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Astron. Astrophys. 361, 407-414 (2000)
3. The power spectra and the simulation
For each image shown in Fig. 1 the 2-dimensional angular
correlation function was calculated
from the brightness distribution :
![[EQUATION]](img37.gif)
where bracket represents the
average over the whole area in each image shown in Fig. 1, and
. Then, the coordinates were
expressed in polar coordinates as ,
and the Fourier transforms in various radial directions were
calculated (i.e. is fixed for
each transform). One-dimensional power spectral density (PSD)
is calculated from
![[EQUATION]](img43.gif)
where f is spatial frequency
( ),
( ),
is the pixel size of the map, is the
largest angular size for which the angular correlation function is
evaluated, and . Note that the units
of the PSDs are the same as that of the angular correlation function:
. Finally, the PSDs were averaged
with respect to and are shown in
Fig. 2. It is noteworthy that the fluctuations at high
frequencies
( arcmin-1 for
90 µm, and
arcmin-1 for
170 µm) are smoothed by the instrumental beam and
therefore the PSDs decrease appreciably. The small error bars of PSDs
represent the standard deviation among a set of the PSDs with
different , showing that the PSDs are
almost independent of .
![[FIGURE]](img59.gif) |
Fig. 2. Fluctuation power spectral densities (PSDs) of 90 µm (top) and 170 µm (bottom) images. Open circles represent PSDs of LHEX and filled circles represent PSDs of LHNW. As well as the PSDs of the original images (Fig. 1) shown by circles connected by thin-solid lines, the PSDs of the residual images ("residual PSDs"), where the pixels containing bright sources above 150 mJy (90 µm), 250 mJy (170 µm) are masked, are also shown by circles alone. The brightest source (IRAS F10597+5723) located in LHEX significantly contributes to the PSDs of the LHEX images. The 1 error bars, shown only for the residual PSDs, represent the standard deviation in a set of the PSDs with different position angles in the sky. Thick line is an example of the IR cirrus PSD, which is an average spectrum of several IR cirrus in Ursa Major, with 100 µm brightness of 2-3 MJy/sr. Dotted lines are the IR cirrus PSDs in the Lockman Hole, estimated by assuming that the cirrus PSDs are proportional to , where is mean brightness of the cirrus cloud.
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In order to check the contributions from bright sources, the PSDs
are derived by masking circular regions with a
4 FWHM diameter around bright sources
with fluxes above :
mJy at
170 µm 1,
mJy at 90 µm. In
the following the resultant PSDs are called "residual PSDs", and are
also shown in Fig. 2. Interestingly, the residual PSD for each
image is more than half of the PSD of corresponding original image
with almost the same spectral shape, indicating that there remains
significant contribution from randomly distributed point sources with
fluxes below .
In Fig. 2 typical IR cirrus PSDs are also compared in order to
check the contribution of the IR cirrus to the PSDs of the Lockman
Hole 2. We
examined several IRAS 100 µm maps of high-latitude
clouds in Ursa Major ( ,
), which are reproduced from the IRAS
Sky Survey Atlas (ISSA) by reducing the brightness by a factor of
0.72, following the COBE/DIRBE calibration (Wheelock et al.
1994). The average brightness of the cirrus is 2-3 MJy/sr, and each
map is wide with
. The derived PSDs show a power-law
distribution with an index of -1.5. Gautier et al. (1992) noted
that one-dimensional analysis of the IR cirrus yielded spectral
indices near -2. These cirrus fluctuation spectra are much different
from those obtained for the Lockman Hole images at
90 µm, which show rather flat spectra at lower
spatial frequencies. The 170 µm spectra present a
slope similar to the IR cirrus one, but this can be explained by the
shape of the footprint power spectrum of ISOPHOT detectors. Moreover,
the fluctuation powers are much larger than those estimated for the IR
cirrus, which are also shown in Fig. 2. We assume that the cirrus
PSD is proportional to (Gautier
et al. 1992), and taking the mean brightness
of the IR cirrus in the Lockman Hole
as 0.33 MJy/sr at 90 µm and 1.0 MJy/sr at
170 µm. These values are estimated from the atomic
hydrogen column density of in LHEX
(Jahoda et al. 1990) and the COBE/DIRBE data analysis in the
Lockman Hole by Lagache et al. (1999, in their Table 4). We
can conclude that the IR cirrus contribution to the PSDs in the
Lockman Hole is negligible over all spatial frequencies
.
In the following we interpret the residual PSDs in terms of
unresolved point sources, probably galaxies. We neglect the spatial
correlation between galaxies, thus assuming that galaxies are randomly
distributed in the images. Then the residual PSD will be the product
of the footprint power spectrum of the ISOPHOT detector and the
fluctuation power due to the point sources, which is a white power
spectrum given by:
![[EQUATION]](img71.gif)
where is differential source
counts. From the residual PSDs observed, we derive
at 90 µm
( ) and
at 170 µm
( ), where the errors do not include
systematic ones due to uncertainties in the flux calibration. Lagache
& Puget (2000) reported the detection of
at 170 µm for the
Marano 1 field, after sources brighter than 100 mJy are removed.
Contribution from detected sources with fluxes between 100 mJy and 250
mJy is estimated to be about 7000 .
Thus the fluctuation power in the Lockman Hole due to the sources
fainter than 100 mJy is , which is
comparable to that observed in the Marano 1 field.
A simulation was performed by making 90 µm and
170 µm images made up only by galaxies with fluxes
between and
and calculating their PSDs. Here
galaxies are treated as point sources with a PSF specific to the
respective wavelength band of ISOPHOT. We used the image of the bright
IRAS source (F10507+5723) seen in LHEX images as the PSF. The number
of sources and their flux densities are controlled by the source
counts. We examined the non-evolution count model by Takeuchi
et al. (1999) and the scenario E by Guiderdoni et al.
(1998). We assume because the
fluctuations due to galaxies fainter than 10 mJy are negligible in
case of these models. The resulted PSDs are compared with the residual
PSDs in Fig. 3. These simulated PSDs are not sufficient to
explain the observed PSDs although the spectral shapes are quite
similar.
![[FIGURE]](img82.gif) |
Fig. 3. The residual PSDs of 90 µm (top) and 170 µm (bottom) images (open circles and filled circles, same as Fig. 2) are compared with the simulated PSDs based on various number counts models: dashed lines are PSDs of the simulated images by Guiderdoni et al. (1998) scenario E, while the dotted lines are those by Takeuchi et al. (1999) no-evolution. Thick gray lines are examples of the simulated images produced by simple double power-law number count models (see text for details).
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© European Southern Observatory (ESO) 2000
Online publication: October 2, 2000
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