A&A 437, 823-835 (2005)
DOI: 10.1051/0004-6361:20042198
R. Rekola 1 - H. Jerjen 2 - C. Flynn 1
1 - Tuorla Observatory, VISPA, University of Turku, Väisäläntie 20,
21500 Piikkiö, Finland
2 -
Research School of Astronomy and Astrophysics, The Australian National
University, Mt Stromlo Observatory, Cotter Road, Weston ACT 2611, Australia
Received 18 October 2004 / Accepted 8 March 2005
Abstract
We present Surface Brightness Fluctuation distances of nine
early-type dwarf galaxies and the S0 galaxy NGC 4150 in the Local Volume
based on deep B- and R-band CCD images obtained with the 2.56 m
Nordic Optical Telescope. Typically, six stellar fields at various
galactocentric distances have been chosen for each galaxy as appropriately
free of foreground stars and other contaminants, and Fourier analysed to
determine the distances, which are found to lie in the range of 3 to
16 Mpc. The SBF method is thus demonstrated to efficiently measure
distances from the ground with mid-aperture telescopes for galaxies for
which only the tip of the red giant branch method in combination with the
Hubble Space Telescope has been available until now. We obtained the
following distance moduli:
mag (or
Mpc) for UGC 1703,
mag (or
Mpc) for KDG 61,
mag (or
Mpc) for UGCA 200,
mag (or
Mpc) for UGC 5442,
mag (or
Mpc) for UGC 5944,
mag (or
Mpc) for NGC 4150,
mag (or
Mpc) for BTS 128,
mag (or
Mpc) for UGC 7639,
mag (or
Mpc) for UGC 8799
with an alternative distance of
mag (or
Mpc),
and
mag (or
Mpc) for UGC 8882.
Key words: galaxies: dwarf - galaxies: stellar content - galaxies: structure - galaxies: distances and redshifts
Determining distances to galaxies of this type has been a challenge. They have only very little or no neutral hydrogen gas, preventing their detection in the radio at 21 cm and their low surface brightness makes optical spectroscopy feasible only for the few brightest objects (Jerjen et al. 2000b). Instead, distances must be estimated from their stellar content. Taking advantage of the absence of the atmosphere, the Hubble Space Telescope (HST) is used to resolve dEs into stars and to measure the tip of the red giant branch (TRGB) magnitude (Karachentsev et al. 2000). However, this method is expensive in terms of integration time and becomes progressively difficult beyond a few Mpc due to crowding effects.
The Surface Brightness Fluctuation method can be applied to unresolved galaxies and thus offers an alternative to efficiently measure distances of dEs out to 10 Mpc and beyond (e.g. Jerjen 2003). The method was originally introduced by Tonry & Schneider (1988) to measure distances to high surface brightness elliptical galaxies. For low surface brightness dEs the method was developed (Jerjen et al. 1998, 2000b) and calibrated (Jerjen et al. 2001) only recently. It is based on the discrete sampling of the unresolved stellar population of a galaxy with the CCD detector and the resulting pixel-to-pixel variance due to the statistical noise in numbers of red giant branch (RGB) stars.
We can report here on new SBF distances for 10 nearby galaxies as part of our
continuing project to map the galaxy groups and clouds beyond the Local Group
out to
10 Mpc. We have studied nine dEs and one S0 type of galaxy in
the northern hemisphere. In Table 1 we give a complete list of our
galaxy sample including galaxy name, associated environment, morphological
type within the extended Hubble classification system (Sandage & Binggeli
1984), and coordinates. UGC 1703 is a field galaxy in the direction of
NGC 784, KDG 61 and UGC 5442 are members of the M 81 group, UGCA 200 has been
assumed to be a companion of NGC 3115 but we cannot confirm this assumption,
UGC 5944 is a member of the Leo I group, NGC 4150 (the S0 galaxy) lies in the
direction of the Canes Venatici I cloud (CVn I) - probably behind it, BTS 128
is a member of the Coma I group, UGC 7639 is a member of the Canes
Venatici II cloud (CVn II), UGC 8882 is a member of the M101 group, and
UGC 8799 may lie at the outskirts of the Virgo I cluster.
In Sect. 2, we describe the observations and data reduction. The SBF analysis is presented in Sect. 3. Individual galaxies are discussed in Sect. 4. Finally, we present the summary and draw the conclusions of this work in Sect. 5.
Table 1: The sample of nearby early-type galaxies.
Table 2: Summary of observations.
Image reduction was accomplished using routines within the
IRAF
programme. We
removed the bias level from the images by using the bias frames and
the overscan region of each image. Images were subsequently trimmed to
2000
2000 pixels to remove non-essential data from the borders.
Finally, each object image was divided by the corresponding median combined
masterflat. Photometric calibration was achieved using the Landolt (1992)
standard star fields, which were regularly observed during each night.
Thus we determined the photometric zero point (ZP), atmospheric extinction
coefficient (k) and colour term (c) for each passband and night.
Analysis revealed slight variation in extinction coefficients throughout
the observation period. The mean k value was calculated for each passband
and the corresponding values of ZP and c were re-evaluated under
this constraint. The results are summarised in Table 3. Images
taken during the nights of 20 Jan. and 4 Feb. 2002 (UGC 1703, UGC 5944) were
calibrated with shallow images obtained on 26 Feb. 2003.
B and R images of each galaxy were registered by matching the positions of typically 50 reference stars spread evenly over the image. The alignment was done on a pixel scale in order to avoid dividing galaxy flux in subpixel shifts. The resulting slight degradation of image quality is insignificant in relation to the seeing effects in the images. The sky background level was estimated by fitting a plane to selected star-free areas distributed uniformly over the CCD area but well away from the galaxy. The sky-subtracted images taken in the same passband were cleaned of cosmic rays and median-combined to increase the signal-to-noise. Finally, the resulting master images were flux calibrated.
Table 3: Photometric calibration coefficients.
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Figure 1:
Reduced R-band images of the ten sample galaxies
with the boundaries of the analysed square SBF fields indicated.
The field-of-view is
|
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Any non-radial irregularities in the light distribution of a galaxy such as the detected spiral arms and dust features in NGC 4150 remain visible in the residual image (see Fig. 2). These parts of a galaxy were avoided in the SBF field selection. Only regions where the model follows closely the galaxy light distribution were used.
The largest possible number of slightly overlapping square subimages
(hereafter SBF fields) were then defined for each galaxy. The size of the
SBF fields was chosen between
and
pixels depending
on the apparent diameter of the galaxy. Parts of a SBF field that were
contaminated by foreground stars or background galaxies were replaced with
randomly selected patches from the fluctuation image, lying outside the field
and in the same surface brightness range of the galaxy. The number of patched
pixels was 3% or less of the total SBF field area in all cases. In total we
defined 61 SBF fields in our 10 sample galaxies. Their positions across the
galaxy images are shown in Fig. 1.
All SBF fields were Fourier transformed and the azimuthally averaged power
spectra calculated. From isolated bright stars on the galaxy master image we
determined the point spread function (PSF) profile. We then fitted a linear
combination of the flux normalized and exposure time weighted PSF power
spectrum and a constant at the observed galaxy power spectrum
,
demanding a least
squares minimization. Data points at low spatial frequencies (
)
were
omitted as they are likely affected by imperfect galaxy model subtraction.
Figures 3 to 9 and 11 to 13 show
the power spectrum of each SBF field with the best fitting analytic function
indicated as solid lines. Table 4 summarizes the quantities
measured in the SBF analysis:
Col. 1 - SBF field number and galaxy name,
Col. 2 - pixel size of the SBF field,
Col. 3 - magnitude m1 of a star yielding 1 ADU per second on the CCD,
Col. 4 - mean galaxy surface brightness within the SBF field in ADU,
Col. 5 - sky brightness in ADU,
Col. 6 - exposure time normalized amplitude P0 of the best least
squares fit at wavenumber k=0 with fitting error in brackets,
Col. 7 - the scale-free white noise component P1 in the power spectrum,
indicating the ratio of sky to mean galaxy surface brightness within the
SBF field.
To estimate the fraction in P0 (Col. 6) from unresolved distant background
galaxies fainter than the cutoff magnitude
R mag, we made
use of a formula that was given in Jensen et al. (1998) and adjusted for the
R-band by Jerjen et al. (2001):
where p is the CCD pixel size in arcsec and
the slope of the power-law number distribution for background galaxies
in the K-band (Cowie et al. 1994). Assuming a typical galaxy colour of
(R-K)=2.25 (de Jong 1996) we computed
and determined the
signal-to-noise
as well as the
relative contribution to the signal
for each individual SBF
field. Both numbers are listed in Col. 8 and Col. 9 of
Table 4. The contribution from unresolved background
galaxies was minimal at the 0-6 per cent level in our SBF fields.
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Figure 2: After subtracting the best-fitting model of the global light distribution a well developed 4-armed spiral structure and traces of dust in the central region become visible in the residual image of NGC 4150. These findings confirm the morphological type of S0/Sa for this galaxy. |
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Figure 3:
Left: five fields were selected for the SBF analysis in UGC 1703.
The signal-to-noise in the power spectra is generally high. The power spectra
of the SBF fields (filled circles) are well fitted by the sum (solid line) of
a scaled version of the power spectrum of the PSF and a constant (dashed
lines). The wavenumbers 1-4 were not considered for the fit.
Right: the fluctuation magnitudes
|
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Figure 4:
Left: six fields were selected for the SBF analysis in KDG 61. The power
spectra of the SBF fields (filled circles) are well fitted by the sum (solid
line) of a scaled version of the power spectrum of the PSF and a constant
(dashed lines). The wavenumbers 1-4 were not considered for the fit.
Right: the fluctuation magnitudes
|
| Open with DEXTER | |
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Figure 5:
Left: five fields were selected for the SBF analysis in UGCA 200. The power
spectra of the SBF fields (filled circles) are well fitted by the sum (solid
line) of a scaled version of the power spectrum of the PSF and a constant
(dashed lines). The wavenumbers 1-4 were not considered for the fit.
Right: the fluctuation magnitudes
|
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Figure 6: Left: six fields were selected for the SBF analysis in UGC 5442. The power spectra of the SBF fields (filled circles) are well fitted by the sum (solid line) of a scaled version of the power spectrum of the PSF and a constant (dashed lines). The wavenumbers 1-4 were not considered for the fit. Right: six fields were analysed to derive the distance of UGC 5442. A shift by 27.74 mag yields the best fit of the data to the calibration diagram. |
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Figure 7: Left: five fields were selected for the SBF analysis in UGC 5944. The signal-to-noise in the power spectra is not as high as measured in the other galaxies due to the larger distance of the galaxy at 11.1 Mpc. Nevertheless, the power spectra of the SBF fields (filled circles) are well fitted by the sum (solid line) of a scaled version of the power spectrum of the PSF and a constant (dashed lines). The wavenumbers 1-4 were not considered for the fit. Right: five fields were analysed to derive the distance of UGC 5944. A shift by 30.22 mag yields the best fit of the data to the calibration diagram. |
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Figure 8: Left: six fields were selected for the SBF analysis in NGC 4150. The signal-to-noise in the power spectra is not as high as measured in the other galaxies, as it is more distant. Nevertheless, the power spectra of the SBF fields (filled circles) are well fitted by the sum (solid line) of a scaled version of the power spectrum of the PSF and a constant (dashed lines). The wavenumbers 1-4 were not considered for the fit. Right: six fields were analysed to derive the distance of NGC 4150. A shift by 30.79 mag yields the best fit of the data to the calibration diagram. |
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Figure 9: Left: six fields were selected for the SBF analysis in BTS 128. The power spectra of the SBF fields (filled circles) are well fitted by the sum (solid line) of a scaled version of the power spectrum of the PSF and a constant (dashed lines). The wavenumbers 1-4 were not considered for the fit. Right: six fields were analysed to derive the distance of BTS 128. A shift by 31.02 mag yields the best fit of the data to the calibration diagram. |
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Another potentially significant source of unwanted fluctuations is a rich
globular cluster (GC) system in a target galaxy. While this is an important
issue for luminous giant ellipticals the expected number of GCs in our dwarf
ellipticals is quite small. For instance, the net number of globular cluster
candidates for UGC 5944 in the Leo Group is
(Miller et al. 1998).
The GC frequency (SN)-luminosity relation
for dE,Ns studied in the Fornax and Virgo clusters (Miller et al. 1998)
predicts
18 GCs (assuming SN=2) for our brightest dwarf
NGC 4150 (
)
and
0 GCs (assuming SN=10) for
the faintest dwarf UGC 5442 (
). All GCs would be brighter
than our cutoff luminosity and thus be excised during the image cleaning
process. Therefore, no further corrections were applied to the measured SBF
power.
Finally, we calculated the stellar fluctuation magnitude
with the formula
and
measured the (B-R) colour for each SBF field from the cleaned B and R galaxy master images. Both quantities were corrected for
foreground extinction using the IRAS/DIRBE maps of dust IR emission
(Schlegel et al. 1998). The results are listed in
Cols. 3 and 4 of Table 5.
The power spectrum fitting error is between 3 and 15%. Other
sources of minor errors are the PSF normalization (
2%),
the shape variation of the stellar PSF over the CCD area (1-2%)
and the uncertainty in the photometric calibration (0.04 mag in B,
0.03 mag in R). If we further adopt a 16% error for the foreground
extinction (Schlegel et al. 1998), the formal combined error for a
single
measurement is between 0.05 and 0.20 mag
(Col. 3). The error associated with the local colour (Col. 4)
has been obtained through the usual error propagation
formula from the uncertainties in the sky level determination,
the photometry zero points, and Galactic extinction.
modulus of
mag (see Fig. 6,
right panel) is in good agreement with the TRGB result. Due to the small
colour range covered by the SBF fields (see Table 5), another
SBF distance is technically possible by moving the data points onto the linear
branch of the calibration curve. However, the alternative distance modulus of
mag is inconsistent with the TRGB result.
Table 4: Parameters of the SBF analysis.
Table 5: Fluctuation magnitudes and local colours for each SBF field in the dwarfs after correction for Galactic extinction.
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Figure 10: Residual R-band image of UGC 7639 with the eight SBF fields indicated. |
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Our SBF distances are given in Table 6 together with
heliocentric radial velocities and radial velocities relative to the
centre of mass of the Local Group of galaxies. The latter were calculated
from heliocentric radial velocities following de Vaucouleurs et al. (1991)
and using our distances to the galaxies. The Local Group centre of
mass was assumed to lie exactly half way between the Milky Way
and M31. The SBF distance to velocity relation positions BTS 128, UGC 7639
and UGC 8799 quite well on the Hubble flow. This is not the case with
NGC 4150, KDG 61 and UGC 5442.
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Figure 11: Left: eight fields were selected for the SBF analysis in UGC 7639. The signal-to-noise in the power spectra is high. The power spectra of the SBF fields (filled circles) are well fitted by the sum (solid line) of a scaled version of the power spectrum of the PSF and a constant (dashed lines). The wavenumbers 1-4 were not considered for the fit. Right: eight fields were analysed to derive the distance of UGC 7639. A shift by 29.27 mag yields the best fit of the data to the calibration diagram. |
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Figure 12:
Left: six fields were selected for the SBF analysis in UGC 8799. The
signal-to-noise in the power spectra is not as high as measured in the other
galaxies due to the larger distance of the galaxy at |
| Open with DEXTER | |
Our SBF distance to NGC 4150 of
Mpc is in good agreement
with earlier SBF distances (Tonry et al. 2001; Jensen et al. 2003) of
Mpc and
Mpc, and places this galaxy almost 10 Mpc
behind the centre of Canes Venatici I cloud. All these estimates are
consistent with Karachentsev et al. (2003) lower distance limit of 6.3 Mpc
using the TRGB method in a study of CVn I cloud, and their very rough
estimate of 20 Mpc, using the globular cluster luminosity function method.
The galaxy might then be associated with the outskirts of the Virgo cluster.
The velocity of NGC 4150 is rather low (
km s-1), but
it is difficult to say whether it is discordant with either our distance
estimate of
Mpc or Karachentsev
et al.'s (2003)
20 Mpc. Solanes et al. (2002) have found that most Virgo galaxies in
the region closest to us, corresponding to our distance to NGC 4150,
have high radial velocities outward from the cluster centre (with
similarly unusually high velocities away from us for Virgo cluster
galaxies in the region behind the centre of the cluster). The angular
separation of NGC 4150 from the cluster centre is 19 degrees. If it has
a high outward velocity from the cluster centre, its line-of-sight
velocity could be quite low. The observed velocity of NGC 4150 can be
consistent with membership in the Virgo cluster, at its outer edge.
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Figure 13: Left: eight fields were selected for the SBF analysis in UGC 8882. The signal-to-noise in the power spectra is not as high as measured in the other galaxies due to the larger distance of the galaxy at 14.4 Mpc. Nevertheless, the power spectra of the SBF fields (filled circles) are well fitted by the sum (solid line) of a scaled version of the power spectrum of the PSF and a constant (dashed lines). The wavenumbers 1-4 were not considered for the fit. Right: eight fields were analysed to derive the distance of UGC 8882. A shift by 29.60 mag yields the best fit of the data to the calibration diagram. |
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Table 6: SBF distances of the sample galaxies with the ambiguous case listed twice. Heliocentric and Local Group barycentric velocities are also listed if available.
Our SBF distance to KDG 61 confirms the existing TRGB distance (Karachentsev
et al. 2000) and thus the membership in M 81 group. Another M 81 group member is
confirmed as our SBF distance to UGC 5442 agrees well with a previous TRGB
distance (Karachentsev et al. 2000). Radial velocities of KDG 61 and UGC 5442
are reasonable relative to M 81 velocity of
(de Vaucouleurs et al. 1991) or
km s-1.
UGC 7639 had only a tentative distance measured with brightest blue and red stars (Makarova et al. 1998) before our SBF distance, which is in relatively good agreement with the earlier distance and confirms the location of this galaxy in the Canes Venatici II cloud.
Distances to galaxies UGC 1703, UGCA 200, UGC 5944 and UGC 8882 were not
previously known. We have provided accurate SBF distances to these galaxies.
Our distances suggest UGC 1703 may be a distant companion of NGC 784,
UGCA 200 may not be a companion of NGC 3115 as was assumed before,
UGC 5944 is most certainly a member of Leo I group and UGC 8882 seems to be
a member of M 101 group. Likewise only radial velocities were known for
galaxies BTS 128 and UGC 8799 before our SBF distances, which confirm the
membership of BTS 128 in Coma I group and suggest UGC 8799 lies at the
outskirts of Virgo I cluster. Its angular separation from the cluster centre,
at M 87 location of 12
31
in RA and +12
23
in
Dec (J2000.0), is 21 degrees.
The SBF distances we have presented continue to support the understanding of the distribution of dwarf galaxies in galaxy groups and intermediate space in the Local Group neighbourhood. They also demonstrate well the feasibility of the Surface Brightness Fluctuation method in determining accurate distances with 2 m class ground-based telescopes out to the near side of the Virgo cluster.
Acknowledgements
The Nordic Optical Telescope is operated on the island of La Palma jointly by Denmark, Finland, Iceland, Norway, and Sweden, in the Spanish Observatorio del Roque de los Muchachos of the Instituto de Astrofísica de Canarias. We thank Kari Nilsson for his help with the observations and the Academy of Finland for support through its funding of the ANTARES programme. Financial support for RR has been provided by Finnish Graduate School in Space Physics and Astronomy and by the Academy of Finland through funding of the project "Calculation of Orbits''. This research has made use of the NASA/IPAC Extragalactic Database (NED), which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. We are grateful to the referee Enzo Brocato for his useful comments.