Abstract

Multicolour photometry of the stellar populations in five fields in the third Galactic quadrant centred on the clusters NGC 2215, NGC 2354, Haffner 22, Ruprecht 11, and ESO489 SC01 is interpreted in terms of a warped and flared Galactic disc, without resort to an external entity such as the popular Monoceros or Canis Major overdensities. Except for NGC 2215, the clusters are poorly or unstudied previously. The data generate basic parameters for each cluster, including the distribution of stars along the line of sight. We use star counts and photometric analysis, without recourse to Galactic-model-based predictions or interpretations, and confirms earlier results for NGC 2215 and NGC 2354. ESO489 SC01 is not a real cluster, while Haffner 22 is an overlooked cluster aged ∼2.5 Gyr. Conclusions for Ruprecht 11 are preliminary, evidence for a cluster being marginal. Fields surrounding the clusters show signatures of young and intermediate-age stellar populations. The young population background to NGC 2354 and Ruprecht 11 lies ∼8–9 kpc from the Sun and ∼1 kpc below the formal Galactic plane, tracing a portion of the Norma-Cygnus arm, challenging Galactic models that adopt a sharp cut-off of the disc 12–14 kpc from the Galactic Centre. The old population is metal-poor with an age of ∼2–3 Gyr, resembling star clusters like Tombaugh 2 or NGC 2158. It has a large colour spread and is difficult to locate precisely. Young and old populations follow a pattern that depends critically on the vertical location of the thin and/or thick disc, and whether or not a particular line of sight intersects one, both, or none.

1 INTRODUCTION

There is a long tradition of using Galactic open clusters to study the structure and evolution of the Milky Way disc. Such ensembles contain stars with common properties, making it possible to establish solid estimates for their basic parameters (metallicity, age, and distance) in statistical fashion (Netopil, Paunzen & Carraro 2015). Relationships between parameters, such as the age–metallicity relation, the radial and vertical metallicity gradients, and so forth, make it possible to characterize the disc, and understand how it formed and evolved (Magrini et al. 2015).

The simple spatial distribution of star clusters permits us to derive global structural properties for the disc, such as the radial and vertical scalelengths, the disc extent, and its spiral structure (Popova & Loktin 2005, 2008; Vázquez et al. 2008; Baume, Carraro & Momany 2009; Carraro et al. 2010, 2015). Over the years such studies have generated a picture of the Milky Way disc that is becoming more and more solid, including: (1) the location and shape of the spiral arms close to the Sun (Perseus, Orion, and Carina-Sagittarius), (2) evidence that the outer disc is warped and flared, and, finally, (3) evidence that the Galactic disc does not have a clear density and luminosity cut-off, but most probably only a break, in full analogy with spiral galaxies in the local universe (Laine et al. 2014).

A novel approach to such studies was recently developed, beginning with early studies of the third Galactic quadrant (180° ≤ l ≤ 270°) by Carraro et al. (2005) and Moitinho et al. (2006). It consists of analysing the distribution of stars not only in well-known star clusters, but also in their surrounding background and foreground fields. That is made possible by the structure and geometry of the Galactic disc in the third quadrant, which displays a significant warp. While the warp was noticed many years ago (Vogt & Moffat 1975; Carney & Seitzer 1993), it is only recently that the implications have been considered properly (Momany et al. 2006). Essentially, because of significant disc warping in the third quadrant, there are lines of sight that may completely cross the thin and thick disc. It is particularly important for the young thin disc, which, once intersected, produces prominent features in colour–magnitude diagrams (CMDs) for the field, popularized as blue plumes. The nature of the features (colour width, magnitude, tilting, and so forth) depends on the line of sight in a way that makes it possible in theory to reconstruct the properties of the thin disc by viewing in different Galactic directions (Carraro 2015).

Such a scenario has recently become more complex as a result of two additional evidences. First, the thick disc is also warped, and that produces additional features in CMDs that, in the past, were often interpreted as evidence of an extragalactic population (Canis Major and/or Monoceros). Secondly, the thick and thin disc are also flared (Lopez-Corredoira & Molgó 2014), implying that, occasionally, one can find young populations far from the expected disc locus (Feast et al. 2015; Kalberla et al. 2014; Carraro et al. 2015). It is therefore important to explore new directions in such studies.

We have adopted the strategy of centring our fields on catalogued open clusters (Dias et al. 2002). It is particularly efficient and successful since it permits us first of all to derive properties of previously unstudied groups, while at the same time providing an indication of the quality of our data, since in several cases the fields we select contain clusters for which some data are available for comparison. From such considerations, we selected for study five fields strategically located in the third quadrant, and present the results here. The identity of the fields and their equatorial and Galactic coordinates are listed in Table 1.

Table 1.

Equatorial and Galactic coordinates of programme fields, as listed by WEBDA.

ClusterRA(2000.0)Dec. (2000.0)lb
(hh:mm:ss)(dd:mm:ss)(°)(°)
ESO489SC0106:04:58−26:44:00232.928−21.419
NGC 221506:20:49−07:17:00215.993−10.102
Ruprecht 1107:07:21−20:48:00233.267−5.981
NGC 235407:14:10−25:41:24238.368−6.792
Haffner 2208:12:27−27:54:00246.7753.377
ClusterRA(2000.0)Dec. (2000.0)lb
(hh:mm:ss)(dd:mm:ss)(°)(°)
ESO489SC0106:04:58−26:44:00232.928−21.419
NGC 221506:20:49−07:17:00215.993−10.102
Ruprecht 1107:07:21−20:48:00233.267−5.981
NGC 235407:14:10−25:41:24238.368−6.792
Haffner 2208:12:27−27:54:00246.7753.377
Table 1.

Equatorial and Galactic coordinates of programme fields, as listed by WEBDA.

ClusterRA(2000.0)Dec. (2000.0)lb
(hh:mm:ss)(dd:mm:ss)(°)(°)
ESO489SC0106:04:58−26:44:00232.928−21.419
NGC 221506:20:49−07:17:00215.993−10.102
Ruprecht 1107:07:21−20:48:00233.267−5.981
NGC 235407:14:10−25:41:24238.368−6.792
Haffner 2208:12:27−27:54:00246.7753.377
ClusterRA(2000.0)Dec. (2000.0)lb
(hh:mm:ss)(dd:mm:ss)(°)(°)
ESO489SC0106:04:58−26:44:00232.928−21.419
NGC 221506:20:49−07:17:00215.993−10.102
Ruprecht 1107:07:21−20:48:00233.267−5.981
NGC 235407:14:10−25:41:24238.368−6.792
Haffner 2208:12:27−27:54:00246.7753.377

Readers may note the extreme nature of the lines of sight selected, since they cover a broad region of the third Galactic quadrant, both in longitude and in latitude. One field lying well below the Galactic plane (ESO489 SC01) was selected in an attempt to find a direction where contamination by the thin and thick discs is negligible. A line of sight above the plane (Haffner 22) and opposite with respect to the formal Galactic plane (ESO489 SC01) was also chosen, since that is additionally where one expects minimal contamination by thin or thick disc populations. The other three fields (Ruprecht 11, NGC 2215, and NGC 2354) span a Galactic latitude range where one expects to find important but different contaminations by stars belonging to the young thin disc, the old thin disc, and perhaps also the thick disc. Except for the star cluster NGC 2215, the fields have never received proper attention previously.

The five selected fields turn out to be very complex, and identification of the different stellar populations has been difficult. To tackle the challenge as efficiently as possible, here we make use of a combination of star counts and photometric analysis in order to separate different populations and establish their intrinsic properties (distance, reddening, and age) and spatial distributions. Our approach is not tied to any Galactic model, in contrast with studies linked to the Besancon (Robin et al. 2003) or Trilegal (Girardi et al. 2005) models, which assume an a priori description of the Milky Way, and which led to erroneous results in the past. Among them we recall the claim for a sharp cut-off in the light and mass distribution along the Galactic plane (Robin, Creze & Mohan 1992, revised by Carraro et al. 2010), and the interpretation of the Canis Major over density as a dwarf galaxy (Bellazzini et al. 2004, revised by Moitinho et al. 2006; Momany et al. 2006).

We believe that the present study shows clearly that features belonging to the thin and thick disc are not evenly distributed across the third Galactic quadrant, but follow a pattern where the thin disc is warped and organized in spiral arms (Orion, Perseus, and Norma-Cygnus), in confirmation of our earlier results (Carraro et al. 2005; Moitinho et al. 2006).

The layout of this work is as follows. Section 2 presents an overview of the literature and earlier results, if any, for the clusters centred in our fields. Section 3 illustrates how we collected and reduced the data, including information on calibration, merging with 2MASS, and astrometry. A preliminary discussion of the CMDs is provided in Section 4. In Section 5, we make use of star counts and photometric diagrams to provide estimates of each cluster's radius, age, distance, and reddening. We then discuss the various stellar populations in the fields in Section 6. Finally, Section 7 summarizes our findings.

2 LITERATURE OVERVIEW

The fields studied here contain catalogued Galactic open clusters that received different levels of attention previously. Although this study focuses on fields peripheral to each cluster, their presence offers the possibility of assessing the quality of our photometry as well as deriving parameters for those clusters not studied previously. It is therefore important to review what is known about each.

NGC 2215

NGC 2215 was studied recently by Fitzgerald et al. (2015), who provide a summary of previous investigations with emphasis on the large differences in its parameters obtained over the years. It is not necessary to repeat their discussion here, but it is worth noting that large discrepancies in the derived parameters for clusters are unfortunately quite common in the literature (Netopil et al. 2015). The photometry of Fitzgerald et al. (2015) covers a region measuring ∼9 arcmin on a side, suitable for sampling the cluster core, which appears to lie within a radius of ∼5 arcmin. Their derived parameters are: distance ∼800 pc from the Sun, reddening EBV = 0.26, and age slightly less than 1 Gyr. The cluster seems to harbour only one red giant, for which Mermilliod et al. (2008) measured a radial velocity. Its membership is difficult to assess, since there are no radial velocity measures for main-sequence (MS) stars.

Two additional points render the cluster particularly interesting. First, the metallicity found by Fitzgerald et al. (2015) is very low for the age and Galactic location of the cluster (Magrini et al. 2009). Secondly, the authors refer to possible contamination from Perseus arm stars lying background to the cluster, a feature that could not be tested properly given their small field of view (FOV). Such a population would be as old as the Sun (∼4.5 Gyr), but significantly more metal-poor ([Fe/H] ∼ −0.8), and located at a heliocentric distance of ∼4 kpc.

These parameters are, however, only suggested, and not inferred via isochrone fitting or any other method, and no clear mention is done of which stars would constitute this old population. This goes without saying that a 4.5 Gyr population would hardly be part of a spiral arm, which is expected to be mostly composed of gas, dust and very young stars.

NGC 2354

This cluster has not been the subject of a global study previously, the most comprehensive study being that of Claria, Mermilliod & Piatti (1999), although limited to the red giants. Those authors note that a better age determination is awaiting more precise CCD data to replace the old, photographic data of Durbeck (1960) and the determination of membership of MS stars. Their solution, based on available data, is: reddening EBV = 0.13, age ∼1 Gyr, and distance about 1.5 kpc. The results largely differ from more recent estimates obtained by Kharchenko et al. (2005, 2013), who suggest a much younger age (200 Myr) and a distance of almost 4 kpc. A recent spectroscopy study by Reddy, Giridhar & Lambert (2015) finds the cluster to be metal poorer than the Sun ([Fe/H = −0.19 ± 0.04])

Haffner 22

This cluster is unstudied, although from available data Kharchenko et al. (2013) derived an age of 1.54 Gyr, a distance of 2796 pc, and a reddening EBV = 0.208.

Ruprecht 11

No formal study of this cluster is available in the literature. From available data Kharckenko et al. (2013) derived an age of 630 Myr, a distance of 1958 pc, and a reddening EBV = 0.437.

ESO489 SC01

To our knowledge no study of this cluster is available in the literature.

3 OBSERVATIONS AND DATA REDUCTION

Observations of programme clusters were obtained in March 2006 and 2009 using the Y4KCAM camera attached to the Cerro Tololo Inter-American Observatory (CTIO, Chile) 1-m telescope, operated by the SMARTS consortium1. The camera is equipped with an STA 4064 × 4064 CCD2 with 15-μm pixels, yielding a scale of 0.289 arcsec pixel−1 and an FOV of 20 arcmin × 20 arcmin at the Cassegrain focus of the telescope.

The FOV is large enough to incorporate each cluster's core region (see below), and also sample the surrounding Galactic field. The pointings are shown in Fig. 1, which contains CCD images for the five fields.

Bias and flat-field corrected images (150m exposure) in B for the five programme fields. Bottom row: ESO489SC01. Middle row: Haffner 22 and Ruprecht 11. Top row: NGC 2215 and NGC 2354. Each field is 20 arcmin on a side.
Figure 1.

Bias and flat-field corrected images (150m exposure) in B for the five programme fields. Bottom row: ESO489SC01. Middle row: Haffner 22 and Ruprecht 11. Top row: NGC 2215 and NGC 2354. Each field is 20 arcmin on a side.

Table 2 presents a log of our UBVI observations, all carried out in photometric, good-seeing conditions. Our instrumental UBVI photometric system was defined by use of a standard broad-band Kitt Peak UBVIkc set of filters3. Transformation from our instrumental system to the standard Johnson–Kron–Cousins system, and corrections for extinction, were established each night by observing Landolt's area PG 1047 and SA 98 (Landolt 1992) multiple times, through air-masses as close as possible to those for the target clusters. Field SA 98 in particular includes over 40 well-observed standard stars, with good magnitude and colour coverage: 9.5 ≤ V ≤ 15.8, −0.2 ≤ (BV) ≤ 2.2, −0.3 ≤ (UB) ≤ 2.1.

Table 2.

A log of UBVI photometric observations for the fields of study.

DateFieldFilterExposures (s)airmass (X)
2006 Mar 19Ruprecht 11U2×30, 200, 18001.04–1.09
B30,150,9001.01–1.02
V10, 30,100, 7001.02–1.10
I5, 10, 30,100,6001.02–1.11
2009 Mar 18ESO489SC01U30,200,20001.08–1.09
B20,150,15001.25–1.27
V10,100,9001.17–1.19
I10,100,9001.39–1.42
2009 Mar 17NGC 2354V3×100,9001.07–1.08
B20,150, 15001.18–1.20
U30, 200,20001.02
I2×100,9001.12–1.13
2009 Mar 19NGC 2215U30,2×200,20001.17–1.19
B2×20, 150,15001.30–1.33
Haffner 22U30,200,20001.29–1.32
B2×20, 150, 15001.05–1.06
2009 Mar 20NGC 2215V3×10,9001.16–1.17
I10,100,9001.21–1.23
Haffner 22V10,100,9001.02
I10.100.9001.01
2009 Mar 21NGC 2354V20,100,9001.15–1.16
B20,150, 15001.05–1.06
U200,20001.10–1.02
I20, 100,9001.10–1.11
DateFieldFilterExposures (s)airmass (X)
2006 Mar 19Ruprecht 11U2×30, 200, 18001.04–1.09
B30,150,9001.01–1.02
V10, 30,100, 7001.02–1.10
I5, 10, 30,100,6001.02–1.11
2009 Mar 18ESO489SC01U30,200,20001.08–1.09
B20,150,15001.25–1.27
V10,100,9001.17–1.19
I10,100,9001.39–1.42
2009 Mar 17NGC 2354V3×100,9001.07–1.08
B20,150, 15001.18–1.20
U30, 200,20001.02
I2×100,9001.12–1.13
2009 Mar 19NGC 2215U30,2×200,20001.17–1.19
B2×20, 150,15001.30–1.33
Haffner 22U30,200,20001.29–1.32
B2×20, 150, 15001.05–1.06
2009 Mar 20NGC 2215V3×10,9001.16–1.17
I10,100,9001.21–1.23
Haffner 22V10,100,9001.02
I10.100.9001.01
2009 Mar 21NGC 2354V20,100,9001.15–1.16
B20,150, 15001.05–1.06
U200,20001.10–1.02
I20, 100,9001.10–1.11
Table 2.

A log of UBVI photometric observations for the fields of study.

DateFieldFilterExposures (s)airmass (X)
2006 Mar 19Ruprecht 11U2×30, 200, 18001.04–1.09
B30,150,9001.01–1.02
V10, 30,100, 7001.02–1.10
I5, 10, 30,100,6001.02–1.11
2009 Mar 18ESO489SC01U30,200,20001.08–1.09
B20,150,15001.25–1.27
V10,100,9001.17–1.19
I10,100,9001.39–1.42
2009 Mar 17NGC 2354V3×100,9001.07–1.08
B20,150, 15001.18–1.20
U30, 200,20001.02
I2×100,9001.12–1.13
2009 Mar 19NGC 2215U30,2×200,20001.17–1.19
B2×20, 150,15001.30–1.33
Haffner 22U30,200,20001.29–1.32
B2×20, 150, 15001.05–1.06
2009 Mar 20NGC 2215V3×10,9001.16–1.17
I10,100,9001.21–1.23
Haffner 22V10,100,9001.02
I10.100.9001.01
2009 Mar 21NGC 2354V20,100,9001.15–1.16
B20,150, 15001.05–1.06
U200,20001.10–1.02
I20, 100,9001.10–1.11
DateFieldFilterExposures (s)airmass (X)
2006 Mar 19Ruprecht 11U2×30, 200, 18001.04–1.09
B30,150,9001.01–1.02
V10, 30,100, 7001.02–1.10
I5, 10, 30,100,6001.02–1.11
2009 Mar 18ESO489SC01U30,200,20001.08–1.09
B20,150,15001.25–1.27
V10,100,9001.17–1.19
I10,100,9001.39–1.42
2009 Mar 17NGC 2354V3×100,9001.07–1.08
B20,150, 15001.18–1.20
U30, 200,20001.02
I2×100,9001.12–1.13
2009 Mar 19NGC 2215U30,2×200,20001.17–1.19
B2×20, 150,15001.30–1.33
Haffner 22U30,200,20001.29–1.32
B2×20, 150, 15001.05–1.06
2009 Mar 20NGC 2215V3×10,9001.16–1.17
I10,100,9001.21–1.23
Haffner 22V10,100,9001.02
I10.100.9001.01
2009 Mar 21NGC 2354V20,100,9001.15–1.16
B20,150, 15001.05–1.06
U200,20001.10–1.02
I20, 100,9001.10–1.11

The basic calibration of the CCD frames was done using the Yale/SMARTS Y4K reduction script based on the iraf4 package ccdred, and the photometry was performed using iraf's daophot and photcal packages. Instrumental magnitudes were extracted following the point spread function (PSF) method (Stetson 1987) using a quadratic, spatially variable master PSF (PENNY function). Finally, the PSF photometry was aperture corrected using aperture corrections determined making aperture photometry of bright, isolated stars in the field.

Aperture photometry was then carried out for all stars using the photcal package, with transformation equations of the form:
(1)
(2)
(3)
(4)
(5)
where UBVIC and ubvi are standard and instrumental magnitudes, respectively, and X is the air mass of the observation. Typical values for the extinction coefficients for CTIO were adopted. V magnitudes were derived using equation (3) when the B magnitude was available, otherwise equation (4). The calibration coefficients and their uncertainties are shown in Table 3.
Table 3.

Night by night photometric solutions.

Night19/03/200618/03/200919/03/200920/03/200921/03/2009
u1−0.747 ± 0.003−0.884 ± 0.006−0.860 ± 0.008−0.879 ± 0.007−0.885 ± 0.007
u20.45
u3−0.015 ± 0.006−0.037 ± 0.009−0.017 ± 0.012−0.023 ± 0.010−0.016 ± 0.010
rms0.020.090.100.090.08
b1−1.980 ± 0.013−2.085 ± 0.010−2.063 ± 0.010−2.068 ± 0.010−2.081 ± 0.010
b20.25
b30.153 ± 0.0170.150 ± 0.0100.128 ± 0.0100.132 ± 0.0100.132 ± 0.010
rms0.030.080.050.080.08
v1bv−2.199 ± 0.009−2.136 ± 0.028−2.126 ± 0.006−2.127 ± 0.006−2.139 ± 0.007
v2bv0.16
v3bv−0.060 ± 0.012−0.028 ± 0.005−0.035 ± 0.006−0.036 ± 0.006−0.021 ± 0.006
rms0.020.040.050.050.05
v1vi−2.198 ± 0.005−2.148 ± 0.005−2.121 ± 0.006−2.124 ± 0.006−2.159 ± 0.007
v2vi0.16
v3vi−0.063 ± 0.005−0.013 ± 0.045−0.038 ± 0.005−0.032 ± 0.0050.001 ± 0.005
rms0.030.050.050.040.05
i1−1.298 ± 0.009−1.321 ± 0.004−1.319 ± 0.005−1.313 ± 0.005−1.316 ± 0.005
i20.08
i3−0.054 ± 0.009−0.010 ± 0.003−0.017 ± 0.004−0.014 ± 0.003-0.016 ± 0.004
rms0.020.040.040.040.04
Night19/03/200618/03/200919/03/200920/03/200921/03/2009
u1−0.747 ± 0.003−0.884 ± 0.006−0.860 ± 0.008−0.879 ± 0.007−0.885 ± 0.007
u20.45
u3−0.015 ± 0.006−0.037 ± 0.009−0.017 ± 0.012−0.023 ± 0.010−0.016 ± 0.010
rms0.020.090.100.090.08
b1−1.980 ± 0.013−2.085 ± 0.010−2.063 ± 0.010−2.068 ± 0.010−2.081 ± 0.010
b20.25
b30.153 ± 0.0170.150 ± 0.0100.128 ± 0.0100.132 ± 0.0100.132 ± 0.010
rms0.030.080.050.080.08
v1bv−2.199 ± 0.009−2.136 ± 0.028−2.126 ± 0.006−2.127 ± 0.006−2.139 ± 0.007
v2bv0.16
v3bv−0.060 ± 0.012−0.028 ± 0.005−0.035 ± 0.006−0.036 ± 0.006−0.021 ± 0.006
rms0.020.040.050.050.05
v1vi−2.198 ± 0.005−2.148 ± 0.005−2.121 ± 0.006−2.124 ± 0.006−2.159 ± 0.007
v2vi0.16
v3vi−0.063 ± 0.005−0.013 ± 0.045−0.038 ± 0.005−0.032 ± 0.0050.001 ± 0.005
rms0.030.050.050.040.05
i1−1.298 ± 0.009−1.321 ± 0.004−1.319 ± 0.005−1.313 ± 0.005−1.316 ± 0.005
i20.08
i3−0.054 ± 0.009−0.010 ± 0.003−0.017 ± 0.004−0.014 ± 0.003-0.016 ± 0.004
rms0.020.040.040.040.04
Table 3.

Night by night photometric solutions.

Night19/03/200618/03/200919/03/200920/03/200921/03/2009
u1−0.747 ± 0.003−0.884 ± 0.006−0.860 ± 0.008−0.879 ± 0.007−0.885 ± 0.007
u20.45
u3−0.015 ± 0.006−0.037 ± 0.009−0.017 ± 0.012−0.023 ± 0.010−0.016 ± 0.010
rms0.020.090.100.090.08
b1−1.980 ± 0.013−2.085 ± 0.010−2.063 ± 0.010−2.068 ± 0.010−2.081 ± 0.010
b20.25
b30.153 ± 0.0170.150 ± 0.0100.128 ± 0.0100.132 ± 0.0100.132 ± 0.010
rms0.030.080.050.080.08
v1bv−2.199 ± 0.009−2.136 ± 0.028−2.126 ± 0.006−2.127 ± 0.006−2.139 ± 0.007
v2bv0.16
v3bv−0.060 ± 0.012−0.028 ± 0.005−0.035 ± 0.006−0.036 ± 0.006−0.021 ± 0.006
rms0.020.040.050.050.05
v1vi−2.198 ± 0.005−2.148 ± 0.005−2.121 ± 0.006−2.124 ± 0.006−2.159 ± 0.007
v2vi0.16
v3vi−0.063 ± 0.005−0.013 ± 0.045−0.038 ± 0.005−0.032 ± 0.0050.001 ± 0.005
rms0.030.050.050.040.05
i1−1.298 ± 0.009−1.321 ± 0.004−1.319 ± 0.005−1.313 ± 0.005−1.316 ± 0.005
i20.08
i3−0.054 ± 0.009−0.010 ± 0.003−0.017 ± 0.004−0.014 ± 0.003-0.016 ± 0.004
rms0.020.040.040.040.04
Night19/03/200618/03/200919/03/200920/03/200921/03/2009
u1−0.747 ± 0.003−0.884 ± 0.006−0.860 ± 0.008−0.879 ± 0.007−0.885 ± 0.007
u20.45
u3−0.015 ± 0.006−0.037 ± 0.009−0.017 ± 0.012−0.023 ± 0.010−0.016 ± 0.010
rms0.020.090.100.090.08
b1−1.980 ± 0.013−2.085 ± 0.010−2.063 ± 0.010−2.068 ± 0.010−2.081 ± 0.010
b20.25
b30.153 ± 0.0170.150 ± 0.0100.128 ± 0.0100.132 ± 0.0100.132 ± 0.010
rms0.030.080.050.080.08
v1bv−2.199 ± 0.009−2.136 ± 0.028−2.126 ± 0.006−2.127 ± 0.006−2.139 ± 0.007
v2bv0.16
v3bv−0.060 ± 0.012−0.028 ± 0.005−0.035 ± 0.006−0.036 ± 0.006−0.021 ± 0.006
rms0.020.040.050.050.05
v1vi−2.198 ± 0.005−2.148 ± 0.005−2.121 ± 0.006−2.124 ± 0.006−2.159 ± 0.007
v2vi0.16
v3vi−0.063 ± 0.005−0.013 ± 0.045−0.038 ± 0.005−0.032 ± 0.0050.001 ± 0.005
rms0.030.050.050.040.05
i1−1.298 ± 0.009−1.321 ± 0.004−1.319 ± 0.005−1.313 ± 0.005−1.316 ± 0.005
i20.08
i3−0.054 ± 0.009−0.010 ± 0.003−0.017 ± 0.004−0.014 ± 0.003-0.016 ± 0.004
rms0.020.040.040.040.04

The trend of global (PSF plus calibration) photometric uncertainties is shown in Fig. 2. Note that they are well below 0.05 mag to V ∼ 19.5 for all colour combinations.

The trend of global photometric uncertainties as a function of V magnitude for the NGC 2354 field.
Figure 2.

The trend of global photometric uncertainties as a function of V magnitude for the NGC 2354 field.

World Coordinate System (WCS) header information for each frame was obtained using the ALADIN tool and 2MASS data (Skrutskie et al. 2006). The procedure to perform astrometric calibration of our data is explained by Baume et al. (2009), and used here to obtain a reliable astrometric calibration (∼0.12 arcsec).

The STILTS (Taylor 2006) tool was used to manipulate tables and to cross-correlate the UBVIC and JHK 2MASS data. In the case of Ruprecht 11 and NGC 2354, a few bright stars were saturated in our images, therefore we complemented our catalogues with photometric data from APASS (Henden et al. 2010). The result was a catalogue with astrometric/photometric information for detected objects covering an FOV of approximately 20 arcmin × 20 arcmin for each cluster (as in Fig. 1). The full catalogues are made available in electronic form at the CDS website.

Finally, our photometric data for NGC 2215 were compared with data in the recent study by Fitzgerald et al. (2015) in order to assess the quality and zero-points of our observations. From a grand-total of 498 stars in common we find
in the sense this study minus Fitzgerald et al (2015). The comparison is shown in Fig. 3, where one can see that the scatter is quite large for stars fainter than V ∼ 18, a result of shallower limits for the Fitzgerald et al. (2015) study. If the comparison is restricted to stars in the range 12 ≤ V ≤ 17, the differences read
There is generally good agreement between our observations and those of Fitzgerald et al. (2015), with no indication that our photometry deviates significantly from the standard system.
A comparison of our photometry with that of Fitzgerald et al. (2015).
Figure 3.

A comparison of our photometry with that of Fitzgerald et al. (2015).

4 COLOR–MAGNITUDE DIAGRAMS

To set the scene, we begin by describing and discussing the general appearance of the CMDs for the five stellar fields. They are shown in Fig. 4, which contains all stars in each field with photometric uncertainties σV ≤ 0.03 magnitude (see previous section). A synoptic, global examination of the diagrams reveals the following features.

  • Inspection of the CMD of NGC 2354 in the upper-right panel of Fig. 4 reveals three prominent features: a cluster MS with a turnoff (TO) point at V ∼ 13.5 and a handful of scattered red clump stars at V ∼ 11.5, a second, thick, well-populated MS (colour-coded in red, with a TO at V ∼ 19.5 that looks like the MS for an intermediate-age/old stellar population, and a plume of blue stars, colour-coded in blue, in the magnitude range 16–18.5 that resembles a young stellar population. The last feature is very similar to the blue plumes found in the directions of other clusters (Carraro et al. 2005; Moitinho et al. 2006) in the third Galactic quadrant.

  • Although those three features are readily visible in the NGC 2354 field, that is not the case for other lines of sight. In the CMD for NGC 2215 (upper-left panel), there is no blue plume at all. The cluster MS itself is clearly visible with a TO at V ∼ 12. In addition, there is a thick, faint MS with a TO at V = 18.5, which, however, is less prominent than in NGC 2354.

  • The CMD for the field centred on Ruprecht 11 (middle right panel) shares the same features as NGC 2354, although displaced in magnitude. The thick, faint, old population MS has a TO at V ∼ 20 and a blue plume in the V range 17–19. Cluster members themselves, if any, are not easy to detect. There may be a red clump at V ∼ 13 and a TO at V ∼ 15. We return to that point later.

  • The CMD of Haffner 22 (middle-left panel) presents a different story. Cluster stars are prominent with an MS TO at V ∼ 16 and a conspicuous red clump at V ∼ 13.5. The MS is visible despite severe field star contamination. There appears to be a plume of blue stars, but much brighter (V ∼ 12–16) and scattered than in previous cases. Some may be blue straggler stars (BSS), which would imply no blue plume in the field. However, typical BSS do not spread over such a large magnitude range (De Marchi et al. 2006). While one cannot exclude that some are BSS, they are not expected to outnumber young field stars. Finally, the thick, old MS does not have a clear TO, only a sort of sharp colour cut-off at (BV) ∼ 0.6–0.7.

  • The CMD for stars in the ESO489 SC01 field (lower panel) is completely different, with none of the previous features present. There is no evidence of an MS, and there are only a few bright stars detached in magnitude from the bulk of the stars that can have produced the impression of a star cluster. We therefore conclude that ESO489SC01 is a chance alignment of a few bright stars, and not a physical star cluster.

V/B − V CMD for the five programme fields. Bottom: ESO489SC01. Middle row: Haffner 22 and Ruprecht 11. Top row: NGC 2215 and NGC 2354. In NGC 2354 CMD, we highlight the approximate location of the two most important features in the field. The dashed blue triangle comprises with blue the blue plume, young stars in the cluster background. The dashed red polygon contains the intermediate-age population.
Figure 4.

V/BV CMD for the five programme fields. Bottom: ESO489SC01. Middle row: Haffner 22 and Ruprecht 11. Top row: NGC 2215 and NGC 2354. In NGC 2354 CMD, we highlight the approximate location of the two most important features in the field. The dashed blue triangle comprises with blue the blue plume, young stars in the cluster background. The dashed red polygon contains the intermediate-age population.

5 CLUSTER FUNDAMENTAL PARAMETERS

Described here is the methodology of deriving fundamental parameters for programme clusters using star counts in tandem with photometric analysis. Star clusters are by definition overdensities of stars that produce distinctive features in a CMD. But star overdensities do not necessarily imply the existence of physical clusters, while the opposite may also be true. Some star clusters do not produce evident overdensities relative to the density of stars in the general Galactic field (Carraro 2006).

5.1 Star counts and cluster spatial properties

Star counts for each cluster field were made from the V-band images by generating surface density maps from our photometric catalogues. Maps of surface density were derived using a kernel estimator (see Seleznev et al. 2010, Carraro & Seleznev 2012, and the detailed description of the method given by Silverman 1986), with the kernel half-width chosen to diminish the effect of density fluctuations and to avoid, for example, other density peaks inside a cluster. Maps are shown in Fig. 5 using 3 arcmin as kernel half-width value, with different colours indicating different densities.

Surface density maps. Bottom: Haffner 22, Ruprecht 11, and ESO489SC01. Top, from the left to the right: NGC 2215, NGC 2354 (half kernel width value = 3 arcmin), and NGC 2354 (half-kernel width value = 1 arcmin). The yellow lines indicate the position of the derived cluster centre. The density scale, colour coded as in vertical bars, is in stars/arcmin2. All maps are plotted using 3 arcmin for the half-width kernel value. See the text for additional details.
Figure 5.

Surface density maps. Bottom: Haffner 22, Ruprecht 11, and ESO489SC01. Top, from the left to the right: NGC 2215, NGC 2354 (half kernel width value = 3 arcmin), and NGC 2354 (half-kernel width value = 1 arcmin). The yellow lines indicate the position of the derived cluster centre. The density scale, colour coded as in vertical bars, is in stars/arcmin2. All maps are plotted using 3 arcmin for the half-width kernel value. See the text for additional details.

Density values are shown in the vertical colour bar on the right-hand side of each map, and the axes show distance from the field centre in arcmin. North is up and east is to the left, as in Fig. 1. The maps were used to determine the cluster centres, which are listed in Table 4. The table contains the adopted limiting magnitude Vlim for the map generation (column 1), the derived centre co-ordinates in degrees (columns 2 and 3), and the estimated radius in arcmin (column 4). The new centre co-ordinates can be compared with the values in Table 1.

Table 4.

Revised coordinates of the cluster centres, cluster radii, and cluster fundamental parameters,

ClusterVlimRADecradiusAgeDist.E(B-V)
[mag][hh:mm:ss.s][dd:mm:ss.s][arcmin][Gyr][kpc][mag]
ESO489SC011806:05:11.8−26:45:11.4≥6 (?)0.04 ± 0.02
NGC 22151606:20:44.5−07:17: 06.6≥7.60.8 ± 0.150.95 ± 0.050.16 ± 0.02
Ruprecht 111807:07:21.5−20:48:19.2≥91.5 ± 0.5187 ± 0.130.17 ± 0.02
NGC 23541407:14:01.8−25:39:29.93.1 ± 0.4 (?)1.5 ± 0.21.75 ± 0.150.18 ± 0.02
Haffner 221608:12:27.9−27:54:37.86.7 ± 0.22.5 ± 0.33.05 ± 0.300.20 ± 0.02
ClusterVlimRADecradiusAgeDist.E(B-V)
[mag][hh:mm:ss.s][dd:mm:ss.s][arcmin][Gyr][kpc][mag]
ESO489SC011806:05:11.8−26:45:11.4≥6 (?)0.04 ± 0.02
NGC 22151606:20:44.5−07:17: 06.6≥7.60.8 ± 0.150.95 ± 0.050.16 ± 0.02
Ruprecht 111807:07:21.5−20:48:19.2≥91.5 ± 0.5187 ± 0.130.17 ± 0.02
NGC 23541407:14:01.8−25:39:29.93.1 ± 0.4 (?)1.5 ± 0.21.75 ± 0.150.18 ± 0.02
Haffner 221608:12:27.9−27:54:37.86.7 ± 0.22.5 ± 0.33.05 ± 0.300.20 ± 0.02
Table 4.

Revised coordinates of the cluster centres, cluster radii, and cluster fundamental parameters,

ClusterVlimRADecradiusAgeDist.E(B-V)
[mag][hh:mm:ss.s][dd:mm:ss.s][arcmin][Gyr][kpc][mag]
ESO489SC011806:05:11.8−26:45:11.4≥6 (?)0.04 ± 0.02
NGC 22151606:20:44.5−07:17: 06.6≥7.60.8 ± 0.150.95 ± 0.050.16 ± 0.02
Ruprecht 111807:07:21.5−20:48:19.2≥91.5 ± 0.5187 ± 0.130.17 ± 0.02
NGC 23541407:14:01.8−25:39:29.93.1 ± 0.4 (?)1.5 ± 0.21.75 ± 0.150.18 ± 0.02
Haffner 221608:12:27.9−27:54:37.86.7 ± 0.22.5 ± 0.33.05 ± 0.300.20 ± 0.02
ClusterVlimRADecradiusAgeDist.E(B-V)
[mag][hh:mm:ss.s][dd:mm:ss.s][arcmin][Gyr][kpc][mag]
ESO489SC011806:05:11.8−26:45:11.4≥6 (?)0.04 ± 0.02
NGC 22151606:20:44.5−07:17: 06.6≥7.60.8 ± 0.150.95 ± 0.050.16 ± 0.02
Ruprecht 111807:07:21.5−20:48:19.2≥91.5 ± 0.5187 ± 0.130.17 ± 0.02
NGC 23541407:14:01.8−25:39:29.93.1 ± 0.4 (?)1.5 ± 0.21.75 ± 0.150.18 ± 0.02
Haffner 221608:12:27.9−27:54:37.86.7 ± 0.22.5 ± 0.33.05 ± 0.300.20 ± 0.02

The centre of each cluster was determined visually from the peak density established by the locus of isodensity lines surrounding the maximum, and is indicated by yellow straight lines in Fig. 5. The limiting magnitude Vlim was determined from the analysis using maps for different Vlim in combination with inspection of the CMDs to determine the magnitude range where a cluster appears most clearly. The map for that selected value of Vlim was chosen as the best representation for each cluster. A kernel half-width h = 3 arcmin was used for all clusters except NGC 2354. This is because h = 3 arcmin (upper mid-panel in Fig. 5) clearly misses the cluster centre for NGC 2354 due to its irregular star distribution, which is clearly visible in the h = 1 arcmin map (upper-right panel in Fig. 5) and in the density profile of the cluster (see below). This latter has been eventually used to estimate the cluster centre. It is worth noting that, with a kernel estimator, the field of the map is smaller than the field covered by the data by one smoothing length (h).

The coordinates for each cluster centre were used to compute surface density profiles using the kernel estimator method (see detailed description in Seleznev 2015). The method is more powerful than standard discrete binning, since it weighs the contribution of adjacent bins using a kernel. The density profiles are shown in Fig. 6, where the vertical axis indicates surface density in units of arcmin−2 and the horizontal axis is distance from the cluster centre in arcmin. Recall that the limit in distance is determined by the kernel half-width (it is 1 arcmin for all clusters) and distance from cluster centre to the nearest field border, since the cluster centre rarely coincides with the centre of the covered field.

Surface radial profiles. Bottom: Ruprecht 11 and ESO489SC01. Top, from the left to the right: NGC 2215, NGC 2354, and Haffner 22. The solid black line indicates the level of density background. The red curve is the cluster density profile, while the dashed red curves comprise the associate uncertainties. The blue line, finally, is the density histogram.
Figure 6.

Surface radial profiles. Bottom: Ruprecht 11 and ESO489SC01. Top, from the left to the right: NGC 2215, NGC 2354, and Haffner 22. The solid black line indicates the level of density background. The red curve is the cluster density profile, while the dashed red curves comprise the associate uncertainties. The blue line, finally, is the density histogram.

Red solid lines show the computed density profiles, with red dotted lines depicting the 2σ confidence intervals obtained from the smoothed bootstrap estimate method (Merritt & Tremblay 1994; Seleznev 2015). The blue polygonal line in each case is the density histogram, while black horizontal lines represent visual estimate for the background densities. They were established as follows. If the density profile dropped to a nearly constant value, the background level was drawn so that the square of the areas above and below that level were about the same. The cluster radius was then estimated as the abscissa of the point of intersection of the density profile with the background density. The associated uncertainty corresponds to the separation between the intersections of confidence interval lines with background density.

We underline here that in the case of Haffner 22 and NGC 2354 the size of the fields may simply be too small, so that the estimated radius would refer only to the cluster core. As noted by Kholopov (1969), most star clusters consist of a concentrated nuclear region surrounded by a lower density corona, typically larger than the fields imaged for each cluster. To establish the full extent of each cluster would therefore require estimating star densities beyond the fields surveyed here (see, for example, Turner et al. 2008). It seems therefore more conservative to consider the values in Table 4 as lower estimates of radius.

In the specific case of NGC 2354, the map in Fig. 5 (upper mid-panel) reveals a second density maximum about 7 arcmin from the centre reported in Table 4. If the density profile for NGC 2354 is derived by considering only to r = 7 arcmin (as in Fig. 6), the second maximum is not detectable. If it is considered as part of the cluster (which is highly probable), the cluster radius might be as large as R ≳ 12 arcmin.

5.2 The reddening law in the third galactic quadrant

The availability of photometry in four different bands (UBVI) and 2MASS observations for each cluster field make it possible to establish reddenings for each cluster using two-colour data. The reddening law in several open clusters lying along segments of the Milky Way examined here was studied 40 yr ago by Turner (1976), and more recently by Turner (2012), who established localized reddening laws described by EUB/EBV = 0.77, which was adopted here. The corresponding derived values of RV range from 2.75 to 3.20, but a recent study of the reddening law (Turner, Majaess & Balam 2014) implies that a value of RV = 2.9 would be more suitable. The reddening law in the Kron–Cousins system appears to be more stable, with a value of EVI/EBV = 1.257 being appropriate for all values of EUB/EBV (Turner et al. 2011). For clusters lying away from the Galactic plane, a reddening law of slope EUB/EBV = 0.83 with RV = 2.8 would seem to be more appropriate (Turner et al. 2014), but the reddening in such fields is typically so small that any differences do not affect the results significantly.

Colour–colour diagrams in UBV and BVI for each field are shown in Fig. 7, where the intrinsic relations in UBV are from Turner (1996) and those in BVI are from Turner et al. (2011). The data were limited to stars brighter than V = 15 in order to limit uncertainties in the colours to about ±0.01. The UBV relation for GK-type stars incorporates the MS relation for stars of Pleiades (roughly solar) metallicity (Turner 1979) as well as the relation for ‘zero-age zero-rotation’ AF-type stars (see Turner 2012), so is ideal for detecting, although not calibrating, the ultraviolet (UV) excesses expected for cooler stars lying away from the Galactic plane (Wildey et al. 1962). The intrinsic colours of giant stars (LC III) are also indistinguishable from those of dwarfs of late spectral type, so the relation is also useful for establishing the reddening of old open clusters.

U−B versus B−V and V−I versus B−V colour-color diagram for stars in our fields with UBVI photometry brighter than V = 16. The intrinsic (black) and reddened (red) relations for solar composition MS stars are plotted, with reddenings as noted in the text.
Figure 7.

UB versus BV and VI versus BV colour-color diagram for stars in our fields with UBVI photometry brighter than V = 16. The intrinsic (black) and reddened (red) relations for solar composition MS stars are plotted, with reddenings as noted in the text.

It is important to point out that interstellar reddening and extinction does not characteristically increase linearly with distance, as is sometimes assumed. Rather, it increases in direct proportion to the amount of dust, or possibly hydrogen, along the line of sight (Turner et al. 2011, 2014). In such conditions all photometrically measured stars in a field contribute valuable information on the reddening of both cluster and field stars.

The data of Fig. 7 provide insights into the reddening in each field. In the direction of ESO489 SC01, for example, only a few late-type stars are unreddened, and most exhibit UV excesses, typical of directions away from the plane. Most solar-metallicity stars exhibit a reddening of EBV = 0.04 ± 0.02, with the reddening and extinction occurring in dust clouds close to the Galactic plane.

Most stars lying in the direction of NGC 2215, by contrast, are significantly reddened, on average by EBV = 0.16 ± 0.02, with very few unreddened foreground stars in the population. Stars lying in Ruprecht 11 exhibit more complicated reddening. Many are unreddened foreground objects, but at some distance differential reddening takes over. Clumps of stars reddened by EBV = 0.17 and EBV = 0.40 are evident, with the main group being less reddened. A full differential reddening analysis may be needed to sort out cluster parameters. The stars lying towards NGC 2354 are similar in some respects, in displaying differential reddening, although there does appear to be a main group reddened by EBV = 0.18 ± 0.02. Finally, stars lying towards Haffner 22 are less complicated, with a main group displaying reddenings of EBV = 0.20 ± 0.02.

5.3 Star cluster fundamental parameters

With the results of the previous section on hand, it is possible to highlight star cluster sequences in the CMDs, and then estimate their fundamental parameters by means of isochrone fitting. Use was made of the most recent suite of Padova models (Bressan et al. 2012), in conjunction with a radial selection of stars using the cluster centre and radius estimated in Table 4. The results are shown in the panels of Fig. 8, with comments on a cluster-by-cluster basis. It is important to stress that the CMD sequences are sometimes difficult to fit because of field star contamination and differential reddening. To make the fitting solutions less confusing in Fig. 8, only the best-fitting isochrones are shown. They were always superposed by eye. Associated uncertainties were also estimated by eye, adjusting each isochrone in colour and magnitude until an acceptable fit was no longer possible.

Isochrone solutions. Top panels: NGC 2215 and NGC 2254, from left to right. Bottom panels: Haffner 22 and Ruprecht 11, from left to right. Fitting parameters are listed in Table 4.
Figure 8.

Isochrone solutions. Top panels: NGC 2215 and NGC 2254, from left to right. Bottom panels: Haffner 22 and Ruprecht 11, from left to right. Fitting parameters are listed in Table 4.

NGC 2215

NGC 2315 is a difficult cluster to study, since it is sparsely populated, without an obvious RGB clump and with a poorly defined TO region. Yet the cluster emerges clearly as an overdensity above the general field, and its MS is obvious (upper-left panel in Fig. 8). Metallicity is difficult to infer without spectroscopy, but the colours of the few FG-type members fit the reddened Pleiades relation well in Fig. 7, so are unlikely to be far from solar. Adoption of the Fitzgerald et al. (2015) estimate ([Fe/H] ≃ −0.3) leads to a very similar parameter set: EBV = 0.20 ± 0.05, (m-M) = 10.2 ± 0.2, and an age of 800 ± 150 Myr. Solar metallicity would be more appropriate, however, for a cluster less than 1 kpc from the Sun (Lepine et al. 2011, Fig. 3).

NGC 2354

The present study yields a similar parameter set to a previous study by Claria et al. (1999). The cluster is 1.75 ± 0.15 kpc distant with an age of 1.5 ± 0.2 Gyr and EBV = 0.18 ± 0.02 (see top right panel in Fig. 8). With a prominent red giant clump and a TO about 1.4 mag fainter, the cluster cannot be as young as the age of about 250 Myr suggested by Kharchenko et al. (2013). If the Carraro & Chiosi (1994) calibration is used, NGC 2354 would be as old as IC 4651 (1.5 Gyr). Consequently, the ∼4 kpc distance inferred by Kharchenko et al. (2005) can also be ruled out.

Haffner 22

Haffner 22 (lower-left panel in Fig. 8) is a beautiful, intermediate-age, star cluster that closely resembles the more famous clusters NGC 2420 and NGC 2506. The curved TO is extremely clear, and the RG clump as well, although quite sparse. The present study yields the parameter estimates: age of about 2.5 ± 0.3 Gyr, reddening of EBV = 0.20 ± 0.02, and distance of ∼3.05 ± 0.30 kpc. Haffner 22 is therefore one of the few clusters located above the formal Galactic plane (l = 0°) in the third quadrant, where the disc is warped significantly towards negative declinations.

Ruprecht 11

According to star counts Ruprecht 11 shows the strongest density contrast with the surrounding field among our sample of clusters. Yet the CMD is very difficult to interpret, likely because of the evidence for differential reddening in the direction of the cluster (see above). Nevertheless, it does appear to be a cluster, provided the group of red stars at V ∼ 13–13.5 is the RGB clump (see lower-right panel in Fig. 8). MS and isochrone fitting then yields the following parameters for Ruprecht 11: age of 1.5 ± 0.5 Gyr, reddening of EBV = 0.17 ± 0.02, and distance of 1.87 ± 0.13 kpc.

ESO489 SC01

No fit was made for the ESO489 SC01 star distribution since there is no evidence for a cluster lying in this direction. The CMD and colour–colour plots leave the impression of a lightly reddened star field lying towards the Galactic halo.

The results of our analysis are summarized in Table 4.

6 ANALYSIS OF THE STELLAR FIELDS

It is now possible to analyse the surrounding star fields along the lines of sight under investigation, by interpreting the various features highlighted in Section 4.

6.1 The blue plumes

Blue plumes are present in the background of three clusters, as noted above: NGC 2354, Ruprecht 11, and Haffner 22. No such feature is detected in the field of ESO489 SC01, while a weak background group of yellow dwarfs is visible in the field of NGC 2215. It is necessary to establish if the stars in each blue plume are young or old, or if they are dispersed in distance or spatially confined.

For that we consider in each CMD the magnitude strip that encompasses blue plume stars: 16 ≤ V ≤ 19, 12 ≤ V ≤ 17, and 17 ≤ V ≤ 19 for NGC 2354, Haffner 22, and Ruprecht 11, respectively. The stars are plotted in UBV colour–colour diagrams in Fig. 9 to establish their reddening distribution and approximate spectral types, from which can be inferred an approximate age. Dwarf stars occupy the bluest region of the diagram (BV bluer than 0.5 for NGC 2354 and Haffner 22, and bluer than 0.75 for Ruprecht 11). The solid black line is the intrinsic relation described earlier, while the red line is the same relation reddened to fit the bluest plume stars. The location of the blue branch does not depend on metallicity (Carraro, Moitinho & Vazquez 2008a). The colour excesses of the bluest stars correspond to reddenings EBV = 0.25, 0.20, and 0.53 for NGC 2354, Haffner 22, and Ruprecht 11, respectively.

Similar U−B versus B−V colour–color diagrams as in Fig. 7 for stars in the magnitude ranges which comprise the blue plumes in NGC 2354, Haffner 22, and Ruprecht 11. Lines are as in Fig. 7, although the reddenings differ as noted in the text.
Figure 9.

Similar UB versus BV colour–color diagrams as in Fig. 7 for stars in the magnitude ranges which comprise the blue plumes in NGC 2354, Haffner 22, and Ruprecht 11. Lines are as in Fig. 7, although the reddenings differ as noted in the text.

From the data of Fig. 9, we infer that the earliest spectral types are B8 for NGC 2354, B9 for Haffner 22, and B4 for Ruprecht 11, implying ages for blue plume stars in the direction of Ruprecht 11 as young as 50 million years, and slightly older, up to 70–80 million years, for those in the lines of sight to NGC 2354 and Haffner 22. Such ages are typical of stars in young open clusters that are preferentially located close to the spiral arm where they formed.

As noted earlier, the blue plumes in NGC 2354 and Ruprecht 11 appear to correspond to a spatially confined population, while blue plume stars in Haffner 22 are much more scattered, which would mean they are distributed over a larger range of distances. The mean distances from the Sun are estimated by superimposing a zero-age main sequence on the stars in the CMDs, as illustrated in Fig. 10. That yields (m-M) = 15.5 ± 0.2 for NGC 2354, (m-M) = 11.2–14.30 ± 0.2 for Haffner 22, and (m-M) = 16.4 ± 0.1 for Ruprecht 11. Therefore, in the lines of sight towards NGC 2354 and Ruprecht 11 young stars appear to peak in their distribution at distances of 9.0 ± 0.8 kpc and 8.2 ± 0.4 kpc, respectively, whereas blue plume stars lying towards Haffner 22 are dispersed over distance of 1.2–5.5 ± 0.5 kpc. Such extreme Galactocentric distances challenge modern Galactic models that adopt a sharp disc cut-off at 12–14 kpc (Carraro et al. 2010), and confirm beyond any reasonable doubt that the young Galactic disc is significantly warped at these Galactic longitudes.

Distance solution for the blue plumes in NGC 2354, Haffner 22, and Ruprecht 11.
Figure 10.

Distance solution for the blue plumes in NGC 2354, Haffner 22, and Ruprecht 11.

Comparison of NGC 2158 MS (right-hand panel) with the intermediate-age, faint MS in the region of the star cluster NGC 2354 (left-hand panel).
Figure 11.

Comparison of NGC 2158 MS (right-hand panel) with the intermediate-age, faint MS in the region of the star cluster NGC 2354 (left-hand panel).

6.2 The faint, intermediate-age MS

Attention can now be focused on the last prominent feature identified in the CMDs of NGC 2354, NGC 2215, and Ruprecht 11, a thick, faint MS typical of an intermediate-age, possibly metal-poor, stellar population. The feature was not detected in ESO489 SC01 or in Haffner 22, although in the latter case the TO may simply be hidden because it is confused with the cluster itself and with the MS of foreground stars, located between the Sun and the cluster.

The direction where the population is best visible is that towards NGC 2354. Its MS is broad in colour for various reasons, among which are variable reddening across the field, different distances for the stars, and contamination by other Galactic components (thick disc and halo) sampled by the line of sight to the cluster. The same is true for NGC 2215 and Ruprecht 11. In the case of NGC 2215, Fitzgerald et al. (2015) suggest that this population is about 5 Gyr old for a metallicity as low as [Fe/H] = −0.8, which would then represent material from the Galactic thick disc, with little to do with the Perseus arm, where a much younger population is expected.

Sequences such as these are routinely found in the Galactic anticentre, and are normally considered to be part of the Monoceros ring, a structure that might represent the leftover of an in-plane accretion event (Conn et al. 2012). Such a narrow MS is not expected to be produced by the general Galactic disc population when sampling either along the plane, where one can find stars at any distance, or off-plane, where one does not expect to find many thin disc stars.

An alternative view has been proposed by Vázquez et al. (2008, Vázquez et al. 2010) and Carraro et al. (2010, 2015), who suggest that this population is made of old thin disc stars that follow the Galactic warp. As in the case of the young thin disc, the warp introduces the effect that the line of sight intersects and eventually crosses the disc completely, producing the impression of a population confined in space (see Carraro 2014, Fig. 9 for an illustration of the effect).

It should be stressed that stars belonging to this population are visible in the colour–colour diagrams in Fig. 9. They produce a helmet-like (or hump-like) structure where stars of FG spectral type are expected. That happens at 0.5 ≤ V ≤ 0.7 for NGC 2354, at 0.4 ≤ V ≤ 0.6 for Haffner 22, and at 0.57 ≤ V ≤ 0.9 for Ruprecht 11. It is an indication that such stars have UV excesses, namely they are bluer in UB than the intrinsic relation for solar-metallicity stars, and therefore metal-poor. It confirms earlier findings by our group (Carraro et al. 2008a). Yet it is difficult to estimate what the metallicity is precisely, since we are looking at a population spread in space at different distances, which might include old thin disc, contamination from thick disc, and even halo stars. More importantly, the derivation of photometric metallicity using the UV excess index |$\delta (U-B)_{(B-V)_o=0.6}$| requires precise photometry and homogenous (in terms of stellar population) samples (see Carraro et al. 2008b). At best it can be noted that the component is more metal-poor than the Sun.

There is no obvious way to derive an age estimate for this component. In Carraro et al. (2008a), we superimposed two extreme isochrones to the same population (but located at l = 244°, b = −8.0°) and provided only an indication of a possible age range, concluding that what we are seeing at low latitude is probably thick disc population. Here, we try a more empirical approach. In Fig. 10, we compare the CMD of stars in the NGC 2354 field with that for the intermediate-age star cluster NGC 2158 (Carraro, Girardi & Marigo 2002). The latter is a well-known, rich, intermediate-age (∼2 Gyr) cluster that is metal-poor ([Fe/H = −0.3), located in the second Galactic quadrant. It is also known to suffer from significant variable reddening that makes it an ideal comparison with the stellar population studied here, which we tentatively assume to be composed mostly of old thin-disc stars, spread by reddening, and more metal-poor than the Sun (see Fig. 11).

For the purpose of the comparison, NGC 2518 stars were displaced in colour and magnitude by Δ(BV) = −0.4 and ΔV = 1.5, respectively, to position the cluster sequence where the old, faint population in NGC 2354 is located. Although contamination is strong, it can be argued that, if one eliminates blue plume stars from the NGC 2354 CMD, the MS of NGC 2158 would then reproduce and match qualitatively well the faint MS of NGC 2354. It is not a conclusive argument, but only an attempt to provide a simple and direct comparison with similar stellar populations located in other regions of the disc, where the warp is less important. Given the similarity with the MS of NGC 2158, the faint MS would mostly be old, thin-disc population.

7 DISCUSSION AND CONCLUSIONS

Analysed here are the CMDs of five star fields located in the third Galactic quadrant and centred on the catalogued open clusters NGC 2215, NGC 2354, Haffner 22, Ruprecht 11, and ESO49 SC01. Star counts and photometry are used to discuss their nature and properties, and to provide estimates of fundamental parameters. Those for NGC 2215 and NGC 2354 agree with results of previous studies, while those for Haffner 22 and Ruprecht 11 are new. We cannot provide solid confirmation for the reality of the latter, but the former is an intermediate-age open cluster with a conspicuous RGB clump. Finally, we argue that ESO489 SC01 is not a star cluster, but only a chance overdensity projected towards the Galactic halo.

The main goal of the study was to analyse the additional features present in the CMDs, namely the existence of young populations in the field of NGC 2354, Haffner 22, and Ruprecht 11. In the case of Haffner 22, this population is not spatially confined, but is distributed along the line of sight to the cluster, from 1.2 kpc from the Sun to as distant as 5.5 kpc, implying that the line of sight to Haffner 22 (at b = +3| $_{.}^{\circ}$|37) crosses the local arm (Orion) only, and then misses the outer thin disc which starts to bend below the plane because of the warp at about 3–4 kpc from the Sun (Vazquez et al. 2008; Carraro et al. 2015).

The blue plume populations in NGC 2453 and Ruprecht 11, on the other hand, share the same properties. They describe a Galactic feature confined in space, located at about 8–9 kpc from the Sun, and about 1 kpc below the Galactic plane. That feature, according to our previous investigations, coincides with the location of the outer spiral arm, also known as the Norma-Cygnus arm (Vazquez et al. 2008). Disc warping renders it easier to detect the feature since the line of sight intersects the arm transversally, thus producing the effect of detecting a spatially confined structure (see Carraro 2014, Fig. 9, for a clear illustration of the effect).

Interestingly, no blue plume is seen in NGC 2215 at l ∼ 215, b ∼ −10°, which would indicate that the young disc is not present at such low latitudes. That is in agreement with the warp structure as derived by clump stars (Momany et al. 2006), which predicts the maximum of the warp at larger Galactic longitudes (l ∼ 230–250).

An additional comment can be made. From the analysis of colour–colour diagrams we find that the blue plume population in Ruprecht 11 (b = −5| $_{.}^{\circ}$|981) is younger than those in NGC 2354 (b = −6| $_{.}^{\circ}$|792) and Haffner 22 (b = +3| $_{.}^{\circ}$|377). That may imply the existent of a vertical age gradient, with the direction towards Ruprecht 11 sampling a more centrally concentrated (and therefore younger) region of the warped Galactic thin disc.

Also noted is the presence of an older, metal-poor, stellar component in the fields of NGC 2354, NGC 2215, and Ruprecht 21. They would be old thin disc populations, similar to that in the open cluster NGC 2158 or Tombaugh 2, and therefore not older than 2–3 Gyr. It is, however, difficult to estimate the metallicity from photometry only. The population is present along the lines of sight in different proportions. It is quite strong towards NGC 2354 and Ruprecht 11, which are located relatively close in the third quadrant. Ruprecht 11 shows a significantly larger reddening, and therefore the corresponding faint MS appears much fainter than in the case of NGC 2354. On the other hand, NGC 2215 is located much more distant from the warped Galactic plane than NGC 2354, which implies that the line of sight to the cluster intersects a lower and less dense portion of the disc. The same population may also be present towards Haffner 22. But in that direction we may be seeing only the northern edge of the disc. In such a situation we would not be able to see a distinct TO, since the line of sight, close to the Sun, is almost parallel to the formal Galactic plane, and stars are spread over a large distance range from the Sun to the cluster, and beyond, up to 5 kpc, as in the case of the blue plume stars. Beyond 5 kpc from the Sun, the line of sight would no longer intersect the disc, which is warped, and located at much lower latitudes.

Finally, this population is totally absent at the latitude and longitude of ESO489 SC01. In our opinion, future lines of research should focus on the derivation of stellar parameters of stars in both young- and intermediate-age populations using spectroscopic data, to better assess their metallicity properties and nature.

The work of AFS was supported by the Ministry of Education and Science of the Russian Federation (state contract no. 3.1781.2014.K, registration number 01201465056). The travel of GC was supported by Act 211 Government of the Russian Federation, contract no. 02.A03.21.0006. GC acknowledges financial support from ESO DGDF programme and from the UrFU Competitiveness Enhancement Program, that allowed him to visit Ural Federal University in Ekaterinburg, where the work was completed. GB acknowledges financial support from CONICET PIPs 112-201101-00301 and from the ESO visitor programme that allowed a visit to ESO premises in Chile, where part of the work was done. The authors are much obliged for the use of the NASA Astrophysics Data System, the SIMBAD data base and ALADIN tools (centre de Données Stellaires, Strasbourg, France), and of the WEBDA open cluster data base. This publication also made use of data from: (a) the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation; (b) the AAVSO Photometric All-Sky Survey (APASS), funded by the Robert Martin Ayers Sciences Fund.

4

iraf is distributed by the National Optical Astronomy Observatory, which is operated by the Association of Universities for Research in Astronomy, Inc., under cooperative agreement with the National Science Foundation.

REFERENCES

Baume
G.
Carraro
G.
Momany
Y.
2009
MNRAS
398
22

Bellazzini
M.
Ibata
R.
Monaco
L.
Martin
N.
Irwin
M. J.
Lewis
G. F.
2004
MNRAS
354
1263

Bressan
A.
Marigo
P.
Girardi
L.
Salasnich
B.
Dal Cero
C.
Rubele
S.
Nanni
A.
2012
MNRAS
427
127

Carney
B. W.
Seitzer
P.
1993
AJ
105
2127

Carraro
G.
2006
Bull. Astron. Soc. India
34
153

Carraro
G.
2014
Feltzing
S.
Zhao
G.
Walton
N. A.
Whitelock
P. A.
Proc. IAU Symp. 298, Setting the Scene for Gaia and LAMOST
Cambridge Univ. Press
Cambridge
7

Carraro
G.
2015
in press preprint (arXiv:1502.03151)

Carraro
G.
Chiosi
C.
1994
A&A
287
761

Carraro
G.
Seleznev
A. F.
2012
MNRAS
419
3608

Carraro
G.
Girardi
L.
Marigo
P.
2002
MNRAS
332
705

Carraro
G.
Vázquez
R. A.
Moitinho
A.
Baume
G.
2005
ApJ
630
L153

Carraro
G.
Moitinho
A.
Vazquez
R. A.
2008a
MNRAS
385
1597

Carraro
G.
Villanova
S.
Demarque
P.
Moni Bidin
C.
McSwain
M. V.
2008b
MNRAS
386
1625

Carraro
G.
Vázquez
R. A.
Costa
E.
Perren
G.
Moitinho
A.
2010
ApJ
718
683

Carraro
G.
Vázquez
R. A.
Costa
E.
Ahumada
J. A.
Giorgi
E. E.
2015
AJ
149
12

Claria
J. J.
Mermilliod
J.-C.
Piatti
A.
1999
A&AS
134
301

Conn
B. C.
et al.
2012
ApJ
754
101

De Marchi
F.
De Angeli
F.
Piotto
G.
Carraro
G.
Davies
M. B.
2006
A&A
459
489

Dias
W. S.
Alessi
B. S.
Moitinho
A.
Lepine
J. R. D.
2002
A&A
389
871

Durbeck
W.
1960
Z. Astrophys.
49
214

Feast
M. W.
Menzies
J. W.
Matsunaga
N.
Whitelock
P. A.
2015
Nature
509
342

Fitzgerald
M. T.
et al.
2015
AJ
149
190

Girardi
L.
Groenewegen
M. A. T.
Hatziminaoglou
E.
da Costa
L.
2005
A&A
436
895

Kalberla
P. M. W.
Kerp
J.
Dedes
L.
Haud
U.
2014
ApJ
794
90

Kharchenko
N. V.
Piskunov
A. E.
Roeser
S.
Schilbach
E.
Scholz
R.-D.
2005
A&A
438
1163

Kharchenko
N. V.
Piskunov
A. E.
Schilbach
E.
Roeser
S.
Scholz
R.-D.
2013
A&A
558
53

Kholopov
P. N.
1969
Sov. Astron.
12
625

Laine
J.
et al.
2014
MNRAS
441
1992

Landolt
A. U.
1992
AJ
104
372

Lepine
J. R. D.
et al.
2011
MNRAS
417
698

Lopez-Corredoira
M.
Molgo
J.
2014
A&A
567
106

Magrini
L.
Sestito
P.
Randich
S.
Galli
D.
2009
A&A
494
95

Magrini
L.
et al.
2015
A&A
580
85

Merritt
D.
Tremblay
B.
1994
AJ
108
514

Moitinho
A.
Vázquez
R. A.
Carraro
G.
Baume
G.
Giorrgi
E. E.
Lyra
W.
2006
MNRAS
368
L77

Momany
Y.
Zaggia
S.
Gilmore
G.
Piotto
G.
Carraro
G.
Bedin
L. R.
de Angeli
F.
2006
A&A
451
515

Netopil
M.
Paunzen
E.
Carraro
G.
2015
A&A
582
19

Popova
M. E.
Loktin
A. V.
2005
Astron. Lett.
31
17

Popova
M. E.
Loktin
A. V.
2008
Astron. Lett.
34
551

Reddy
A. B. S.
Giridhar
S.
Lambert
D. L.
2015
MNRAS
450
4301

Robin
A. C.
Creze
M.
Mohan
V.
1992
ApJ
400
L25

Robin
A. C.
Reyle
C.
Derriere
S.
Picaud
S.
2003
A&A
409
523

Seleznev
A. F.
2015
MNRAS
submitted

Seleznev
A. F.
Carraro
G.
Costa
E.
Loktin
A. V.
2010
New Astron.
15
61

Silverman
B. W.
1986
Monographs on Statistics and Applied Probability
Chapman and Hall
London

Skrutskie
M. F.
et al.
2006
AJ
131
1163

Stetson
P. B.
1987
PASP
99
191

Taylor
M. B.
2006
Gabriel
C.
Arviset
C.
Ponz
D.
Solano
E.
ASP Conf. Ser. Vol. 351, Astronomical Data Analysis Software and Systems XV
Astron. Soc. Pac.
San Francisco
501

Turner
D. G.
1976
AJ
81
1125

Turner
D. G.
1979
PASP
91
642

Turner
D. G.
1996
Milone
E. F.
Mermilliod
J.-C.
ASP Conf. Ser. Vol. 90, The Origins, Evolution, and Destinies of Binary Stars in Clusters
Astron. Soc. Pac.
San Francisco
443

Turner
D. G.
2012
Astron. Nachr.
333
174

Turner
D. G.
et al.
2008
MNRAS
388
444

Turner
D. G.
MacLellan
R. F.
Henden
A. A.
Berdnikov
L. N.
2011
Rev. Mex. Astron. Astrofis.
47
345

Turner
D. G.
Majaess
D. J.
Balam
D. D.
2014
Can. J. Phys.
92
1696

Vázquez
R. A.
May
J.
Carraro
G.
Bronfman
L.
Moitinho
A.
Baume
G.
2008
ApJ
672
930

Vogt
N.
Moffat
A. F. J.
1975
A&A
39
477

Wildey
R. L.
Burbidge
E. M.
Sandage
A. R.
Burbidge
G. R.
1962
ApJ
135
94