1. INTRODUCTION
Open clusters (OCs) are loosely bound systems consisting of around a hundred to a few thousand stars. Owing to the origin of cluster members from a common molecular cloud, they have similar chemical composition, kinematic properties and distance from the Sun (Dias et al. 2002; Joshi et al. 2016).
This makes them prime candidates for studying stellar formation and evolution. OCs can help us conveniently determine various astrophysical parameters and provide insights into the chemical and structural evolution of the Milky Way Galaxy (Sariya et al. 2021a; Tadross & Hendy 2021).
Global space missions like Gaia, launched in 2013, have provided the scientific community with high-precision, 3-dimensional spatial and velocity distributions of more than 3 billion stars (Gaia Collaboration et al. 2016). The mission has transformed the field of astrophysics and established a foundation for high-quality research. Although it is challenging to distinguish open cluster members from the background-field stars, the 3-D data from the Gaia mission has made the job easier (van Leeuwen et al. 2022). Much work has recently been done to estimate the membership probability of stars in the cluster region using the proper motion and parallax information (Cantat-Gaudin et al. 2018; Bisht et al. 2019; Ferreira et al. 2020; Sariya et al. 2021a). The decontaminated sample of cluster members thus obtained naturally yields cleaner color-magnitude diagrams and more accurate estimates of the astrophysical parameters.
In this study, we estimate the astrophysical properties of NGC 5288, an open cluster positioned at α2000 = 13h48m44s, δ2000 = −64◦41′06′′ corresponding to the Galactic coordinates l = 309◦ .010 and b = −2◦ .492 according to the WEBDA open cluster database. It is located in the constellation Circinus and situated to the south of the celestial equator, mostly visible from the southern hemisphere. It is designated as Cr 278 in the Collinder catalogue of open clusters (Collinder 1931). The charge-coupled device (CCD) photometric data of the cluster observed at the Cerro Tololo Inter-American Observatory (CTIO) were analysed by Piatti et al. (2006) for determining fundamental parameters like size, age, reddening, distance and metallicity. They described NGC 5288 as a rich, strongly absorbed cluster with a small but bright nucleus and a low-density extended corona located beyond the Carina spiral feature. However, the extensive scattering caused due to atmospheric disturbances and low resolution of photometric data from ground based telescopes make it difficult to study individual stars in the cluster, differentiating them against the background field, which restricts scientists to carry out further research. The space based astrometric solutions from the Gaia mission are hence of immense importance for modern research with more accuracy. Specifically for NGC 5288, the Gaia data helped us estimate the basic parameters of the cluster more accurately. Also, completeness of Gaia photometric data is 100 percent for this cluster for a limit of 20 mag, which further helped us in finding the actual present day mass function slope of the cluster.
This paper is organized as follows. In § 2, we describe the data used, and in § 3, we elaborate on the procedure to calculate the membership probability of the stars. In § 4, we derive the cluster’s structural properties and basic parameters. § 5 sheds light on fitting the derived color magnitude diagram (CMD) of the cluster on theoretical isochrones and subsequently evaluating its age and distance. § 6 discusses the luminosity and mass functions of the cluster in detail. § 7 is devoted to the orbital dynamics of the cluster. Finally, in § 8, we conclude the study and present a summary of the results.
2. DATA USED
2.1. 2MASS
In this paper, we have used The Two Micros Allsky Survey (2MASS, Skrutskie et al. 2006) data for the cluster NGC 5288. This data set uses two highly automated 1.3m telescopes, one at Mt. Hopkins, Arizona (AZ), USA and the other at CTIO, Chile, with a 3-channel camera (256×256 array of HgCdTe detectors in each channel). The 2MASS catalog provides J (1.25 µm), H (1.65 µm) and K s (2.17 µm) band photometry for millions of galaxies and nearly a half-billion stars (Carpenter, 2001). The sensitivity of this catalog is 15.8 mag for J, 15.1 mag for H and 14.3 mag for K s band at S/N=10.
2.2. GAIA DR3
The Gaia DR3 data gives a complete astrometric solution for more than 1.46 billion sources. It consists of their positions on the sky (α,δ), parallaxes, and proper motions within 3 to 21 mag limit in the G band (Gaia Collaboration et al. 2016; Babusiaux et al. 2022). The Gaia photometric bands: G, G BP , and G RP gather measurements over the wavelength ranges of 330−1050,330−680, and 640−1050 nm, respectively.
We collected the data within a radius of 10 arcmin, taking into account the estimated cluster radius of 6.3 arcmin from an earlier study (Piatti et al. 2006) of the cluster. The identification map of the cluster under study is shown in Figure 1 and is taken from the Digitized Sky Survey (DSS). The proper motions and their respective errors for all stars in the Gaia data base are plotted against G mag in Figure 2.
3. IDENTIFICATION OF CLUSTER MEMBERS
3.1. Vector Point Diagrams
As mentioned above, the cluster stars share similar kinematic properties and the same mean motions. Therefore, proper motions of stars are a crucial parameter for identifying cluster members and field stars (Yadav et al. 2013; Bisht et al. 2021b). A graph is plotted between the proper motion components of the stars, µ α cosδ (mas yr−1) and µ δ (mas yr−1) to obtain a vector point diagram (VPD), as shown in the top panel of Figure 3. A CMD corresponding to each of these VPDs is plotted in the bottom panel of Figure 3. Proper motion is the change in the apparent positions of a celestial object when observed from the center of mass of the Solar System, and each point in a VPD gives the proper motion of one star. The dense region in a VPD depicts the stars that share similar motions in space compared with the background field stars. This is one of the primary conditions of being cluster members. Hence, we have used these stars for a preliminary cluster member selection. We define an eye estimated radius around dense region in the VPD as shown with red color in Figure 3. Finally we calculate the membership probability for the selected stars. The CMD in the middle of the bottom panel of Figure 3 appears much cleaner than the other two, confirming the effectiveness of this primary selection method.
3.2. Membership Probabilities
In this section, we aim to estimate the membership probability of stars using precise measurements of PMs and parallax from Gaia-DR3. Vasilevskis et al. (1958) described the mathematical setup for determining the membership probability of stars. For NGC 5288, we have used the method devised by Balaguer-Núñez et al. (1998) to calculate the membership probability of individual stars. This method has been used previously for both open and globular star clusters (Yadav et al. 2013, Sariya & Yadav 2015; Sariya et al. 2021a, 2021b), and a detailed description of this method can be found in Bisht et al. (2020).
To derive the two distribution functions defined in this method,
The membership probabilities (P µ ) are thus determined, and they are shown as a function of Gaia’s G magnitude in Figure 4. Finally, we identified 304 stars with P µ > 50%.
To estimate the mean PM of NGC 5288, we considered the most probable cluster members and constructed the histograms for µ α cosδ and µ δ as shown in the right panel of Figure 6. The fitting of a Gaussian function to the histograms provides the mean PM in both directions. We obtained the mean PM of NGC 5288 as −3.840±0.230 and −1.934 ± 0.162mas yr−1 for µ α cosδ and µ δ respectively. The estimated values of mean PM for this object is in very good agreement with the mean PM value given by Cantat-Gaudin et al. (2018) (µ α cosδ =−3.850mas yr−1, µ δ =−1.935mas yr−1).
3.3. Cluster Membership Validation
We have categorized the stars with membership probability greater than 50% as cluster members, and only these stars have been used for evaluating the properties of the cluster in the current study. To validate the accuracy of our identified cluster members, we have plotted proper motions, µ α cosδ (mas yr−1) and µ δ (mas yr−1), and parallax as a function of G mag in Figure 5. The graph shows a narrow distance range of parallax and proper motion coordinates for the stars categorized as cluster members, but this range is significant for field stars. Hence it is fair to say that we have successfully separated the cluster members.
4. STRUCTURAL PROPERTIES
4.1. Cluster Center
Precise estimations of the central coordinates of a cluster play a vital role in evaluating its fundamental properties. We use a star count approach that states that the cluster center is located at the point with the highest stellar density in the cluster region to determine central coordinates (Bisht et al.2021a). For this, a histogram of the star count in RA and DEC is plotted and fitted with Gaussian profiles. The mean values of RA and DEC are estimated to be 207.188 ± 0.156 deg (13 h 48 m 45 s ), and −64.679 ± 0.066 deg (−64◦40′44′′), respectively (refer to Figure 6). The center of the cluster is approximated to be at these coordinates. These values agree well with the values estimated in other studies, as shown in Table 2.
f0
(stars/arcmin2) |
fbg
(stars/arcmin2) |
rc
(arcmin) |
Cluster Radius
(arcmin) |
δc |
28.60 ± 0.19 | 0.54 ± 0.06 | 1.36 ± 0.05 | 5.5 | 17 ± 2 |
Parameters | Numerical Values | Reference |
(RA, DEC) (deg) | (207.188 ± 0.156, −64.679 ± 0.066) | Present study |
(207.193,−64.680) | Cantat-Gaudin et al. (2018) | |
(207.203,−64.673) | Liu & Pang (2019) | |
(207.18333,−64.68500) | Dias et al.(2014) | |
(µα cosδ, µδ) (mas yr−1) | (−3.840 ± 0.230,−1.934 ± 0.162) | Present study |
(−3.850 ± 0.098,−1.935 ± 0.087) | Cantat-Gaudin et al. (2018) | |
(−3.841 ± 0.169,−1.905 ± 0.157) | Liu & Pang (2019) | |
(−5.25 ± 3.65,−5.79 ± 5.58) | Dias et al.(2014) | |
Cluster Radius (arcmin) | 5.5 | Present study |
2.50 | Dias et al.(2014) | |
6.3 | Piatti et al. (2006) | |
Age (Myr) | 510±190 | Present study |
1259 | Kharchenko et al. (2016) | |
178 | Dias et al. (2014) | |
126 | Piatti et al. (2006) | |
Mean Parallax (mas) | 0.361 ± 0.152 | Present study |
0.345 ± 0.041 | Cantat-Gaudin et al. (2018) | |
0.345 ± 0.026 | Liu & Pang (2019) | |
Distance (kpc) | 2.77 ± 0.42 | Present study |
2.6739 | Cantat-Gaudin & Anders (2019) | |
5.086 | Kharchenko et al. (2016) | |
2.158 | Dias et al. (2014) | |
2.1 ± 0.3 | Piatti et al. (2006) |
A CMD, an identification chart and the proper motion distribution of cluster members (with the cluster center highlighted) are plotted in Figure 7.
4.2. Radial Density Profile
The radius of a cluster gives us a direct indication of its physical dimensions. We plotted a radial density profile (RDP) of NGC 5288 as shown in Figure 8. We divided the cluster region into several concentric circular bins and calculated the number density,
where f
bg
,f
0
,r
c
are background density, central density and core radius, respectively. Using the King (1962) fit, we estimate the structural parameters of NGC 5288, which are given in Table 1. We estimate the cluster radius as the point after which the cluster density merges with the field density. Following this criterion, we derived the cluster radius as ≈ 5.5 arcmin. The previous study by Piatti et al. (2006) estimates the radius of NGC 5288 as 6.3 arcmin using CCD photometry. We also calculate the density contrast parameter, δ
c
, for the cluster using the formula,
5. DISTANCE, REDDENING AND AGE OF NGC 5288
The age and distance of open clusters give us insights into the kinematics, structure, and chemical evolution of the galaxy they are situated in (Friel & Janes 1993). We have estimated the distance using the parallax method and the isochrone fitting method as described in this section.
5.1. Distance using the Parallax Method
In this section, we will use one of the essential distance measurement techniques, the parallax, to approximate the cluster’s distance (Luri et al. 2018). A histogram of the parallax values of cluster members is plotted in which we rejected the spurious stars having negative parallax values. It is fitted to a Gaussian profile to obtain the mean parallax, which comes out to be 0.361 ± 0.152 mas, as shown in Figure 9. This value corresponds to a distance of 2.77 ± 0.42 kpc. Since Gaia provides the most precise parallax values with a minimum error, this will provide the more accurate distance value. Also, the value of distances calculated from the parallax is more accurate than the values calculated from the photometric methods. Keeping this in mind, we fixed the value of cluster distance and then fitted the isochrones on the cluster main sequence to calculate the other fundamental parameters of the cluster.
5.2. Interstellar Reddening from JHK Colors
The cluster reddening in the near-IR region has been estimated using the (J − H) vs (J − K) colorcolor diagrams as shown in Figure 10. The black dots are the cluster members, the solid red line represents the cluster’s zero-age main sequence (ZAMS) taken from Caldwell et al. (1993), while the red dashed line is the ZAMS displaced by the value of E(J − H) and E(J − K), which are estimated as 0.15 ± 0.04 and 0.28±0.07 respectively. The reddening is calculated using the following equations (Fiorucci & Munari 2003) :
Using the above equations, we derived the interstellar reddening of the cluster, E(B − V ) as 0.45.
5.3. Age and Distance from Isochrone Fitting
We estimate important cluster parameters such as age and metallicity by fitting the theoretical isochrones of Marigo et al. (2017) to the CMDs, (G, G BP − G RP ) and (J, J − H) as shown in Figure 11. Color-magnitude diagrams (CMDs) represent the relationship between the absolute magnitudes of the stars and their surface temperatures, usually identified by their color. CMDs are extensively used to study star clusters and are beneficial for estimating their properties (Kalirai & Tosi 2004; Sariya et al. 2021b). We tried to fit many isochrones with different metallicity and ages and found the best fit at Z=0.03, which shows a good agreement with the literature value of 0.04 given by Piatti et al. (2006). In Figure 11, we have superimposed theoretical isochrones of different ages (log age = 8.5, 8.7 and 8.9) and Z=0.03 over the observed (G, G BP − G RP ) and (J, J − H) CMDs. We estimated the cluster’s age to be 510±190 Myr. Our estimated age lies between the age given by Dias et al. (2014) and Kharchenko et al. (2016). We found the color excess value, E(G BP − G RP ) of the cluster as 0.60. The isochrone fitting is performed so that it will result in a cluster distance close to what we estimated from the parallax. From this fitting, we calculated the distance modulus (m − M) as 13.50 ± 0.25 mag, corresponding to a heliocentric distance of 2.64±0.11 kpc. This value is comparable with the distance we approximated using the parallax method in the above section. The A G value for this cluster is 0.99±0.62, which is calculated by the weighted mean method using the A G values of cluster members from the Gaia DR3 data. The value of the total to selective extinction ratio using values determined in the present analysis is compatible with the value given by Wang & Chen (2019) within errors. A comparative analysis of the fundamental properties of cluster members derived in this study with the values in the literature is given in Table 2.
6. LUMINOSITY AND MASS FUNCTIONS
The luminosity function (LF) is the distribution of stars of a cluster in different magnitude bins. We considered cluster members with membership probability higher than 50% in the G/(G BP −G RP ) CMD to construct the LF for NGC 5288. To build the LF, first we transformed the apparent G magnitudes into absolute magnitudes by using the distance modulus. Then we plotted the histogram of the LF as shown in Figure 12. The interval of 1.0 mag was chosen to have an adequate number of stars per bin for statistical usefulness. We found an increasing LF for this cluster, because it still retains its faint members.
The mass function (MF) is the distribution of masses of cluster members per unit volume. A massluminosity connection can transform LF into the mass function (MF). Since we could not acquire an observational transformation, we must rely on theoretical models. To convert LF into MF, we used the cluster parameters derived in this paper, and theoretical models are given by Marigo et al. (2017). The resulting MF is shown in Figure 13. The mass function slope can be derived from the linear relation
In the above relation, dN symbolizes the number of stars in a mass bin dM with the central mass M, and x is the mass function slope. The Salpeter (1955) value for the mass function slope is x = 1.35. This form of Salpeter demonstrates that the number of stars in each mass range declines rapidly with increasing mass. Our derived MF slope value, x = 1.39 ± 0.29, agrees with Salpeter’s slope within the uncertainty. Utilizing this value of the mass function slope within the mass ranges 1.0 - 2.7 M ⊙, the total and mean mass for the cluster members were acquired as ≈ 464M ⊙ and ≈ 1.53M ⊙, respectively.
6.1. Dynamical Relaxation Time
In the lifetime of star clusters, encounters between their member stars gradually lead to increased energy equipartition throughout the clusters. In this process, massive stars are concentrated towards the cluster core and transfer their kinetic energy to fainter stars. The relaxation time T R is defined as the time in which the stellar velocity distribution becomes Maxwellian and is expressed by the following formula:
where N represents the number of stars in the clusters (in our case, the ones with membership probability higher than 50%), R
h
is the cluster half mass radius expressed in parsec and
7. ORBIT OF THE CLUSTER
Galactic orbits are valuable tools to explore the dynamical aspects of the objects in our Galaxy. We derived orbits and orbital parameters of NGC 5288 using the Galactic potential models discussed by Irrgang et al. (2013). The galactic potentials used in the present analysis are explained by Rangwal et al. (2019). In this analysis, we adopted the refined parameters of galactic potentials from Bajkova & Bobylev (2017); they used newly available observational data to update these parameters. Information required for orbital integration such as center coordinates (α and δ), mean proper motions (µ α cosδ, µ δ ), parallax angles, age and heliocentric distance (d ⊙) are taken from the present analysis. The value for the radial velocity of the cluster, which is equal to −23.83 ± 1.49 km/sec is taken from Soubiran et al. (2018).
We adopted the right-handed coordinate system to convert equatorial position and velocity components into galactic position (R, ϕ, z), and galacticspace velocity components (U,V,W), where (R, U), (ϕ, V ), and (z, W) are the radial, tangential, and vertical space and velocity components, respectively. Here, the x-axis is taken positive towards the galactic center, the y-axis is towards the direction of galactic rotation, and the z-axis is in the vicinity of the galactic north pole. The values of the galactic center and north-galactic pole are adopted from Reid & Brunthaler (2004) as (17 h 45 m 32 s .224,−28◦56′10′′) and (12 h 51 m 26 s .282,27◦7′42′′ .01) respectively. To adopt a correction for the Standard Solar Motion and the motion of the Local Standard of Rest (LSR), we utilized the Sun’s position and space-velocity components as (8.3,0,0.02) kpc and (11.1,12.24,7.25) km/s (Schönrich et al. 2010), respectively.
The resultant orbits are shown in Figure 14. In the top left panel of the figure, we plotted the path followed by the cluster in the R and Z plane, representing the orbit’s side view. The top right panel is a plot of the x and y components of the galactic distance R. The bottom panel shows a plot of the time of orbit integration and the object’s height from the galactic disc. The red-filled triangle and the green-filled circle denote the cluster’s birth and present-day position, respectively. The orbital parameters are summarised in Table 4.
R (kpc) | Z(kpc) | ϕ | U (km/s) | V (km/s) | W (km/s) |
6.919 | -0.101 | 0.320 | 30.490 | -243.025 | 5.457 |
*The meaning of the symbols used is described in the text.
e | Ra | Rp | Zmax | E (100 km/sec)2 | Lz (100 km/sec)2 | TR (Myr) | TZ (Myr) |
-0.010 | 7.213 | 7.363 | 0.125 | -12.146 | -16.816 | 177.621 | 68.837 |
*Here e is eccentricity, Rp is the maximum distance travelled by the cluster in the x direction, Ra is the maximum distance travelled by the cluster in the y direction, E is energy, Lz is momentum, TR is the time period for motion in plane, and TZ is the time period for motion in the z-direction.
From Figure 14 and Table 4, it is evident that the cluster is following a boxy pattern and moving in a circular orbit around the galactic center. The cluster is part of the galactic thin disc, moving inside the solar circle (the position of the Sun is at 8.3 kpc). The cluster was born very close to the galactic disc and hence highly affected by the tidal forces originating from the disc, which led to a small orbit height. This also led to a smaller time period in the vertical direction, as visible from Table 4 and the bottom panel of Figure 14. The cluster is very young, so it must contain its fainter stars, but we can notice a significant dip in the luminosity function of the cluster (Figure 12), which reflects an absence of very low mass stars in the cluster. We expect this because of the close proximity of the cluster to the galactic disc. This cluster is highly affected by the galactic tidal force and has lost its low mass stars to the field.
8. CONCLUSION
We have investigated a poorly studied open cluster, NGC 5288, using 2MASS and Gaia DR3 photometric and astrometric database. We estimated the membership probabilities of stars using their PM and parallax measurements and identified 304 cluster members with membership probability greater than 50%. We estimated the fundamental properties of the cluster, investigated its structure, conducted a dynamical study and derived its galactic orbit and orbital parameters. A summary of the major outcomes from this study follows:
Galaxy. The color figure can be viewed online.
The cluster center is estimated as α = 207.188±0.156 deg (13 h 48 m 45 s ) and δ = −64.679 ± 0.066 deg (−64◦40′44′′) using the cluster members.
The core radius and the cluster radius are estimated as 1.36 ± 0.05 arcmin and 5.5 arcmin, respectively, using the radial density profile.
The mean proper motions of cluster members in right ascension and declination are calculated as (−3.840 ± 0.230) and (−1.934 ± 0.162)masyr−1, respectively. The interstellar reddening, E(B − V ) of the cluster is estimated as 0.45.
The heliocentric distance of the cluster is estimated using the parallax method and is equal to 2.77 ± 0.42 kpc. We determine the cluster’s age as 510 ± 190 Myr by fitting the obtained CMDs of the cluster with theoretical isochrones with Z=0.03, given by Marigo et al.(2017).
The mass function slope of 1.39 ± 0.29 is found for NGC 5288 to be in fair agreement within the uncertainty with the value (1.35) given by Salpeter (1955). Our study also indicates that this cluster is dynamically relaxed.
We integrated the orbits of the cluster for a time duration equal to the cluster’s age. We found that the cluster is born near the Galactic disc and moves in a circular orbit with a very small scale height. We also expect that the absence of low-mass stars of the cluster is an effect of strong tidal forces originating from the Galactic disc.