Sinusoidal sensitivity is traditionally stated as the amplitude h of a sinusoidal GW required to achieve a
specified SNR, as a function of Fourier frequency [18
, 107, 16
]. Conventionally, the signal is
averaged over the sky and over polarization state [49
, 120
, 16]. Figure 19
shows the all-sky
sensitivity based on a smoothed version of the actual spectrum (black curve) for the Cassini
2001 – 2002 observation. Cassini achieves
10–16 all-sky sensitivity over a fairly broad Fourier
band.
|
Early searches for periodic waves involved short duration observations (several hours to a few days; see,
e.g., [4, 18
]) and thus ignorable modulation of an astronomical sinusoid due to changing geometry
(non-time-shift-invariance of the GW transfer function; see Section 3). A true fixed-frequency signal would
be reflected in the spectrum of the (noisy) Doppler times series as a “Rice-squared” random
variable [91] at the signal frequency. Subsequent observations were over 10 – 40 days and the time
dependence of the earth-spacecraft-source geometry became important: A sinusoidal excitation
would be modulated into a non-sinusoidal Doppler response with power typically smeared over a
few Fourier frequency resolution bins. Non-negligible modulation has both advantages and
disadvantages. An advantage is that a real GW signal has a source-location-dependent signature in
the data and this can be used to verify or refute an astronomical origin of a candidate. The
disadvantage is that a simple spectral analysis is not sufficient for optimum detection (SNR
losses of the simple spectral analysis technique are frequency and geometry dependent but can
be
3 dB or more in some observations) and the computational cost to search for even a
simple astronomical-origin sinusoid becomes larger. Searches to date have addressed this with a
hierarchical approach to the data analysis. First a suboptimal-but-simple spectral analysis is
done. Candidates are then identified using an SNR threshold which is high enough to exclude
Fourier components which, even with proper analysis, would be too weak to be classified as
other-than-noise. The idea is to use a computationally inexpensive procedure (i.e. FFTs) to exclude
candidates which could not, in principle, be raised to a reasonable threshold SNR even with
accurate matched filtering. The frequencies of candidate signals passing the threshold are saved
and matched filters are constructed using the known time-dependence of the earth-spacecraft
geometry and for 20 points on the sky (the vertices of a dodecahedron projected onto the celestial
sphere9.)
Linear chirp processing adds an additional parameter (chirp rate) and requires detection thresholds to
be set higher. In both the sinusoidal and chirp analyses, the pdfs of signal power have been used to assess
candidates (see, e.g., [18, 3, 25]). Non-linear chirps, if source parameters are favorable, could be strong
candidate signals. Analysis methods, anticipated sensitivity, and detection range for Cassini are discussed
in [31
].
Calculations of Doppler response to GWs from a nonrelativistic binary system [120] show that the observed Doppler waveform can have a rich harmonic content. Monte Carlo calculations of GW strength from stars in highly elliptical orbits around the Galaxy’s central black hole have been given in [50]. For these stellar-mass secondaries generate wave amplitudes more than an order of magnitude weaker than Cassini-era Doppler sensitivity.
| http://www.livingreviews.org/lrr-2006-1 | This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 Germany License. Problems/comments to |