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NASAReferencePublication1202
June 1988
_i. _-, p ,_.
L
Catalog of Open Clustersand Associated
Interstellar Matter
David Leisawitz
H1/_o
:_66-2£c[2
NASA
https://ntrs.nasa.gov/search.jsp?R=19880020268 2018-07-28T14:26:54+00:00Z
NASAReferencePublication1202
1988
N/LRANational Aeronauticsand Space Administration
Scientific and TechnicalInformation Division
Catalog of Open Clustersand Associated
Interstellar Matter
David Leisawitz
Goddard Space Flight CenterGreenbelt, Maryland
PREFACE
In this compilation, every effort has been made to report accurately the
observations of a large number of investigators. However, since this will be
the first widely distributed edition of the Catalog of Open Clusters and
Associated Interstellar Matter, for there to be a few misquotations is
inevitable. (I would greatly appreciate being informed of discrepancies when
they are discovered.) For this reason, but, more importantly because
measurements taken out of context are prone to misinterpretation, I recommend
using this catalog as a guide to information available about the clusters rather
than as a final source of information. The catalog format was designed to
facilitate location of original references.
My objective was to make the database a useful research tool for optlcal
observers and radio astronomers alike, and thus to help bridge a communication
barrier that separates astronomical subdlsclpllnes. The catalog description
that follows was written with that objective in mind.
D. Lelsawltz
March 1988
PRECEDING PAGE BLANK NOT FILMED
**°III * o
SUMMARY OF CONTENTS
INTRODUCTION ......................................
CLUSTER SAMPLE SELECTION CRITERIA AND SELECTION EFFECTS ......
SOURCES OF INFORMATION ..............................
DATABASE CONTENTS AND CATALOG FORMAT ..................Cluster Identification .................................
Spatial Coordinates ...................................Radial Velocities ....................................
Stellar Clusters ..................................
H II Regions ...................................Molecular Clouds ................ - .................
Proper Motions .....................................Distance ........................................
Angular Diameter ...................................Linear Diameter ....................................
Age . . . . . . ..... . . .... . ......... • • • • • • • • • • • • • • • •Masses .........................................
Stellar .......................................Atomic Gas ....................................Ionized Gas ....................................Molecular Clouds .................................Dust ........................................
Visual Extinction .................... ...............
Reddening .......................................
PROCESSING AND ANALYSIS SOFTWARE .......................
CATALOG OF OPEN CLUSTERS AND ASSOCIATED INTERSTELLAR MATTER
REFERENCES ......................................
vii
vii
xiii
xiiixiiixvixvixvixviixvii
.o.
XVlll
xviiixixxixxix
xxxxixxi
xxiixxii
o.,
XXlll.,o
XXlll...
XXlU
xxiv
258
PRECEDING PAGE BLANK NOT FILMED
'V
CATALOG OF OPEN CLUSTERS AND ASSOCIATED INTERSTELLAR MATTER
David Leisawltz
INTRODUCTION
Data pertaining to 128 open clusters, and the interstellar matter
associated or potentially associated with them, are compiled in this catalog.
Common names, aliases, and galactic coordinates of the catalogued clusters are
shown in Table i. Also tabulated are the names of OB associations of which the
clusters are members, and the Sharpless (S) and Westerhout (W) identifications
of H II regions ionized by the clusters.
The Open Cluster Interstellar Matter (0CISM) database from which this
catalog was produced is available in machlne-readable form, with accompanying
processing and analysis software, through the National Space Science Data Center
(NSSDC) at the NASA Goddard Space Flight Center.
Below we describe briefly the criteria used to select clusters for this
compilation_ known selection effects as a result of which there are differences
between the catalogued clusters and the population of all open clusters in the
Galaxy| how information for the OCISM database was obtalned_ the database
contents and catalog format_ and the associated processing and analysis
software.
CLUSTER SAMPLE SELECTION CRITERIA AND SELECTION EFFECTS
Clusters in the OCISM database satisfy four criteria: they are relatively
well studied (photometrically and, often, spectroscoplcally)_ their declinations
are _-20°_ they are more distant than ~1 kpc but not more distant than ~5 kpc_
and they are younger than ~100 Myr. Of the approximately 1200 known open
clusters, ~10Z satisfy these conditions.
The 0CISM database was created to document information that characterizes
open clusters and their interaction with the interstellar medium and the sample
selection criteria were specified accordingly. Because they are relatively
young, most OCISM clusters can be expected to be surrounded by the interstellar
fl&]mS"l_l_O PAGE BLANK NOT _ILMEO
vii
Table 1. Clusters in
Number in liI
Database 0CL (deg)
the Database
bii Name of
(deg) Connnon
Cluster
Alias
Member of H II Region
Association S W
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
19 6.13 -1.36 NGC 6530
23 6.99 -0.25 NGC 6514
26 7.72 -0.44 NGC 6531
33 11.99 -0.94 MARKAR 38
34 12.43 -3.22 TRUMP 33
M8
M20_ TRIFIDM21
BYURAKAN 5
35 12.80 -0.80 COLLIN 469
36 12.86 -1.32 NGC 6603 M24
40 14.15 -1.01 NGC 6613 M18
44 15.09 -0.74 NGC 6618 M1754 16.99 0.79 NGC 6611 M16
5666
67
68
74
7782
8396
99
I00
122
124
125
126
134
138
148
149
150
18.26
21.6423.86
23.95
26.28
27.3628.23
28.29
38.55
39.06
42.16
59.1659.41
60.1460.21
65.70
66.96
72.6472.73
72.76
73.2974.91
75.3675.71
76.66
1.69 NGC 6604
-0.78 NGC 6649
-2.92 NGC 6694-0.50 NGC 6664
-0.81 NGC 6683
-1.93 BASEL 1
-2.23 NGC 6704
-0.01 TRUMP 35
-1.70 NGC 6755
-1.69 NGC 6756
4.70 NGC 6709
-0.16 NGC 6820
-0.15 NGC 6823
-1.83 NGC 6830
-0.29 ROSLUND 2
1.18 NGC 6834
-1.26 ROSLUND 4
2.08 NGC 6871
1.74 BYURAKAN I
1.35 BYURAKAN 2
1.19 NGC 6883
3.29 BASEL 6
1.31 IC 4996
0.31 BERK 87
1.26 BERK 86
152157.1
158161
167
M26
APRIAMASVILI
SNR DA495
IC 495415
SGR OBI
SGR OB1
SGR OB1
SGR OB1
SGR OB1
SER OB1
SER OB1
SER 0B2
SCT OB2
VUL OB i
VUL 051
VUL OB1
VUL OB1
CYG OB3
CYG OB1
CYG OB1
CYG OB1
CYG OB1
CYG OB1
25 29
30
45
49
86
86
38
37
35
50
55
,°,
VUl
Table I. (continued)
Number in iii bli
Database OCL (deg) (deg)
Name of Cluster
Common Alias
Member of H II Region
Association S W
36 168 76.92 0.6037 177 78.09 2.79
38 181 78.66 2.03
39 197 85.46 -0.4740 205 89.93 -2.72
41 208 91.19 -1.67
42 210 91.32 2.26
43 213 94.39 -5.50
44 214 94.41 0.20
45 218 97.35 0.42
46 222 99.29 3.73
47 224 101.36 -2.20
48 229 102.72 0.7849 231 103.10 -1.18
50 235 103.99 14.27
51 236 104.02 6.45
52 237 104.04 0.86
53 - 106.76 5.30
54 244 107.08 -0.90
55 256 110.96 0.05
56 257 111.36 -0.20
57 260 112.76 0.46
58 273 116.21 -0.37
59 275 116.43 -0.79
60 276 116.59 -1.01
61 286 118.25 4.95
62 291 119.80 -1.38
63 294 120.25 -2.54
64 297 120.72 0.36
65 299 120.87 0.49
NGC 6913 M29
COLLIN 419 SNR 7CYG
NGC 6910 SNR 7CYGNGC 6996 NGC 7000
NGC 7062
NGC 7067
NGC 7031
IC 5146NGC 7086
NGC 7128
IC 1396
IC 1442
NGC 7235
BERK 94
NGC 7023
NGC 7160
NGC 7261
S 140
NGC 7380
NGC 7510
MARKAR 50
NGC 7654
HARVARD 21
NGC 7788NGC 7790
BERK 59
NGC 103
NGC 129
KING 14
NGC 146
66 306 122.09 1.33 KING 16
67 307 122.29 1.54 BERK 4
68 313 123.13 -6.24 NGC 281
69 314 123.99 1.10 BERK 62
70 316 124.68 -0.59 NGC 366
TRUMP 37
VdB 139
IC 1470
BYURAKAN 3
M52
CYG OB9
CYG OB7
CYG OB7
CYG OB7
CEP 0B2
CEP OB2
CEP 052
CEP OB2
CEP OB1
CAS OB2
CAS OB2
CAS OB5
CAS 055
CEP OB4
CAS OB4
CAS OB4
CAS OB4
CAS OB7
CAS OB7
CAS OB1
117 80
125
131
132
140
142
156
157
171
184
ix
Table 1. (continued)
Number in ill bll
Database OCL (deg) (deg)
Name of Cluster
Common Alias
Member of H II Region
Association S W
71
7273
7475
76
7778
7980
81
82
83
84
85
86
8788
89
90
91
92
93
94
95
96
9798
99
i00
101
102
103
104
105
319 125.90 -2.60 NGC 433
320 126.07 -3.91 NGC 436
321 126.56 -4.35 NOC 457
322 127.19 0.75 NGC 559
326 128.02 -1.76 NGC 581
328 128.22 -1.14 TRUMP 1
329 128.55 1.70 NGC 637
330 129.09 -0.35 NGC 654
332 129.34 -1.51 NGC 659
333 129.46 -0.94 NGC 663
339 130.74 2.65 STOCK 5
345 132.39 -6.16 NGC 744
349.1 134.21 -2.64 BASEL 10
350 134.63 -3.72 NGC 869
352 134.74 0.92 IC 1805
353 135.08 -3.60 NGC 884
356 135.67 2.31 CZERNIK 13
357 135.78 1.48 NGC 1027
359 135.79 -1.58 CZERNIK 8
360 135.84 0.27 BERK 65
361 136.02 -1.20 KING 4
362 136.34 -2.66 NGC 957
364 137.19 0.92 IC 1848
383 143.65 7.62 NGC 1502394 148.16 -1.29 NGC 1444
403 155.35 2.58 NGC 1624
404 157.08 -3.65 BERK 11
406 158.61 -1.58 NGC 1605
409 160.43 -17.74 IC 348
429 168.88 -2.00 NGC 1778
439 173.59 -1.70 NGC 1893
441 173.90 0.28 NGC 1931
445 174.52 1.04 NOC 1960
465 186.45 1.25 IC 2157
467 186.61 0.13 NGC 2129
MI03
h PERSEI
X PERSEI
IC 410
M36
CAS OB8
CAS OB8
CAS OB8
CAS OB8
PER OB1
PER 0B1
CAS OB6
PER OBI
CAM 0BI
CAS OB6
CAM OBI
CAM OB1
PER OB2
AUR OBI
AUR 0B2
AUR 0BI
AUR OBI
190
199
212
213
236
237
3,4
x
Table i. (continued)
Number in iii bII
Database OCL (de8) (deg)
Name of Cluster
Common Alias
Member of H II Region
Association S W
106107
108
109110
111
112
113
114
115
116117
118
119120
121
122
123
124
125
126
127
128
476 190.20 0.42 NGC 2175
481 195.63 -2.92 NGC 2169
495 202.94 2.20 NGC 2264
499 203.60 0.13 NGC 2251
502 204.62 13.96 NGC 2395
512 206.18 -2.29
515 206.42 -2.02518 207.14 -0.91
523 207.97 -3.38
527 208.56 -1.80
548 215.32 -2.30- 218.13 -0.39
559 221.67 -1.24
562 223.62 -1.27
565 224.32 -1.16
567 224.72 0.38575 226.57 -2.30
594 230.82 1.00
595 230.80 0.93598 231.41 1.96
NGC 2239
NGC 2244
COLLIN 107
COLLIN 96
V D BERGH
NGC 2286
MONOCEROS
NGC 2323
NGC 2335
NGC 2343
NGC 2353
NGC 2345
HAFFNER 10
CZERNIK 29
NGC 2414
626 236.24 0.08 NGC 2421
633 238.18 -5.53 NGC 2362
668 243.14 0.41 NGC 2467
ROSETTE
MS0
GEM OB1
MON OB1
MON OBI
MON OB2
MON OB2
MON OB1
MON OB1
CMA OB1
PUP OB2
252
273
275
287
310
311
16
xi
gas and dust from whence they came, or at least by what remains of that
material. The ages of clusters are gauged by comparing photometric and/or
spectroscopic data with stellar evolution models and the theoretical H-R
diagram. Clusters can be sorted or binned by age to evaluate the progress of
the stellar-lnterstellar interaction. One virtue of this method, which has been
employed with success by Gordon, Howard, and Westerhout (1968), Schwartz (1971),
Bash, Green, and Peters (1977), and Lelsawltz, Thaddeus, and Bash (1988), is
that the chronometer is independent of the interaction. It is feasible to
observe interstellar matter in a large number of regions, each ~50 pc in size,
with several arcmlnute spatial resolution, and possible to resolve interesting
interstellar structure, if the regions are at distances _1 kpc and _5 kpc. For
comparison, a typical open cluster diameter is ~3 pc (~i0' at 1 kpc); a 50 pc
molecular cloud is considered to be large| and the radiation energy density due
to a typical young cluster is equal to the energy density of the background
interstellar radiation field at ~40 pc. Clusters in the OCISM database can be
observed from the northern hemisphere.
The decision to include a cluster in the catalog was based primarily on data
tabulated by Alter, Ruprecht, and Vanysek (1970). Although recent analyses
suggest that the selection criteria are violated by a few of the clusters so
chosen, the offenders were retained.
Since open clusters in general are concentrated within ~100 pc of the
galactic plane, the sample of all known clusters is intrinsically biased by the
obscuring effect of dust in the Milky Way. Thus, for instance, only along
relatively transparent lines of sight are clusters more distant than a few kpc
observed optically. Such clear lines of sight are rare in the inner Galaxy (the
direction of the Carlna spiral arm is exceptional in this respect). Naturally,
selection effects present in the population of all known clusters propagate to
the OCISM sample.
Statistical properties (distances, sizes, masses, distribution in the
Galaxy, etc.) of the clusters in the OCISM database were compared to the
properties of all known clusters (see, e.g., Lyng_ 1982) by Leisawitz (1985).
In most respects, OCISM clusters are representative of the sample of all well-
studied open clusters. However, old open clusters (~108 - 109 yr) and nearby
clusters (d _1 kpc) are, by fiat, underrepresented in the database; and clusters
in quadrants Ill and IV of galactic longitude are missing because of the
declination limit.
xii
SOURCES OF INFORMATION
A systematic survey of international astronomical literature was used to
locate information about the clusters. Journal articles cited in the
blbllographles of Alter, Ruprecht, and Vanysek (1970) and Ruprecht, Balazs, and
White (1981), as well as articles cited in the Astronomy and Astrophysics
Abstracts, were scanned manually. Most of the articles considered were
published more recently than the early 1960s and the survey is essentlally
complete through late 1987.
In its present form, the database contains information from approximately
400 reference sources. Some sources are particularly valuable because they
contain self-conslstently evaluated descriptions of numerous clusters.
Information from the surveys listed in Table 2 is heavily represented in the
OCISM database.
DATABASE CONTENTS AND CATALOG FORMAT
The Catalog of Open Clusters and Associated Interstellar Matter was
formatted by the processing software created to operate on the OCISM database.
Information for each of the 128 OCISM clusters is presented on two pages. Every
datum in the catalog is presented with a "reference code." A short,
alphabetized table of references is displayed with the data for each cluster (a
comprehensive reference llst can be found at the back of this document). The
clusters are catalogued in order of ascending galactic longitude. The data
flelds are described below.
Cluster Identification
The OCISM database can facilitate research related to the interstellar
matter associated with young star clusters, an interdisciplinary endeavor, by
linking the various names by which a cluster and the interstellar gas in its
environment are referred. Molecular cloud observers, for example, relate their
discoveries to stellar associations or to well-known H II regions, but seldom to
the individual visible clusters of stars to which their clouds recently gave
birth. Optical observers are vulnerable to being uninformed that the reddening
that they measure photometrically sometimes is produced by dust in a known
foreground molecular or atomic hydrogen cloud. Observers of interstellar
clouds, in turn, may benefit by having constraints placed on the clouds'
distances.
xiii
Table 2. Open Cluster and Related Interstellar Matter Surveys
Reference Principal Contrlbutlons a
Johnson e._tal. (1961)
Johnson and Svolopoulos (1961)
Becket (1963)
Schmldt (1963)
Hoag and Applequist (1965)
Courtes, Cruvelller, and
Georgelln (1966)
Gordon, Howard, and Westerhout (1968)
Lindoff (1968)
D'Odorlco and Felli (1970)
Hagen (1970)
Becket and Fenkart (1971)
Reddish and Sloan (1971)
van Schewlck (1971)
Schwartz (1971)
Georgelln and coworkers (1970,
1973, 1975, 1976)
Harris (1976)
Fenkart and Binggell (1979)
Moffat and coworkers (1971, 1972,
1973_ 1974, 1975, 1979)
Israel (1977, 1978, 1980)
Mermilliod (1981a, b)
Nicolet (1981)
Blitz, Fich, and Stark (1982)
d, E(B-V), (B-V)t, eSpT
RV(*)
d, E(B-V), AV, eSpT
M(*)
d, eSpT
RV(H IX)
RV(H I), M(H I)
cluster age
M(dust)
d, AD, E(B-V), RV(*)
d_ AD, LD, E(B-V), AV, eSpT
M(*)
cluster proper motion
M(H II)
RV(H II), eSpT
cluster age
d, eSpT
d, AD, E(B-V), eSpT
M(H IX)
cluster age
d, E(B-V)
RV(H 2)
xiv
Table 2. (continued)
Reference Principal Contrlbutlons a
Janes and Adler (1982)
Bruch and Sanders (1983)
Wramdemark (1983)
Lynga (1981, 1983, 1987)
Hron (1987)
Leisawitz, Thaddeus, and Bash (1988)
(B-V) t
M(*)
RV(*)
d, AD, LD, E(B-V), AV, age,
eSpT, (B-V)t , RV(*), M(*)
RV(*)
RV(H2), M(H 2)
a Abbreviations:
d = distance; AD = cluster angular diameter; LD fficluster linear diameter;
E(B-V) ffireddening; AV = vlsual extinction; eSpT = cluster member of
earliest main sequence spectral type (photometric or spectroscopic type);
(B-V)t = color of main sequence turnoff; RV = radial velocity; M = mass;
* = pertaining to cluster stars; H II ffipertaining to associated ionized
gas; H I = pertaining to associated or potentially associated atomic gas;
H 2 = pertaining to associated or potentially associated molecular gas.
XV
Essentially all known open clusters have been assigned "OCL" numbers in the
Catalog of Star Clusters and Associations (Alter, Ruprecht, and Vanysek 1970) or
in its supplement (Ruprecht, Balazs, and White 1981). Clusters with NGC or
Messier (M) numbers commonly are referred to by those numbers. Most young
clusters are members of OB associations.
Many of the clusters in the OCISM database ionize H II regions because they
contain 0 stars. Since the clusters are observed optically, the H II regions
are characterized by nebulosity which can be seen in the Palomar Observatory Sky
Survey and in the Parker, Gull, and Kirschner (1979) Emission Line Survey of the
Milky Way. Most of the nebulae were catalogued by Sharpless (1959) and have "S"
numbers. A handful of the H II regions are referred to by their Westerhout
(1958) radio source (W) numbers.
Spatial Coordinates
Galactic and equatorial coordinates of the nominal cluster centers are
tabulated. The galactic longitudes and latitudes are in units of degrees.
Hours and minutes of right ascension are shown, as are degrees and arcminutes of
declination. The equatorial coordinates are for epoch 1950.0.
Radial Velocities
Approximate coincidence of stellar and interstellar gas radial velocities
often is the only clue that an association may exist between a star cluster and
a particular parcel of interstellar material.
All radial velocities in the OCISM database are in the reference frame of
the Local Standard of Rest (LSR). Stellar radial velocities and, occasionally,
H II region velocities are published in the heliocentric reference frame. To
convert to the LSR reference frame, a standard solar motion of 20 km s -1 in the
direction (iii , bii ) = (5672, +22?8) was assumed.
• Stellar Clusters
The velocity dispersion among the stars in a typical open cluster is of the
order of I km s -I (see, e.g., Mathieu 1986) and, in principle, the cluster
velocity is the average of the individual stellar velocities. Because of zero-
point calibration uncertainties, intrinsically broad spectral lines in early-
type stars, contamination of measurements by binary orbital velocities, and the
fact that only a limited number of stars in open clusters have been observed
with sufficiently high spectral resolution, the radial velocities of most young
open clusters are known with an accuracy no better than *i0 km s -1 (Hron 1987).
xvi
A theoretical radial velocity which is the velocity that the cluster, at a
known distance, would have if it followed a circular orbit around the galactic
center, was calculated for each OCISM cluster using the rotation curve model of
Brand (1986). The dispersion of the differences between derived radial
velocities and measured velocities, when available, is approxlmately 14 km s -1
(cf. Brand 1986; Hron 1987). For a large number of clusters, the "circular
velocity" is practically as reliable an estimator of cluster radial velocity as
any existing observation. This unfortunate state of affairs will persist until
modern techniques and instruments are applied to measure the velocities of a
large number of young clusters.
Lyng_ (1987) and Hron (1987) incorporated in their catalogs the radial
velocities compiled in unpublished work by Wramdemark. Agreement among the
velocities credited to these sources therefore is not accidental.
• H II Regions
Radio and optical recombination lines provide information about the radial
velocities of H II regions. Recombination lines are intrinsically broad (a
typical FWHM linewidth is ~25 km s-l), but the centroid velocities can be
measured with an accuracy of the order of 1 km s -1 in the case of radio lines or
a few km s -1 in the case of optical lines.
Differences among reported H II region radial velocities measured using
radio recombination lines more often than not can be attributed to peculiar
motions of the ionized gas and the fact that different lines of sight are
observed (or that the observations are made with beam sizes that differ). For
example, significant deviations from the "mean H II region velocity" often occur
along lines of sight that contain molecular clouds. Whenever possible, the
velocity tabulated in the OCISM database is one that is supposed to characterize
the mean H II region velocity. In some cases, several distinct major emission
features are reported in an article! these individual features are tabulated
here if they are not too numerous.
• Molecular Cloudsl
The mean radial velocities of interstellar molecular clouds can be measured
with an uncertainty less than 1 Dun s -I. Molecular clouds are discovered and
studied most commonly with observations of the spectral llne emission from the
fundamental rotation transition of carbon monoxide (12CO) molecules. In most
cases, 12C0 spectral lines are the sources of tabulated "CO cloud" velocities.
In some cases, however, 13C0 or H2CO line velocities are catalogued.
xvii
Different molecular clouds that are potentially associated with the same
open cluster may have different radial velocities. Leisawitz, Thaddeus, and
Bash (1988) describe and systematically apply criteria to decide if a molecular
cloud is "associated" or "potentially associated" with a cluster. All major
emission components reported to have been contributed by associated or
potentially associated molecular clouds are recorded in the OCISM database. The
Blitz, Fich, and Stark (1982) catalog of CO radial velocities toward H II
regions also is frequently cited.
Pr.__per Motions
Absolute proper motions (#x and #y) of the clusters are tabulated, in units
of arcseconds per century. As is conventional, #x = #a c°s6 and #y = #6 for the
right ascension component of proper motion _= and the declination component _6"
Distance
Among the many factors that might motivate one to study the interstellar
matter associated with open clusters is the fact that, by astronomical
standards, the distances of these objects are well known. Thus, masses of
associated ionized, atomic, and molecular gas components and, for example,
infrared luminosities of interstellar clouds can be measured with
uncharacteristically small errors. The scatter among different authors'
determinations of a cluster's distance indicates that the mean external error in
distance for clusters in the OCISM database is ~15%; the corresponding
uncertainty in gas mass or dust luminosity is ~30%.
A large number of researchers have constructed from photometric data
dereddened color-magnitude diagrams (CMD) and, by the method of main sequence
fitting (i.e., comparison with a "calibrated" CMD), have derived distance
moduli. Absolute distance moduli, and cluster distances, generally are obtained
by assuming a standard selective extinction ratio (e.g., Av/E(B-V) = 3.0 or 3.1)
to determine the extinction.
The distances to some open clusters have been derived using the method of
spectroscopic parallax. Generally, distances derived in this way are not
tabulated because only a few stars in each cluster are spectroscopically
observed and, with poor statistics, the method is inferior to main sequence
fitting (see_ e.g., Hoag and Applequist 1965).
Many of the distances entered in the OCISM database are values that were
adopted, rather than determined, by the authors cited. For example, Neckel
(1967) adopted distances that were measured by Johnson et al. (1961).
.°.
XVIII
Angular Diameter
Rigorous determination of a star cluster's angular diameter can be made by
counting stars and calculating the radial distribution of stellar surface
density (see, e.g., Danilov, Matkin, and Pyl'skaya 1985 and references therein).
Such measurements suggest that clusters often have high density cores (or
nuclei) and relatively low density halos (or coronas). Thus, what is meant by
mthe cluster angular diameter" is somewhat ambiguous. When an author reports
measurements of core and halo diameters, both are entered in the OCISM database.
In most cases, cluster angular diameters are measured directly by inspection
of a photographic plate or print. The cluster size determined in this manner
may be investigator-dependent and may be a function of the limiting magnitude
wlth which the cluster was observed.
The print inspection method was employed by Lyng_, who estimated the nuclear
sizes of nearly all open clusters (Lyng_ 1981; 1983; 1987). Lyng_'s
measurements are valuable particularly because of their self-conslstency. His
cluster diameters are contained in the 0CISM database.
Linea_...._r Diameter
The llnear dlameter8 of well-scudled open clusters are known because their
distances and angular sizes have been measured. In addition to published
estimates of the linear diameters of clusters, the OCISM database includes a
value for the size of each cluster which is based on an adopted distance and
angular diameter. The distance adopted for this calculation is either the
average of two recently reported measurements or the average of all database
distance entries if the dispersion among the entries is small. The angular
diameters of Lyng_ were assumed.
Estimates have been published for the ages of a large number of open
clusters based on several methods, most of which are related. Two premlses
generally are implicit in age determinations: (1) the stars in a cluster form
coevally! and (2) the main sequence lifetime of the most massive unevolved
cluster member is an estimator of cluster age. There is no consensus among
researchers as to the validity of the first assumption (of. Dooml De Greve, and
de Loore 1985; Scahler 1985). For 8tudles of the interaction between clusters
and their surrounding Interstellar matter, however, chls may not be problematic
because the derived age will be a measure of the time elapsed since the
xix
formation of the most massive cluster stars and these are the stars that can be
assumed to dominate the interaction. Only upper limits can be derived for the
ages of clusters that are so young (_5 Myr) that they contain no evolved massive
stars. In some cases, however, ages of very young clusters have been estimated
by noting that low-mass stars have not yet reached the zero-age main sequence
and by comparing photometric data with theoretical pre-maln sequence isochrones
(see, e.g., Moffat 1972).
Not all authors who report information sufficient to calculate a cluster's
age also report the age implied by their observation. Typically what is
published is the (B-V) color of the main sequence turnoff in the (dereddened)
CMD, the corresponding "photometric spectral type," or the spectroscopically
determined type of the brightest and bluest star on the cluster's main sequence.
The information needed to interpret these parameters as measures of cluster age
can be found in numerous artlcles (e.g., Lindoff 1968_ Harris 1976_ Janes and
Adler 1982_ Lyng_ 1982_ Mermilllod and Maeder 1986).
Published numerical estimates of the ages of clusters are entered in the
OCISM database. Also included in the database are "earliest" main sequence
spectral types and main sequence turnoff colors (in magnitudes). Lower case
letters are used to designate photometrically determined stellar types and upper
case letters are used for true spectral classifications.
Masses
In principle, one could measure the mass of stars in a cluster and inventory
the masses of all interstellar matter components associated with the cluster to
determine the "efficiency" with which stars form from dense interstellar clouds.
What may well be an insurmountable barrier stands in the way of achieving this
objective: to measure star formation efficiency, one must account correctly for
all of the interstellar matter that participates in a cluster's formatlon_
obviously, material that has participated (or will participate) in the formation
of a significant additional stellar population must not be included in the
analysis. At the very least, however, it is possible, and therefore sensible,
to assemble the data needed to address this fundamental issue.
Considerable care is required to determine what components of molecular and
atomic material observed in the direction of a star cluster are indeed
associated with the cluster. On the other hand_ it is generally unambiguous
that ionized gas detected in the direction of a cluster with O star members is
associated with the cluster. Fortunately, clear signs of interaction between
H II regions and dense interstellar clouds, such as "bright rims" on the cloud
xx
surfaces, occasionally enable one to conclude with confidence that a particular
molecular cloud is associated with a cluster (see, e.g., Lelsawltz, Thaddeus,
and Bash 1988). More often, the only hint that a particular atomic or molecular
cloud is associated with a cluster is a near-colncldence of stellar and
interstellar radial velocities (see, e.g., Gordon, Howard, and Westerhout 1968).
Masses of ionized, atomic, and molecular gas components are derived with
some assumption made about the distance of the emitting material. Masses
reported in the OCISM database are the published masses; no adjustment has been
applied to "correct" these values to a common reference distance, even if the
distance assumed is discrepant with a cluster's distance.
• Stellar
The masses of large samples of clusters have been studied by Schmldt (1963),
Reddish and Sloan (1971), and Bruch and Sanders (1983). Reddish and Sloan
derived masses relative to the mass of Trumpler 1. The cluster masses credited
to them in the OCISM database were derived by us assuming that Trumpler 1 has a
mass of 63 M@ (Schmldt 1963)• Cluster masses quoted by Bruch and Sanders also
are based on the Reddish and Sloan relative masses. Bruch and Sanders derived a
new conversion factor for absolute mass which turned out to be close to the
Schmldt mass estimate for Trumpler I. Close agreement between the Reddish and
Sloan masses and the Bruch and Sanders masses shown in the catalog is therefore
fortuitous.
• Atomic Gas
Aside from the difficulty associated with determining that a cloud of atomic
hydrogen is physically related to an open cluster (see above), there is the
added complication that individual H I clouds, seen as features in the 21-cm
line profile, generally are difficult to disentangle from "background" emission•
Only Gordon, Howard, and Westerhout (1968) and Tovmassian e._ttal. (1973) have
published systematic studies of H I emission from the neighborhoods of open
clusters (Dr. Bahia, of Boston University, presently is observing H I emission
from regions around a number of OCISM clusters).
xxi
" Ionized Gas
Published estimates of the mass of gas ionized by a young open cluster that
are based on the flux from the entire H II region (or at least the bulk of it)
are recorded in the OCISM database. Most of these estimates come from
observations of radio continuum emission and thus are not affected by
extinction.
• Molecular Clouds
The dynamical timescale for the interaction of molecular clouds and open
clusters was first determined observationally by Bash, Green, and Peters (1977).
The interaction has since been investigated in greater detail by Leisawitz,
Thaddeus, and Bash (1988).
In the Leisawitz e=_ta._l.CO survey, a distinction was made between catalogued
molecular clouds that can be considered with confidence to be "associated" with
clusters, clouds that are "potentially associated," and clouds that can be
considered with confidence not to be associated. A single entry of data from
the Leisawitz e..tta._l.survey is made in the OCISM database when the molecular
clouds found in the region around a cluster are "potentially," but not
conclusively, associated with the cluster! when some of the clouds are
considered "associated,*' two entries are made, the second corresponding to
"associated" clouds only and the first corresponding to the "associated" and the
"potentially associated" clouds. The tabulated masses are sums of the masses of
the clouds in each category. Some regions that were observed by Leisawitz et
al. contained no CO emission considered to be even potentially associated with
the clusters.
Since many H II region neighborhoods have been mapped for CO emission by
millimeter wave observers, information about the masses of molecular clouds near
very young open clusters is plentiful. A few H II regions in particular have
recieved much attention, notably M 17 (NGC 6618) and W 3 (adjacent to IC 1805).
A plethora of excellent articles have been neglected, for no reason other than
to conserve space in the catalog, when the information they provide is
essentially redundant with data already entered. Generally an entry is not made
in the OCISM database for articles in which only a small portion of a molecular
cloud is discussed•
xxii
• Dust
In rare instances, a value has been published for the mass of dust
associated with an open cluster. D'Odorico and Felli (1970) conducted the only
systematic survey of this nature of which we are aware. Although the D'Odorico
and Felli masses are tabulated, it is important to note that, unlike the
database entries for the masses of interstellar gas components, these dust mass
estimates correspond only to dust concentrated in a relatively small region
around the stars.
A crude but reasonable approximation for the total mass of dust in the
extended cluster environment can be obtained by sunnning the masses of the
various associated interstellar gas components and dividing by i00 since the
"normal" interstellar gas-to-dust mass ratio is ~100 (see Savage and Mathis 1979
and references therein).
Visual Extinction
In a majority of cases, values published for the visual extinction of a
cluster are derived from a measurement of the (B-V) color excess (reddening)
with an assumed value of 3.1 or 3.0 for the ratio Av[E(B-V). Of course, the
true distance modulus of a cluster will be estimated incorrectly if the
selective extinction ratio assumed to obtain the extinction is not strictly
applicable to the line of sight to the cluster.
Reddening
The reddening of cluster stars by foreground dust is deduced from multi-
wavelength photometric studies of the clusters• Even when photometry in a
system other than UBV is discussed, it is conventional for an equivalent (B-V)
color excess to be provided (see, e.g., Nicolet 1981; Janes and Adler 1982).
It is not uncommon for an observer to report a finding of variable reddening
toward a young cluster. In other words, the cluster stars show excessive
scatter about the nominal main sequence relation in the color-color diagram
(e.g., [U-B] shown as a function of [B-V]). Variable extinction is an
indication of the presence of a foreground molecular or atomic cloud (which may
or may not be physically related to the cluster). What is most often published,
and what is tabulated in the catalog, is a value for the mean cluster reddening.
..°
XXIII
PROCESSING AND ANALYSIS SOFTWARE
The 0ClSM database is available on request from the NSSDC. It will be
distributed with supporting documentation and with processing and analysis
software coded in FORTRAN. The programs to operate on the database are menu-
driven and should be self-explanatory. The basic processing options are as
follows:
a) "change output device and/or format" - user can select output to file or to
terminal; complete or limited amounts of output can be requested;
b) "select clusters on which to operate" - all clusters or a specifiable
subset of the clusters in the database can be considered;
c) "type llst of selected clusters" - llst includes cluster coordinates and
aliases;
d) "print catalog of cluster information" - in standard output format, this
prints the database catalog as it appears on the following pages; a less
voluminous output is generated if requested with option (a);
e) "mask out some references" - enables consideration of a subset of database
entries selected either according to how currently articles were written or
to specifiable article or compilation names (one might wish, for example,
to examine database entries from the compilations of Lyng_); to generate a
complete table of reference codes and corresponding references, send output
to a file and select option (h) (see below); ask the program for a more
detailed explanation and it will tell you the "maskin_ rules";
f) "average unmasked data and tabulate" - produces table showing average value
of a database parameter (e.g., distance) for each of the selected clusters;
table includes standard deviation and number of database entries averaged
(only entries that were not masked with option (e) are averaged);
g) "restore database" - necessary after masking either to mask differently or
to proceed with no masking;
h) "type complete llst of database references" - bibliography of all
references cited wlth corresponding reference codes (132 column output
field); codes are used to identify individual articles for "masking."
xxiv
Acknowledgments
I am grateful to Dr. Gosta Lyng_ who, long ago, encouraged me to pursue this
compilation. His own Catalog of Open Cluster Data provided great inspiration as
well as a wealth of information. I thank Dr. Wayne Warren for agreeing to
incorporate the OCISM database in the NSSDC archives and to provide the support
needed to distribute the database. The database was updated and prepared for
presentation while I was supported first as a National Research Council Resident
Research Associate at NASA_GSFC and later by a grant from the NASA Space
Astrophysics Data Analysis Program (SADAP proposal R033-87).
XXV
CATALOG OF OPEN CLUSTERS AND ASSOCIATED INTERSTELLAR MATTER
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_rU.S. GOVIERNIvlENT PRINTINGOFFICE: 7.9 Be. 526- 06_8600_
270
NatiOnal Aeronaut,s andSpace Adn_nlstratlon
1. Report No.
NASA RP-1202
4. Title and Subtitle
Report Documentation Page
2. Government Accession No. 3. Recipient's Catalog No.
5. Report Date
June 1988
Catalog of Open Clusters and Associated InterstellarMatter
7. Author(s)
David Leisawitz
9. Performing Organization Name and Address
Goddard Space Flight CenterGreenbelt, Maryland 20771
12. Sponsoring Agency Name and Address
National Aeronautics and Space Administration
Washington, D .C. 20546-0001
6. Performing Organization Code
680
8. Performing Organization Report No.
88B0152
10. Work Unit No.
11. Contract or Grant No.
13. Type of Report and Period Covered
Reference Publicat ion
14. Sponsoring Agency Code
15. Supplementary Notes
16. Abstract
The Catalog of Open Clusters and Associated Interstellar Matter stmmm_izes
observations of 128 open clusters and their associated ionized, atemic, andmolecular interstellar matter. Cluster sizes, distances, radial velocities,ages, and masses, and the radial velocities and masses of associated inter-stellar medium components, are given. The database contains information fremapproximately 400 reference sources published in the scientific literaturebefore 1988.
17. Key Words (Suggested by Author(s))
Open ClustersInterstellar Matter
Astron_ny Database
19. Security Classif. (of this report)
Unclassified
NASA FORM 1(126 OCT 86
18. Distribution Statement
Uncl ass ified-Unl imit ed
20. Security Classif. (of this page)
Unclassified
Subject Category 90
21. No. of pages
300
22. Price
A13
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