 |  |
Astron. Astrophys. 333, 362-368 (1998)
5. Conclusion
Our power spectrum model is based on normal noise added to some
ideal function in the Fourier space, leading to a solar-like p-mode
power spectrum. This process is intended to picture a stochastically
driven oscillating system. We think that our simulation is realistic
enough, and we have been able through it to verify numerically the
corresponding theoretical predictions from Kumar. To use Monte Carlo
simulation for the computation of error bars brings a few
evidences:
- The presence of daily sidelobes of the eigenmode peaks
combined with a bad SNR and a blurred multiplet shape do decrease by a
factor 1.5 to 2 the precision of the frequency measurements for
2 and 3. and
are better because of the smaller impact of the
closest sidelobes and of the better SNR. The theoretical formula valid
for seems a good starting point in any
circumstances.
- Destructive interference between the real and imaginary parts of
the noise in the Fourier transform are important for the p-modes
parameters uncertainties. So are the interferences between different
peaks with comparable values of frequencies, such as sidelobes of the
and peak or between
split components. On a single realization they can generate a dramatic
variation of the spectral density shape, leading to absurd values for
the p-modes parameters and/or error bars. Monte Carlo simulations
cannot correct the initially biased estimation, but, as they do not
rely on the values of the parameters to derive the error-bars, they
will provide error bars that potentially allow the correct result to
fall in the interval.
As to the widths, the strategy of reducing the number of free
parameters helps very much in reducing the error-bars by a factor of 2
in the best case. This is encouragingly in favor of the "iterative"
fitting methods already designed for the collective splitting
measurements (Toutain et al. 1992, Lazrek et al. 1996), in which some
parameters of the vector are in turn locked,
then released, then locked again down to the entire convergence of all
the set.
The IRIS network was funded and is supported by the French Institut
National des Sciences de l'Univers (I.N.S.U.) and the Centre National
de la Recherche Scientifique (C.N.R.S.).
© European Southern Observatory (ESO) 1998
Online publication: April 15, 1998
helpdesk.link@springer.de  |