiral phase, the beginning of the merger, and the ring-down frequencies could increase the efficiency of both coherent inspiral-merger-ring-down (IMR) searches and searches over each phase separately. Insight can be gained for all three cases through a recently presented theoretical calculation, which, corroborated by the numerical results, provides an implicit formula for the final spin of the merged black holes, accurate to within 10% over a large parameter space. Knowledge of the final spin allows one to predict the end of the inspiral phase and the quasinormal mode ring-down frequencies, and in turn provides information about the bandwidth and duration of the merger. In this work we will discuss a few of the implications of this calculation for data analysis.

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