A&A 374, 504-522 (2001)
DOI: 10.1051/0004-6361:20010642
A. K. Pandey1 - Nilakshi1 - K. Ogura2 - Ram Sagar1 - K. Tarusawa3
1 - State Observatory, Manora Peak, Naini Tal, 263 129,
India
2 -
Kokugakuin University, Higashi, Shibuya-ku,
Tokyo 150-8440, Japan
3 -
Kiso Observatory, School
of Science, University of Tokyo, Mitake-mura, Kiso-gun, Nagano
397-0101, Japan
Received 8 February 2001 / Accepted 27 April 2001
Abstract
CCD
photometry in a wide field around the open cluster NGC 7654 has
been carried out for
17860 stars, down to
.
The reddening
across the cluster region is found to be variable with
to
.
The cluster is situated at a distance of 1380
70 pc.
The colour magnitude diagrams show a large age spread in the ages.
Star formation was biased towards relatively higher masses during the early
phase of star formation whereas most of the low mass stars of the cluster
were formed during the later phase. The star formation seems to have been a
gradual process that proceeded sequentially in mass and terminated with the
formation of most massive stars. The present data do not support a uniform mass function (MF) for
different regions in the cluster. Although for the whole cluster region,
the MF in the observed mass range
,
can be represented by a single power law with a slope
,
however it indicates various features when examined
carefully. In three subregions of the cluster the slope
,
for the mass
range
,
comes out to be
and
for the inner and intermediate regions and
it becomes steeper in the outermost region (
).
For stars having masses
1.5
the MF, in the inner and intermediate
regions, can be represented by a power law having a steeper slope, whereas in
the outer region a turnover can be seen in the MF at
.
The age of NGC 7654 is found to be comparable to its two-body relaxation
time-scale; therefore this may also be a reason for the observed mass segregation
in the cluster.
Key words: open clusters and associations: general - ISM: dust extiction - stars: formation
The open star clusters are among the most useful objects in the Galaxy and are being used to analyze the large scale properties of our Galaxy. They are laboratories where we can test the theories of stellar evolution and star formation. Determination of their mass function (MF) provides constraints on the theory of star formation in open clusters (Miller & Scalo 1979). On the other hand studies related to the spatial structure and stability of galactic open clusters help to understand the cluster-formation processes in our Galaxy, since these depend upon physical conditions of the molecular clouds from which star clusters are formed (Pandey et al. 1990).
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Figure 1: V band image of the cluster NGC 7654. |
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The stability of an open cluster in our Galaxy also depends upon its structure.
Kholopov (1969) found that the nucleus and the corona (the extended region
of the cluster which generally contains faint stars) are two
main regions in open clusters. The nucleus region of clusters contains
relatively bright and massive (3
)
stars and consequently it is a
well-studied region of the clusters. However, the coronae of star clusters,
which generally contains a large number of faint stars, has not been studied
in detail. In fact the spatial distribution of these faint and low-mass stars
(
)
defines the actual boundary of the clusters. Consequently
coronal regions have very important bearing on studies related to the MF
and the structure and evolution of open clusters. Observations of low mass
stars (
)
in the coronae are of critical importance in
determining the true shape of the cluster MF (Scalo 1998; Kroupa 2001).
A detailed analysis of the structure of coronae of open clusters will help
in understanding the effects of external environment like the galactic tidal
field and impulsive encounters with interstellar clouds, etc., on
dynamical evolution of open star clusters.
Extensive studies of the coronal regions of the open clusters have not so far been
carried out mainly because of the non-availability of photometry in a large field
around open star clusters. Now with a combination of CCD mounted on Schmidt
telescopes, such extensive studies of coronae of star clusters are possible.
Keeping above discussions in mind we embarked to carry out extensive
studies of the coronal regions of star clusters using the 2K
2K CCD
mounted on the Kiso Schmidt telescope which gives a
50 arcminute square field.
The radial density profile for the cluster NGC 7654, derived by Nilakshi et al.
(2001) using the digitized sky survey DSS-2, indicates an excess of stars in
the coronal region
and thus seems an interesting object to study in detail. The open cluster
NGC 7654 (
,
,
Trumpler class I2r) is located in the Cassiopeia constellation. The cluster has
a dense core with some very bright B stars. Figure 1
shows V band image of
the cluster NGC 7654. The interstellar reddening, distance and age of the
cluster have been obtained by various authors (Fenkart & Schröder
1985; Viskum et al. 1997 and references therein; Choi et al. 1999). The
reported values for the E(B-V) range from 0.49 mag to 0.62 mag, the distance estimates
range from 1.21 kpc to 1.51 kpc whereas the derived age has a quite wide range,
25 Myr (Harris 1976) to 158 Myr (Viskum et al. 1997).
Our aim is to study the mass function and stellar evolutionary aspects of the cluster by observing a wide field. The observations, data reduction, and comparison with the previous photometries are given in the next section. The cluster radius, other photometric results and mass function of the cluster are described in the subsequent sections of the paper.
The CCD
observations of the cluster NGC 7654 were carried out using the
105 cm Schmidt telescope of the Kiso Observatory on November 3, 1999. The
CCD camera used a SITe 2048
2048 TK2048E chip having a pixel size
24
.
At the Schmidt focus (f/3.1) each pixel corresponds to
and the entire chip covers a field of
arcmin2 on sky.
In the present work we have used an area of
arcmin2.
The read-out noise and gain of the CCD are 23.2 e- and 3.4 e-/ADU
respectively. Initially there were cumuli in the sky but later on sky condition
improved. The FWHM of the star images was
4
.
The log of the
observations is given in Table 1. A number of bias and dome flat frames were
also taken during the observing runs. To standardize the observations on the
Kiso Schmidt we generated secondary standards in the field of NGC 7654 by
observing Landolt (1992) stars using 104-cm Sampurnanand telescope of the State
Observatory, Naini Tal.
Filter | Exposure | Number of |
time (s) | frames | |
U | 60 | 1 |
U | 180 | 10 |
B | 20 | 10 |
B | 60 | 3 |
V | 10 | 10 |
V | 60 | 2 |
I | 10 | 6 |
I | 60 | 3 |
The data analysis was carried out at the State Observatory, Naini Tal. Cleaning
of the frames was done using the ESO MIDAS software package and different clean
frames of same exposure time and filters were co-added. The photometric
measurements of the stars were performed using the DAOPHOT II profile fitting
software. The stellar images were well sampled and a variable PSF was applied.
When brighter stars are saturated on deep-exposure frames, their magnitudes
have been taken from short-exposure frames. Most of the stars brighter
than V = 10.5 could not be measured because they were saturated even
on the shortest exposure frames.
Profile-fitting photometry gives the error in the magnitude determination,
the goodness of the fit parameter, ,
which is a measure of the average
rms deviation to the PSF fit normalized to the expected errors. It also gives
a shape parameter, Sharpness, which measures how well the PSF fits the
object. The image parameters and errors provided by DAOPHOT were used to reject
poor measurements. The error, parameter
and sharpness for the
measurements used in the analysis are shown in Fig. 2. The photometric data along with the position of the stars measured in the cluster are given in the Table 2, which is available in electronic form only. The format of Table 2 is shown
below.
No. |
X | Y | V | B-V | V-I | U-B | ![]() |
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SV | Radius |
(
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|||||||||||||
1 | 859.52 | 749.70 | 16.184 | 0.933 | 1.255 | 0.282 | 0.026 | 0.012 | 0.018 | 0.022 | 0.690 | -0.085 | 6.970 |
2 | 846.39 | 756.64 | 18.772 | 1.313 | 1.638 | * | 0.030 | 0.080 | 0.050 | * | 0.470 | -0.067 | 8.767 |
3 | 863.96 | 754.34 | 19.519 | 1.313 | 1.662 | * | 0.067 | 0.157 | 0.117 | * | 0.460 | 0.098 | 8.980 |
4 | 851.90 | 764.30 | 18.554 | 1.210 | 1.582 | 0.072 | 0.042 | 0.067 | 0.047 | 0.149 | 0.500 | 0.056 | 9.800 |
5 | 860.27 | 765.22 | 18.210 | 0.860 | 1.304 | 0.463 | 0.049 | 0.048 | 0.027 | 0.232 | 0.490 | 0.148 | 11.496 |
6 | 847.41 | 763.80 | 20.555 | 1.215 | 2.479 | -1.301 | 0.095 | 0.416 | 0.235 | 0.190 | 0.440 | -0.023 | 11.623 |
7 | 847.84 | 743.90 | 17.958 | 1.061 | 1.553 | 0.469 | 0.029 | 0.050 | 0.024 | 0.183 | 0.660 | 0.096 | 13.206 |
8 | 869.02 | 754.93 | 19.319 | 1.324 | 1.690 | -0.629 | 0.051 | 0.139 | 0.072 | 0.175 | 0.510 | -0.449 | 14.017 |
9 | 841.48 | 749.38 | 19.647 | 1.082 | 1.890 | * | 0.059 | 0.180 | 0.098 | * | 0.470 | 0.107 | 14.643 |
10 | 840.13 | 756.36 | 17.957 | 1.037 | 1.508 | 0.495 | 0.029 | 0.044 | 0.044 | 0.166 | 0.570 | 0.107 | 14.936 |
11 | 867.65 | 746.25 | 20.326 | 0.883 | 2.348 | * | 0.068 | 0.409 | 0.126 | * | 0.590 | 0.704 | 15.383 |
12 | 860.70 | 772.02 | 18.883 | 1.051 | 1.882 | * | 0.053 | 0.097 | 0.058 | * | 0.400 | -0.098 | 17.947 |
13 | 837.64 | 743.65 | 18.416 | 0.861 | 1.313 | 0.464 | 0.056 | 0.072 | 0.034 | 0.245 | 0.650 | -0.027 | 20.739 |
14 | 866.71 | 773.21 | 14.327 | 0.584 | 0.761 | 0.366 | 0.021 | 0.008 | 0.021 | 0.006 | 1.400 | -0.104 | 21.645 |
15 | 854.99 | 777.48 | 12.870 | 0.460 | 0.636 | -0.020 | 0.022 | 0.007 | 0.016 | 0.007 | 1.510 | -0.073 | 22.480 |
16 | 877.86 | 760.22 | 19.111 | 0.980 | 1.660 | 0.382 | 0.051 | 0.095 | 0.055 | 0.380 | 0.390 | -0.099 | 23.454 |
17 | 848.52 | 777.56 | 17.818 | 0.648 | 1.560 | 0.223 | 0.070 | 0.058 | 0.053 | 0.109 | 0.390 | -0.101 | 23.468 |
18 | 830.84 | 756.63 | 17.689 | 1.057 | 1.196 | 0.831 | 0.040 | 0.033 | 0.031 | 0.189 | 0.540 | -0.059 | 24.220 |
|
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N |
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N |
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N |
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N | |
Hoag et al. (1961): |
||||||||
10.0-11.0 | -
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3 |
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3 |
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3 | ||
11.0-12.0 | -
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4 |
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4 |
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4 | ||
12.0-13.0 | -
![]() |
1 |
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1 |
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1 | ||
13.0-14.0 | -
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7 |
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7 |
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7 | ||
14.0-15.0 | -
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4 |
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4 |
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4 | ||
Choi et al. (1999): | ||||||||
10.0-11.0 |
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2 |
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2 | ||||
11.0-12.0 |
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9 |
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9 |
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8 | ||
12.0-13.0 |
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20 |
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20 |
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20 | ||
13.0-14.0 |
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29 |
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29 |
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29 | ||
14.0-15.0 |
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52 |
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52 |
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50 | ||
15.0-16.0 |
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25 |
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25 |
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25 | ||
16.0-17.0 |
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55 |
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55 |
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54 | ||
17.0-18.0 |
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45 |
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45 |
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37 | ||
Stetson (2000): | ||||||||
10.0-11.0 |
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2 |
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2 |
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2 | ||
11.0-12.0 |
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8 |
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8 |
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8 | ||
12.0-13.0 |
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10 |
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10 |
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10 | ||
13.0-14.0 |
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15 |
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15 |
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15 | ||
14.0-15.0 |
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17 |
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17 |
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17 | ||
15.0-16.0 |
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10 |
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10 |
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10 | ||
16.0-17.0 |
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20 |
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20 |
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20 | ||
17.0-18.0 |
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33 |
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33 |
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33 |
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Figure 2:
The DAOPHOT error and image parameters ![]() |
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Figure 3: Comparison of the present CCD photometry with the photoelectric photometry by Hoag et al. (filled circles) and with the CCD photometries by Choi et al. (open circles) and Stetson (crosses). |
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A comparison of the present CCD photometry with the available photoelectric
(Hoag et al. 1961) and CCD photometry (Choi et al. 1999; Stetson 2000)
has been carried out. The difference
(literature - present data) as a function
of V magnitude is shown in Fig. 3 and statistical results are given in Table 3.
The comparison with the photometry of Hoag et al. (1961) indicates that the colours
obtained in the present work are in fair agreement with theirs whereas the Vmagnitude obtained by us are fainter by
0.07 mag. A comparison with the CCD
photometry of Choi et al. (1999) and Stetson (2000) indicates that:
|
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180
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400
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CF | ![]() |
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CF | ![]() |
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CF | ![]() |
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CF | ||
V band: | |||||||||||||
12.50-13.50 | 1 | 7 | 7 | 1.00 | 33 | 33 | 1.00 | 58 | 58 | 1.00 | 293 | 293 | 1.00 |
13.50-14.50 | 3 | 16 | 16 | 1.00 | 100 | 98 | 0.98 | 226 | 224 | 0.99 | 1005 | 994 | 0.99 |
14.50-15.50 | 5 | 35 | 30 | 0.86 | 165 | 160 | 0.97 | 472 | 464 | 0.98 | 1798 | 1759 | 0.98 |
15.50-16.50 | 7 | 72 | 66 | 0.92 | 258 | 236 | 0.91 | 692 | 670 | 0.97 | 2840 | 2716 | 0.96 |
16.50-17.50 | 9 | 94 | 79 | 0.84 | 408 | 341 | 0.84 | 1061 | 952 | 0.90 | 4203 | 3821 | 0.91 |
17.50-18.50 | 11 | 163 | 82 | 0.50 | 605 | 319 | 0.53 | 1546 | 914 | 0.59 | 6166 | 3735 | 0.61 |
18.50-19.50 | 13 | 309 | 52 | 0.17 | 928 | 151 | 0.16 | 2572 | 452 | 0.18 | 10274 | 1744 | 0.17 |
B band: | |||||||||||||
12.50-13.50 | 1 | 1 | 1 | 1.00 | 4 | 4 | 1.00 | 1 | 1 | 1.00 | 33 | 33 | 1.00 |
13.50-14.50 | 3 | 11 | 11 | 1.00 | 36 | 36 | 1.00 | 79 | 79 | 1.00 | 371 | 369 | 0.99 |
14.50-15.50 | 5 | 15 | 14 | 0.93 | 105 | 102 | 0.97 | 258 | 253 | 0.98 | 1085 | 1066 | 0.98 |
15.50-16.50 | 7 | 39 | 34 | 0.87 | 179 | 172 | 0.96 | 474 | 459 | 0.97 | 1888 | 1834 | 0.97 |
16.50-17.50 | 9 | 74 | 61 | 0.82 | 271 | 236 | 0.87 | 744 | 705 | 0.95 | 3019 | 2803 | 0.93 |
17.50-18.50 | 11 | 102 | 72 | 0.71 | 412 | 315 | 0.76 | 1093 | 940 | 0.86 | 4362 | 3789 | 0.87 |
18.50-19.50 | 13 | 172 | 60 | 0.35 | 649 | 255 | 0.39 | 1644 | 749 | 0.46 | 6590 | 2954 | 0.45 |
It is very important to check the completeness of data and to make necessary corrections in the sample to take into account incompleteness that may occur because of various reasons e.g., crowding of the stars. The correction is necessary if we want to analyze the luminosity function(LF)/ mass function (MF) of the stars in the cluster. To determine the completeness factor we used ADDSTAR routine of DAOPHOT II. This method has been used by various authors (cf. Sagar & Griffiths 1998). Briefly, the method consists of randomly adding artificial stars of known magnitudes and positions into the original frame. The frames are re-reduced using the same procedure used for the original frame. The ratio of number of stars recovered to those added in each magnitude interval gives the completeness factor, CF, as a function of magnitude.
The luminosity function (LF), defined as the distribution of stars per unit magnitude range, can in principal be obtained from frame in one wavelength band only. However, we know that the cluster region is contaminated by the field stars and with only a single passband we cannot decide whether the star is really a member of the cluster. Two passbands, such as B and V, are required to identify the cluster members. We used the V, (B-V)CMD to determine the membership and to construct the LF of the cluster. Detailed procedure will be discussed in Sect. 6.1. Although the use of two colours gives a realistic LF of the cluster, it further complicates the estimation of completeness of the data. Mateo (1988), with an assumption that the star counts in two bands are independent, adopted a completeness factor as a product of the CF values obtained for two different bands, whereas, Sagar & Richtler (1991) adopted the minimum value of the completeness factors of the pair to correct the star counts. They argued that the two frames are not independent.
To test the ability of these techniques Banks (1994) and Banks et al. (1995) performed numerical simulations and concluded that the method of Mateo (1988) increasingly overestimates the incompleteness correction as the magnitude increases. The method suggested by Sagar & Richtler estimates an actual LF except when the value of CF fell below 50 percent, which Stetson (1991) defines as the limiting magnitude of a CCD frame. We used the procedure given by Sagar & Griffiths (1998) to correct the data incompleteness in the following manner.
We added artificial stars to both B and V images in such a way that they have similar geometrical locations but differ in B brightness according to mean (B-V)colours of the MS stars. The luminosity distribution of artificial stars has been chosen in such a way that more stars are inserted into the fainter magnitudes bins. In total about 15 percent stars are added so that the crowding characteristics of the original frame does not change significantly. The details of the distribution of the added stars are given in Table 4. The stars recovered in both B and V bands have been used to determine the data completeness factor CF, for the four radial regions as a function of brightness, and the value thus obtained are also given in Table 4. As expected the incompleteness of the data increases with increasing magnitudes and increasing stellar crowding. The minimum value of the CF of the pair thus obtained is used to correct the data for the incompleteness.
As the area of the CCD observation is quite large, it can be used to study the
radial extent and structure of the cluster. The center of the cluster
is derived iteratively by calculating average X and Y positions of stars within
300 pixels from an eye estimated center, until they converged to a constant
value. An error of a few pixels is expected in locating the cluster center.
The (X,Y) pixel coordinates of the cluster center are found to be (855, 755),
which corresponds to
,
.
To determine the radial surface density we divided the cluster into a number of concentric circles. Projected radial stellar density in each concentric circle was obtained by dividing the number of stars in each annulus by its area. Densities thus obtained are plotted for different magnitude levels in the left panel of Fig. 4.
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Figure 4: The radial variation of the projected stellar density for different magnitude levels. Dashed lines show the density of field stars. |
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Figure 5: The (U-B)/(B-V) diagram for the stars in three subregions of the cluster. The continuous and dashed curves in the upper panel represent the main-sequence (MS) for Z=0.008 and 0.02 respectively shifted along the slope of the reddening of 0.72. The MS for Z=0.008 is also fitted for minimum and maximum value of the reddening in the three subregions of the cluster (for detail see text). |
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The density distribution shown in the left panel of Fig. 4 may be affected by
the presence of field stars. To see their effect on the cluster structure,
we carried out the following analysis.
It is difficult to separate field stars from the cluster, only on the basis
of the photometry. However, the contribution of the field stars
can be reduced if we select a sample of stars
near a well defined main-sequence (MS) in the colour-magnitude diagram.
To select such a sample we defined blue and red envelope of the MS (cf. Sect. 7)
and the radial density distribution of the MS sample is also shown in the
right panel of Fig. 4. Both the samples show an almost same radial distribution
of the density. However the radial distribution for stars V< 20 indicate
an excess of density at
.
The density excess disappears in
the radial distribution of samples having stars
17.0. The radial
distribution of stars having
17.0 indicates that the extent of the
cluster is about 700 arcsec with a core radius, defined as the radius at which
the surface density drops to half of its central value, of about 225 arcsec.
To study various parameters, e.g., interstellar extinction, IMF etc., in detail
we divided the cluster into three subregions as the inner region (
), the intermediate region (180
)
and the outer region (400
). The stars located
in the region having
have been used to estimate the field star
contamination in the cluster region.
The cluster NGC 7654 is located in an interam-region (cf. Fenkart & Schröder
1985) and suffers from a strong interstellar absorption. Danford & Thomas
(1981) have found that the cluster has non-uniform reddenings with an excess
for stars in the southern half. The interstellar extinction E(B-V) in the
cluster region can be estimated using the
(U-B)/(B-V) colour-colour diagram.
The colour-colour diagram for the three subregions of the cluster
are shown in Fig. 5. Here as well as in Sect. 5 we used E(B-V) values of
only those stars which have
.
Since the inner region of
the cluster is less contaminated by field stars, a comparison of the observed
MS in the inner region with the intrinsic MS will be least affected by field
star contamination. In Fig. 5 an unreddened MS for Z=0.02
and 0.008 by Bertelli et al. (1994) is shifted along a line having a slope
E(U-B)/E(B-V)= 0.72. We find that both the curves indicate a mean reddening of
0.56 for the cluster, however the MS for Z=0.008 show a better
fit in the range 0.8
1.1 as compared to the MS for the solar
metallicity. Therefore in the ensuing section we use the stellar model of
Bertelli et al. (1994) for Z = 0.008.
The spatial distribution of interstellar matter within the cluster can also
be studied with the help of (U-B/B-V) colour-colour diagram. Figure 5 indicates
a variable reddening in the cluster region. Reddening E(B-V) varies in the inner
region from 0.46 to 0.64 mag, whereas in the two other regions the reddening
varies from 0.54 to 0.80 mag. Thus the differential reddening
varies from 0.18 mag in the inner region to 0.26 mag
in the outer region.
The extinction for individual stars having spectral type earlier than A0 has been derived using the Q-method (Johnson & Morgan 1953). The distribution of the reddening E(B-V) in various radius bins is shown in Fig. 6, which indicates that maxima of the distribution shifts from 0.53 mag in the central region to 0.68 mag in the outer region of the cluster. The mean reddening as a function of radial distance is shown in Fig. 7. These diagrams clearly indicate a lack of reddening material in the central region of the cluster. However, we did not find any reddening variation in the NS or EW direction as evident from Fig. 8.
In Fig. 9 the reddening E(B-V) is plotted as a function of luminosity in two
different regions, having
and
,
of the cluster field. In the inner and
intermediate region of the cluster (i.e.,
)
the brightest stars
(
)
show in general a higher value of reddening. However no
such type of dependence is observed in the outer region.
Numerous investigations have shown that the reddening law in terms of
is valid in many parts of our Galaxy. However young
clusters associated with gas and dust may show a large value of R (cf. Hillenbrand et al.
1993 and references therein). It has been shown by Chini & Wargau (1990)
that two-colour-diagrams (TCDs) of the form (V-X) vs. (B-V), where X denotes
one of the broad band filters
(R,I,J,H,K,L) between 0.7 and 3.7
,
provide an
effective method of separating the abnormal extinction arising within such
clusters from the normal extinction produced by general interstellar
medium. In those TCDs the unreddened main-sequence and the path of the normal
reddening make practically identical lines. This makes these diagrams useless
for the determination of the amount of reddening, but, instead very useful for
detecting anomalies in the reddening law. To derive the value of
(ratio of total to selective extinction in the cluster region) we use the approximate relation (cf. Neckel
& Chini 1981),
Figure 10 shows the
(V-I)/(B-V) TCD for all the stars measured in the
inner+intermediate region of the cluster (i.e.,
). In Fig. 10
we can identify two distinct group of objects.
However it is difficult to clearly differentiate the cluster stars from the
field stars with the help of this diagram. To derive
we
performed a least square fit to the data having
1.1, however,
we have to keep in mind that the sample is contaminated
by field stars. For the above mentioned sample
comes out to be
1.31
0.03. The
is estimated from the stars outside the cluster
region i.e.,
having same range in colour (
)
as in case of stars in the cluster region and comes out to be
.
Then the value of
comes out to be 3.5
0.1.
In Fig. 11 we have plotted V/(B-V), V/(U-B) and V/(V-I) colour-magnitude diagrams (CMDs) for stars lying in three different regions of the cluster. In the innermost region we see a very well defined main-sequence (MS). The effect of field stars on the MS can be seen easily as we move towards outer regions. The broadening of the (MS) may be due to:
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Figure 6: The frequency distribution of the E(B-V) in various regions of the cluster. |
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Since the error in magnitude estimation is 0.04 mag for stars having
17.0, the third point is not the main factor for broadening of the MS.
However, the errors increase rapidly for star having V> 17.0 and the effect of
photometric errors is obvious in the CMDs. As we have discussed earlier that
the cluster region shows a variable reddening, the interstellar
reddening should be a cause of broadening of the MS. It is difficult to
separate field stars from the cluster stars, however we can reduce the
contamination of field stars if we restrict ourselves to the central
portion of the cluster. Thus on the basis of the above discussions we
can conclude that the variable reddening, probable binaries and the presence
of field stars are the main cause for broadening of the MS below
17 mag.
Range in | Inner region | Intermediate region | Outer region | ||||||
V mag | ![]() |
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10.5-11.5 | 3.0 | 0.3 | 2.7 | 8.0 | 1.0 | 7.0 | - | 2.8 | - |
11.5-12.5 | 9.0 | 0.6 | 8.4 | 17.0 | 2.3 | 14.7 | 9.0 | 6.0 | 3.0 |
12.5-13.5 | 18.0 | 1.0 | 17.0 | 27.0 | 3.8 | 23.2 | 20.0 | 10.0 | 10.0 |
13.5-14.5 | 25.0 | 2.1 | 22.9 | 50.0 | 8.3 | 41.7 | 52.0 | 22.0 | 30.0 |
14.5-15.5 | 31.4 | 4.8 | 26.6 | 70.1 | 18.6 | 51.5 | 90.8 | 49.5 | 41.3 |
15.5-16.5 | 43.7 | 11.8 | 31.9 | 84.6 | 46.0 | 38.6 | 138.1 | 122.4 | 15.7 |
16.5-17.5 | 61.0 | 25.9 | 35.1 | 171.4 | 101.7 | 69.7 | 283.3 | 270.3 | 13.0 |
17.5-18.5 | 144.0 | 76.1 | 67.9 | 422.6 | 298.0 | 124.6 | 766.1 | 792.6 | - |
18.5-19.5 | 411.7 | 421.2 | - | 1843.8 | 1650.6 | 193.2 | 4038.9 | 4390.0 | - |
In order to determine cluster parameters precisely, it is important
to identify the stars which are actually cluster members. Membership
determination is also crucial for assessing the presence
of pre-main sequence (PMS) stars, since PMS stars and dwarf foreground stars
both occupy positions above the ZAMS in a CMD. The most valuable method
to decide cluster membership is the proper motion studies. Other methods of
estimating cluster membership are: i) expected range of colour excess,
ii) reddening slopes, iii) position on the CMDs and iv) spectroscopic
observations. Since proper motions and spectroscopic observations are not
available, we will use only photometric criteria to identify the cluster
members. The membership for individual stars brighter than V=15 can be
obtained after dereddening the magnitude and colours of the stars and
inspecting their positions on the CMDs. However, membership for stars fainter
than
could not be established as individual reddening is not
available due to the inapplicability of the Q-method for these stars.
The cluster members thus identified are used to estimate the age and the age
spread in the cluster. As stated above it is difficult to separate the cluster
members fainter than
from field stars. However, the contamination
due to field stars is greatly reduced if we select a sample of stars which are
located near the well defined main-sequence. We defined blue and red envelopes
for the main-sequence on the V/(B-V) CMD for stars lying within the cluster
boundary i.e.,
and these are shown in Fig. 12. Stars
located outside the area having
are considered as field stars.
After normalizing the area we can find the number of field stars present
per unit area in each magnitude bin. Thus after subtracting the contribution of field stars (corrected
for data incompleteness) from each magnitude bin of the contaminated sample
of MS stars (also corrected for data incompleteness) we can estimate the number
of probable MS cluster members. The number of probable cluster members in the
three subregions of the cluster thus obtained are given in Table 5. As expected
field star contamination increases from the inner region to the outer region.
![]() |
Figure 7: The radial variation of the reddening E(B-V) in the cluster field. The error bars represent standard errors. |
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![]() |
Figure 8: Distribution of the reddening E(B-V) in the NGC 7654 region. The numbers given in parentheses are the number of stars. The coordinates are given in pixels. The coordinates of the cluster centre are X=855, Y=755. |
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![]() |
Figure 9:
The plot of reddening E(B-V) as a function of luminosity. The
bright stars (
![]() |
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![]() |
Figure 10:
The
(V-I)/(B-V) diagram for all the stars measured in the region
having
![]() |
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![]() |
Figure 11: The CMDs in the three subregions of the cluster. The isochrones by Bertelli et al. (1994) for log age = 8.0, 8.2 and 8.4 are also shown. |
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Recently Viskum et al. (1997) and Choi et al. (1999) reported an age of
158 Myr and 100 Myr, respectively for NGC 7654, whereas, Danford & Thomas
(1981) and Harris (1976) assigned a younger age, 65 Myr and 25 Myr,
respectively, to the cluster. By combining their data with those of Bouigue
(1959) and Hoag et al. (1961), Viskum et al. (1997) tried to investigate the
discrepancy in the age determination using the isochrones for younger ages,
but could not fit them with the entire sample. They concluded that there is
an older cluster behind a group of younger stars.
We tried to fit the isochrones by Bertelli et al. (1994) for z = 0.008
assuming a mean reddening
E(B-V)= 0.57, in Fig. 11 and found a mean age
160 Myr and a mean distance modulus
which corresponds to a distance of 1380
70 pc. Viskum et al. (1997)
and Choi et al. (1999) reported a distance of 1400
200 pc and
pc, respectively, for the cluster. Although the age and distance obtained
here are in good agreement with the results by Viskum et al. (1997) and Choi
et al. (1999), we will illustrate in the ensuing discussions how the analysis
gives errant results if the reddening correction is not applied properly
especially where the reddening is variable.
In Fig. 13, we have plotted dereddened colour-magnitude diagrams for the cluster
stars in the area having
to reduce the contamination due
to field stars. The dereddened magnitude
V0 (= V - Av) has been obtained for
a normal extinction law i.e., R = 3.1, though we have indication for a slightly
different extinction law in the NGC 7654 region. One bright star (star no 2 of
Hoag et al. 1961) was saturated even in our shortest exposures. The data for
this star have been taken from Hoag et al. (1961). The dereddened magnitude and
colours of this star are obtained by using mean E(B-V) value (=0.75) of
nearby stars. The star is located in the central region, therefore the
probability of being a cluster member is high. If it is a cluster member,
it can be assigned a spectral class as
F5Ib and it nicely follows the
isochrone of age 63 Myr.
![]() |
Figure 12:
The V, (B-V) CMD for stars lying within the cluster boundary
(i.e.,
![]() |
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The dereddened CMDs present an entirely different picture for the cluster
age. The distribution of 15 bright stars (
)
in the CMDs shows a
large spread in colour which cannot be explained only on the basis of
photometric errors and presence of binaries etc. The statistics for the bright
stars (
)
given in Table 5 indicate a contamination of about
10% due to the field stars in the cluster region having
.
Statistically we expect that at most 2 field stars may contaminate
the sample of 15 stars. Thus the distribution of stars in the CMDs indicates
that the star formation within the cluster is not coeval and has a large age
spread
Myr). Such a large age spread has not been reported
in the open clusters. The Pleiades cluster has been claimed to have a prolonged
star formation period, perhaps 30 Myr (Siess et al. 1997; Belikov et al. 1998).
Recently, Elmegreen (2000) has reported that the total duration of star
formation in most of the clouds is only 1-2 dynamical times (
2-4 Myr)
once star formation begins. However, some clusters have larger age spreads than
the dynamical time, which could be the result of multiple and independent star
formation (Elmegreen 2000).
The dereddened CMDs give a distance modulus
(m-Mv)0 = 10.4 which
corresponds to a distance of 1200 pc. However, Fig. 11, where we applied an
average value of E(B-V) = 0.57, gives a distance of
pc. We prefer
this distance (1380 pc) as compared to that obtained from Fig. 13 (1200 pc),
where we used only the upper portion of the CMDs as E(B-V) values are not
available for fainter stars. Most of these stars are showing evolutionary
effects, whereas in Fig. 11 it is easy to compare the theoretical MS with the
observed one.
Range | Mass | Mean | Inner region | Intermediate region | Outer region | |||
V mag | ![]() |
![]() |
N | ![]() |
N | ![]() |
N | ![]() |
10.5-11.5 | 5.13-4.49 | 0.682 | 2.7 | 1.668 | 7.0 | 2.082 | - | - |
11.5-12.5 | 4.49-3.58 | 0.606 | 8.4 | 1.933 | 14.7 | 2.176 | 3.0 | 1.486 |
12.5-13.5 | 3.58-2.58 | 0.489 | 17.0 | 2.078 | 23.2 | 2.213 | 10.0 | 1.848 |
13.5-14.5 | 2.58-1.84 | 0.344 | 22.9 | 2.193 | 41.7 | 2.452 | 30.0 | 2.310 |
14.5-15.5 | 1.84-1.42 | 0.212 | 26.6 | 2.371 | 51.5 | 2.659 | 41.3 | 2.563 |
15.5-16.5 | 1.42-1.19 | 0.116 | 31.9 | 2.623 | 38.6 | 2.706 | 15.7 | 2.315 |
16.5-17.5 | 1.19-1.00 | 0.039 | 35.1 | 2.665 | 69.7 | 2.962 | 13.0 | 2.233 |
17.5-18.5 | 1.00-0.84 | -0.036 | 67.9 | 2.951 | 124.6 | 3.215 | - | - |
![]() |
Figure 13:
The dereddened CMDs for the stars in the cluster region having
![]() |
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The distribution of stellar masses at the time of birth of the
cluster is known as the initial mass function (IMF). Studies of IMF of
star clusters are important to constrain star formation theories and also
to understand the early stages of evolution of star clusters. A fundamental
question about the IMF is whether the shape of the IMF is universal in
time or space. Scalo (1986) in a detailed review of IMF did not find any
convincing logic to support a variable IMF. However after a period of
twelve years, he cited much evidence that does NOT support a
universal IMF (Scalo 1998). On the other hand, Sagar (2000) indicates
a universal Salpeter type MF above
.
The most important contribution to the studies
of IMF in the last twelve years is the advent of CCDs. The CCDs combined with
a moderate size telescope are giving deeper insights into low mass stars that can
change the scenario of the IMF studies. One of the important studies
was by Phelps & Janes (1993) who estimated IMF for eight clusters
with ages
.
The slope of the
mass function they obtained varies from 0.4 to 1.8. However some of the
clusters in their sample, as pointed out by Scalo (1998), do not cover a
large area. Pandey et al. (1992) and Sagar et al. (1986) have found that
the nature of mass function
does not remain the same over the entire region of the cluster and the
slope of the mass function steepens as the radial distances increase.
In the present observations we have imaged a sufficiently large area that
covers the cluster including its coronal region where most of
the low mass stars are expected to present.
With the help of CMD's we can derive the observed luminosity function
LF of the probable main sequence cluster members and then the mass
function (MF) using the theoretical evolutionary model of Bertelli
et al. (1994). As the IMF is the frequency distribution of
stellar masses in an ensemble of newly formed stars in a stellar system
or region, it is assumed safe to say that the IMF can be estimated
for young star clusters as they contain a nearly coeval set of stars formed
from a parental cloud. However the star formation in the present case
as well as in the case of some other clusters (e.g., Pandey et al. 1991) is
found to be a continuous process. Therefore, the term IMF cannot be strictly
applicable in the case of NGC 7654 and we can estimate only the present day
mass function.
The mass function is often expressed by the power law,
and the slope of the mass function is given as:
![]() |
Figure 14:
A plot of the mass function for the entire cluster region i.e.,
![]() ![]() |
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Mass range (![]() |
![]() |
|
Inner region | 0.92-1.63 | -2.17 ![]() |
1.63-4.04 | -1.07 ![]() |
|
Intermediate region | 0.92-1.31 | -3.18 ![]() |
1.31-4.04 | -1.28 ![]() |
|
Outer region | 1.63-4.04 | -2.78 ![]() |
Whole cluster region | 0.92-4.04 | -1.40 ![]() |
As discussed in Sect. 6, the star formation seems to be a prolonged
process in the cluster NGC 7654. To study the star formation in different
phases, we overplotted two isochrones for age 32 Myr and 100 Myr
representing the extreme stages of the star formation. The proximity of the
stars to the isochrones was the criterion to decide the phase. The stars
(mostly fainter than
)
lying significantly away from the
isochrones in both the
V0/(B-V)0 and
V0/(U-B)0 CMDs are
probably field stars and were not included in the sample.
The
V0/(U-B)0 CMD thus obtained is shown in Fig 15.
A cumulative distribution of stars in these two phases as a function of
luminosity is shown in Fig. 16. The Kolmogorov-Smirnov test at a confidence
level 0.75, indicates that the distribution
of stars during the early phase of star formation was relatively biased
towards bright (i.e. relatively massive) stars.
![]() |
Figure 15: The dereddened V/(U-B) CMD for probable cluster members formed during different phases of star formation (see text). |
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![]() |
Figure 16: The cumulative distribution of stars as a function of luminosity. Phases I and II represents early and later stages of star formation process, respectively. |
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![]() |
Figure 17: The massive end of the mass function of the cluster for two different phases of star formation (see text). |
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For both the samples the stars were counted as a function of one magnitude bin of the V passband. The obtained luminosity functions (LFs) were converted to the mass functions using the theoretical models of Bertelli et al. (1994), in the same manner as described in Sect. 7. The difference in the mass bins of the two samples arises due to conversion of V luminosity to the mass using the isochrones of log age =7.5 and 8.0 respectively. The obtained MFs, shown in Fig. 17, also indicate that during the early phase star formation was biased towards relatively high mass stars whereas most of the low mass stars should have been formed later on.
There are clear evidences for mass segregation in a few galactic star clusters,
with the highest mass stars preferentially found towards the center of the cluster
(see e.g., Pandey et al. 1992 and references therein). Star clusters in the LMC
also show a large number of low-mass stars relative to high mass stars at larger
radii (Fisher et al. 1998 and references therein). To characterize the degree
of mass segregation in the NGC 7654 we subdivided the sample into three
mass groups (
and
). Figure 18 shows the cumulative distribution as a
function of radius in three different mass groups. These normalized cumulative
distributions are corrected for the incompleteness and the probable
contamination due to field stars has also been removed. Figure 18 clearly
indicates an effect of mass segregation in the cumulative distribution in
the sense that most massive stars tend to lie near the cluster centre. The
Kolmogorov-Smirnov test confirms the statement that the cumulative distribution
of most massive stars in the cluster (
)
is different
at a confidence level better than 99% from the cumulative distribution of
relatively less massive stars. However, the cumulative radial distributions for
the lower mass bins cannot be distinguished from one another. This indicates
that the mass segregation is less evident in the lowest mass stars of the cluster.
This phenomenon was noticed by Van Leeuwen (1983) and also found in the Hyades
(Mathieu 1985) and Pleiades (Raboud & Mermilliod 1998). It could be a
general phenomenon because low mass star population is the most spatially
extended, due to energy equipartition, and therefore is the most severely
truncated by the galactic tidal field (Mathieu 1985).
![]() |
Figure 18: Cumulative distribution function for different mass intervals. |
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To decide whether the mass segregation discussed above is primordial or due
to dynamical relaxation, we have to estimate the relaxation time. Because of
the dynamical relation low mass stars in a cluster may possess the largest random
velocities, consequently these will try to occupy a large volume than high
stars (cf. Mathieu & Latham 1986; McNamara & Sekiguchi 1986; Mathieu 1985).
The dynamical relaxation time ,
of the clusters can be estimated using
the relation,
mass range(![]() |
![]() |
|
Inner region | 0.92-1.63 |
![]() ![]() |
1.63-4.04 |
![]() ![]() |
|
Intermediate region | 0.92-1.31 |
![]() ![]() |
1.31-4.04 |
![]() ![]() |
|
Outer region | 1.63-4.04 |
![]() ![]() |
Total region | 0.92-4.04 |
![]() ![]() |
Sometimes, estimation of the center in star clusters is a tricky job. The
determination of cluster center may depend on various parameters e.g.,
the distribution of the stars of different luminosity may have different
centers for their distribution. The statistics given in Table 5
indicate that there may be many cluster members as faint as
,
therefore in the present work we preferred a center (X= 855, Y= 755) obtained
for the stars having luminosity
(cf. Sect. 3). However, the center
coordinates for the cluster shifts towards the North-East direction for the
distribution of bright stars. For the stars having
18.5 the pixel
coordinates for the cluster center comes out to be X=825, Y=795. In this
section we try to find out possible effects on the analysis presented above
due to the change of the adopted cluster center. We obtained the radial surface
density distribution, the spatial distribution of reddening and the spatial
variation of mass function for the cluster center having the above pixel
coordinates. The density and reddening distributions are shown in Fig. 19.
The comparison of the distributions obtained for two different centers
of the cluster, also shown in Fig. 19, are nearly the same.
The slope of the mass function (in the mass range
)
for the whole cluster region i.e.,
around the new center
can be represented by a single power law with a slope
,
which is in fair agreement with the
obtained
in Sect. 7. Although the mass function also indicates a same type of spatial
variation as discussed in Sect. 7, the values of mass
function slopes are slightly different. The slopes of the mass function obtained
for the new center are compared with those obtained in Sect. 7 in Table 8.
![]() |
Figure 19:
The reddening and density distributions obtained for the cluster
centre having pixel coordinates X=825, Y=795 (filled circles). Density is given as number
of stars/
![]() ![]() |
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On the basis of above discussion we may conclude that a change in the cluster center by about 1 arcmin does not affect the analysis presented in the paper.
![]() |
Figure 20: The distribution of mean reddening and bright stars in the cluster. The mark * shows the adopted cluster center with pixel coordinates X=855, Y=755. The X and Y coordinates are given in pixels. |
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The distribution of interstellar matter inside the cluster (cf. Fig. 7)
indicates a slight lack of interstellar matter at the center. In the
case of very young clusters, e.g., NGC 3603 and 30 Dor, Pandey et al. (2000) and
Brandl et al. (1996), respectively, have also
found that the stars in the core of these clusters show almost no reddening.
Stellar winds or a supernova explosion may be a probable explanation for
the lack of dust (and gas) at the center of these clusters. It is interesting
to mention that there is a deficiency of bright (i.e. massive) stars in the
central region of the NGC 7654. The bright stars are distributed
in an arc at about
and all these show in
general a higher value of reddening (Fig. 20). The bright stars (V0<10.0)
discriminated for different epochs of star formation have been plotted
as a function of luminosity in Fig. 9 (Sect. 4) as open circle (first
generation star) and filled circle (second generation star), respectively.
Statistically
2 field stars are expected to contaminate the cluster
region in the range
.
We expect that 2-3 stars which have
reddening
0.65-0.67 may be foreground stars.
The reddening E(B-V) especially for the second generation stars
shows a dependence on the luminosity in the sense that brighter (i.e., massive)
stars have a higher value of E(B-V). This suggests that
some bright stars may still have a dust shell around them.
![]() |
Figure 21:
The distribution of stars having
![]() |
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A few faint stars having luminosity
V0 >10.0 also show higher reddening.
In Fig. 21 the positional distribution of stars having
V0 >10.0 and
,
and
E(B-V) < 0.6 has been shown by filled
triangles, open circles and crosses, respectively. There is no trend
apparent in the diagram. The location of stars having
V0 > 10.0 and
,
on the CMDs indicates that these are background stars.
The distribution of bright stars (
)
and an increase in
interstellar matter towards the outer region of the cluster which becomes
rather constant at
(Fig. 7) poses an interesting question.
As we have discussed in Sect. 7 the star formation was biased towards massive
stars during the early phase, an extrapolation
of the MF indicates a good number of massive stars must have been formed and may
have already turned into supernovae. Because of the supernovae explosions
the gas and dust from the central region would have been pushed toward the
outer region of the cluster, thereby increasing the density of gas and dust in
that region. Although we cannot estimate the number of these massive stars because
of the uncertainty due to small-number statistics in deriving the MF of the
early phase of star formation, still we can speculate a few supernovae events in the
history of NGC 7654. Those supernovae explosions might have triggered the star
formation in the second epoch. Since more interstellar matter was available
towards the outer region, the activity of star formation was higher in that
region. Considering the fact that the star formation was biased towards
low mass stars during the end of star formation (cf. Sect. 7), more low mass
stars should have been formed in the outer region, this fact along with the
dynamical relaxation of the cluster
(cf. Sect. 8) explains the excess of low mass stars in the intermediate region
(
).
![]() |
Figure 22: The distribution of massive stars in the cluster as a function of age. Open and filled circles represent stars formed during the first and the second epoch respectively. |
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Figure 22 shows that formation
of massive stars took place sequentially, in the sense that low mass
stars formed first. The age and mass of individual stars were estimated from
the isochrones. The star formation history in the cluster NGC 7654
supports the conventional picture of star formation in clusters that "low mass
stars'' form first and that star formation continues over a long period of
time (20 Myr). The star formation within the cluster was terminated with the
formation of the most massive star in the cluster. In the literature we can find
several observational supports for the conventional theory, including the
study of the Hyades and Pleiades by Herbig (1962), which revealed low mass
(<2
)
stars on the ZAMS, despite the fact that their contraction
time is much larger than the nuclear burning life time of higher mass stars
that dominate these clusters. In the case of NGC 3293 Herbst & Miller (1982) also
found 2
stars on or near the ZAMS with the presence of massive
O stars within the cluster. The mass distribution of brighter (i.e., massive)
stars in NGC 7654 as a function of age (see Fig. 22)
supports the conventional theory where star formation was terminated by
the formation of most massive stars in each epoch. However, this scenario is in
contradiction with some recent observations which showed that star
formation does not cease after the formation of most massive star in the
cluster (Hillenbrand et al. 1993; Massey et al. 1995; Pandey et al. 2000
and references therein).
The mass function of NGC 7654 in various subregions, for the entire observed
mass range (5 - 0.8
), cannot be represented by a single power law.
The slope of the mass function becomes steeper for
.
This
is probably due to the abundant formation of less massive stars during the later phase
of star formation. Moreover, the slope of the mass function for stars having
becomes steeper in the outer part of the cluster.
Thus the mass function of NGC 7654 does not support the three
component model recently proposed by Scalo (1998), where he gives a slope of
mass function as
for the mass range
.
Here it
is interesting to mention that the mass function in the entire cluster (i.e.,
), in the mass range
,
can be
represented by a single power law with a slope of
.
Thus on the basis of the above discussions it seems that star formation in star cluster is highly localized and and that it depends on the prevailing conditions in different parts of the cloud/cluster. In the future we plan to carry out a detailed study of those parameters which affect star formation in star clusters using the Kiso Schmidt telescope.
The current paper is the first of a series where we plan to carry out wide field
CCD photometry around open clusters using the Kiso Schmidt telescope
to study in detail the structure, star formation history, and mass function of
open clusters. In this contribution we present a detailed study of the cluster
NGC 7654, which is based on a deep CCD photometry of 17860 stars in a
wide area of
.
The completeness of the present
CCD data has been determined empirically as a function of brightness in
different regions of the cluster field. The observed LFs after correcting for
both the data incompleteness and the field star contamination
were converted to MF using the theoretical isochrones given by Bertelli et al.
(1994). Following are the main conclusions of the present work:
Acknowledgements
AKP is thankful to the DST (India) and JSPS (Japan) for providing funds to visit KISO observatory to take observations and to the staff of KISO observatory for their generous help during the stay. AKP is also thankful to Prof. K. Ishida (Ex-director of the Kiso observatory) who encouraged us to pursue wide field photometry around open clusters through the KISO Schmidt telescope. The authors are thankful to Dr. Debra Elmegreen for useful comments which improved the contents of the paper.