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Astron. Astrophys. 357, 1093-1104 (2000) 5. Power spectraA search for possible periodicities in the fluctuations of the NBPs light curves was performed using temporal power spectra. Before computing the power spectra, the light curves were detrended using a smoothing window of 600 s. A check on this procedure showed that changing the smoothing window between 360 s and 840 s affected the power at frequencies lower than 1.2 mHz, but without changing the frequency of the peaks. The power at higher frequencies remained unaffected. A power spectrum was computed for each light curve of the 11 NBPs
and of the 11 internetwork areas. To analyze the differences between
these two atmospheric components, we averaged separately the power
spectra over all of the NBPs and over all of the quiet regions. In
Fig. 4 we show some of these averaged curves. It must be remembered
that the NSO and MDI observations have different temporal coverage (50
and 180 minutes, respectively) and temporal resolution (12 s and
60 s), so that lower temporal frequencies are better represented in
the NiI series, while frequency coverage extends to higher frequencies
for ground-based data. However, the power at
We describe here the power spectra characteristics from lower
photospheric signatures to higher chromospheric ones. Intensity
fluctuations may be plausibly interpreted as temperature fluctuations
for photospheric LTE signatures such as Ni I or the
H
5.1. Photospheric signaturesIn Fig. 4a,b,d we show the power spectra of Ni I pseudo-continuum
intensity, Ni I velocity and H Table 3. Power values in arbitrary units for various observed features. A range of values is reported when variations are large. As is well known, the distribution of power for the photospheric velocity fluctuations is rather different from the one of pseudo-continuum intensity fluctuations (Fig. 4a,b). The velocity power is concentrated around the range of frequencies corresponding to the 5-minutes oscillations. The pseudo-continuum power spectrum peaks at low frequencies, around 1.5 mHz and then show a decay that might indicate the stochastic character of the granulation intensity variation, as already reported for the first time in Noyes (1967). As a global characteristic, power spectra computed in photospheric signatures do not show any significant difference between network and internetwork structures within the 50% confidence limit (Fig. 4a,b,d). This result is consistent with previous spectral observations by several authors (Deubner & Fleck 1990; Kulaczewski 1992; Lites et al. 1993) that analyzed both intensity and velocity oscillations in the photosphere for network and internetwork features. The power spectrum of the magnetic flux variations averaged over the NBPs is shown in Fig. 4c. Internetwork areas are not considered because the noise in the magnetic flux measure is too high for a reliable determination of fluctuations. Significant peaks are visible at low frequency (around 1.5 mHz), indicating long term evolution of the magnetic field, and around 3.5 mHz corresponding to the 5 minutes oscillations. A signal at the latter timescale might represent the magnetic response to oscillations already present in the photosphere and be of importance in the context of generation and dissipation of MHD waves in the solar atmosphere (Ulrich 1996). Observations of flux variations in small magnetic structures are scarce in the literature, but we can compare this result with those presented by Norton et al. (1999), that used a similar set of MDI data obtained in the area of a big sunspot. They found a significant peak near 5 min only for structures whose magnetic flux density exceeded 600 G, while the points we analyzed had a maximum value of about 300 G. 5.2. Chromospheric signaturesThe intensity power spectra computed in chromospheric signatures display strong differences between NBPs and internetwork as shown in Fig. 4e,f. We will analyze in detail these differences, keeping in mind that the regime of oscillations changes with height in the chromosphere. First of all we notice that the power spectrum of internetwork intensity fluctuations in NaD2 shares some characteristics with the photospheric NiI velocity power spectrum rather than with the one of Ni I intensity. In particular the strongest peak appears around 3.5 mHz, while the enhanced low frequency component, typical of photospheric intensity power spectra, is lacking. This characteristic could be explained if the intensity fluctuations in the NaD2 line center were related more to velocity than to temperature perturbations. This might be indirectly confirmed by the results of Pallé et al. (1999) in their study of the current performances of the GOLF experiment on SOHO. In determining the relative contributions of velocity and intensity signals to the intensity variations measured in the blue wings (-100 mÅ) of the sodium doublet, they conclude that the effect due to "pure" intensity changes is only 14% that of velocity changes for the p - mode frequency range. Since the width of the filter used for our observations includes that same portion of the line wing, this conclusion might apply, at least partially, also to our case. Comparing network and internetwork power spectra for
NaD2, we see that the power of the NBPs is smaller than the
corresponding power for internetwork at each temporal frequency. In
particular, even if both NBPs and internetwork points show a maximum
around 3.5 mHz, the power at this frequency is almost an order of
magnitude smaller in the NBPs. (Fig. 4d suggests that this effect
might be already present in the wings of
H The power spectrum computed for the intensity of
H The spectrum of NBPs in H Characteristics of power spectra for network and internetwork are summarized in Table 3 for the two relevant frequency windows 1.5-2.5 mHz and 3-4 mHz. ![]() ![]() ![]() ![]() © European Southern Observatory (ESO) 2000 Online publication: June 5, 2000 ![]() |