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Revisit NGC 5466 Tidal Stream with GaiaGaia, SDSS/SEGUE and LAMOST

Yong Yang,1,2 Jing-Kun Zhao,1 Miho N. Ishigaki,3,4,5 Jian-Zhao Zhou,6 Cheng-Qun Yang,7 Xiang-Xiang Xue,1 Xian-Hao Ye1,2 and Gang Zhao1,2
1CAS Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China
2School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
3National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
4Astronomical Institute, Tohoku University, 6-3, Aramaki, Aoba-ku, Sendai, Miyagi 980-8578, Japan
5Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, The University of Tokyo, 5-1-5
Kashiwanoha, Kashiwa, Chiba 277-8583, Japan
6Department of Astronomy, Beijing Normal University, Beijing 100875, People’s Republic of China
7Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, 80 Nandan Road, Shanghai 200030, People’s Republic of China
E-mail: [email protected]
(Accepted XXX. Received YYY; in original form ZZZ)
Abstract

By mining the data from GaiaGaia EDR3, SDSS/SEGUE DR16 and LAMOST DR8, 11 member stars of the NGC 5466 tidal stream are detected and 7 of them are newly identified. To reject contaminators, a variety of cuts are applied in sky position, color-magnitude diagram, metallicity, proper motion and radial velocity. We compare our data to a mock stream generated by modeling the cluster’s disruption under a smooth Galactic potential plus the Large Magellanic Cloud (LMC). The concordant trends in phase-space between the model and observations imply that the stream might have been perturbed by LMC. The two most distant stars among 11 detected members trace the stream’s length to 60°60\degr of sky, supporting and extending the previous length of 45°45\degr. Given that NGC 5466 is so distant and potentially has a longer tail than previously thought, we expect that NGC 5466 tidal stream could be a useful tool in constraining the Milky Way gravitational field.

keywords:
globular clusters: individual: NGC 5466 – Galaxy: kinematics and dynamics – Galaxy: halo
pubyear: 2021pagerange: Revisit NGC 5466 Tidal Stream with GaiaGaia, SDSS/SEGUE and LAMOSTRevisit NGC 5466 Tidal Stream with GaiaGaia, SDSS/SEGUE and LAMOST

1 Introduction

Stellar streams have been identified as the relics disrupted from globular clusters or dwarf galaxies (e.g., Ibata et al., 2001; Odenkirchen et al., 2001; Newberg et al., 2002; Majewski et al., 2004; Grillmair, 2009; Malhan et al., 2021). The discoveries of stellar streams offer an opportunity to probe the shape of the Galactic gravitational field (e.g., Küpper et al., 2015; Malhan & Ibata, 2019) and the formation history of the stellar halo (e.g., Bullock & Johnston, 2005; Bell et al., 2008; Koposov et al., 2010; Law & Majewski, 2010; Bowden et al., 2015; Grillmair & Carlin, 2016; Bernard et al., 2016; Malhan et al., 2018). In addition, the scenario of hierarchical formation for galaxies in the standard Λ\LambdaCDM cosmological model is supported by the existence of stellar streams (e.g., Springel et al., 2008; Malhan et al., 2022).

Streams formed from globular clusters are typically thin and dynamically cold, and have proved to be a powerful tool for studying the Milky Way potential (e.g., Lux et al., 2013; Küpper et al., 2015; Bovy et al., 2016; Malhan & Ibata, 2019). An example is the NGC 5466 tidal stream, which was independently detected by Belokurov et al. (2006) and Grillmair & Johnson (2006). In Belokurov et al. (2006), a 4°\sim 4\degr stream was reported using neural networks to extract the probability distribution of the cluster stars. However, by applying an optimal matched filter technique to SDSS photometric data, Grillmair & Johnson (2006) found a 45°45\degr stream extending from α180°\alpha\simeq 180\degr to α225°\alpha\simeq 225\degr. The authors also noted that a part of stream with α<190°\alpha<190\degr did not lie perfectly along computed orbits of the globular cluster but deviated from a smooth curve. They attributed this “deviation” to irregularities of the Galactic halo potential or a weak encounter with a mass concentration in the disk. The claim of 45°45\degr stream received some support from the results modelled by Fellhauer et al. (2007), in which 100°\ga 100\degr tails was produced. By investigating the “deviation”, Lux et al. (2012) examined the constrains provided by the stream on the Galactic halo shape and pointed out that only for either oblate or fully triaxial halo potentials such “deviation” was possible.

Although a long stellar stream around NGC 5466 was reported, no individual members of the stream have been distinguished until two recent pioneering works. In Ibata et al. (2021), more than 20 member stars of the stream were successfully detected for the first time with STREAMFINDER algorithm (Malhan & Ibata, 2018). In Jensen et al. (2021), 33 member stars across 31°\sim 31\degr of sky were identified through position, proper motion and metallicity cuts. The later work also compared the observed samples in phase-space to the mock stream generated in a simplified axisymmetric potential model, showing concordance between them. However, they considered that the signals at α200°\alpha\la 200\degr in Grillmair & Johnson (2006) might be not real, where few stream members were detected and the trajectory of their model deviated from the claimed matched filter path.

Given the contending conclusions about the stream’s length and its significant functionality in unraveling the Milky Way halo shape (Lux et al., 2012, 2013), in this work we aim to search for supplementary member stars, especially for those located far from the globular cluster, to provide more conclusive results on the length and trajectory of the NGC 5466 tidal stream. The paper is organized as follows. In Section 2, we introduce the data. Section 3 describes the search strategy for member stars of the stream. The model of the cluster’s disruption is given in Section 4. We present a discussion in Section 5 and draw our conclusion in Section 6.

2 Data

We base our search on high-quality astrometry and photometry provided by the GaiaGaia EDR3 (Gaia Collaboration et al., 2021; Lindegren et al., 2021; Riello et al., 2021), along with the spectroscopic data from the Sloan Extension for Galactic Understanding and Exploration (SEGUE; Yanny et al., 2009) and the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST; Cui et al., 2012; Zhao et al., 2006, 2012; Liu et al., 2015) surveys.

We begin by retrieving all stars satisfying 180°<α<225°180\degr<\alpha<225\degr and 18°<δ<45°18\degr<\delta<45\degr from the GaiaGaia EDR3 catalogue as illustrated in Fig. 1, considering the known extent of the NGC 5466 tidal stream on the celestial sphere (Newberg & Carlin, 2016). The zero-point correction in the parallax is implemented using the code provided by Lindegren et al. (2021). The corrections of the G-band magnitude and the photometric flux excess factor are applied as instructed in Riello et al. (2021). In order to ensure good astrometric and photometric solutions, only stars with ruwe < 1.4 and corrected BP/RP excess factor smaller than 3 times the associated uncertainty (see Section 9.4 in Riello et al., 2021) are retained.

Given that the distance of NGC 5466 cluster is about 16 kpc (Harris, 1996, 2010 edition), we remove all of the foreground stars within a distance of 10 kpc from the Sun, with 3 sigma confidence interval with the selection ϖ3σϖ>0.1\varpi-3\sigma_{\varpi}>0.1 mas. Stars that do not meet this criteria, including ones without ϖ\varpi or with negative ϖ\varpi, are still retained since we are not sure enough whether they are within 10 kpc. The remaining stars are cross-matched with SDSS/SEGUE DR16 (Ahn et al., 2012)111SEGUE data have not been updated since SDSS DR9 but are included in subsequent data releases. and LAMOST DR8, by which the metallicity and heliocentric radial velocity are obtained.

3 Stream Member Stars Selection

In this section, we try to identify the member stars of the NGC 5466 tidal stream using the data yielded from the Section 2.

3.1 Sky Position

Although we have retrieved the stars inside a rectangle corresponding to the known extent of the stream, there are still too many field stars that need to be cleaned up. We achieve this by fitting the track of the stream with a second-order polynomial and retaining the stars in the region created by moving the polynomial, which is given by equation (1), up and down by 1.5°1.5\degr along the δ\delta direction. It can be seen in Fig. 1 that the the stream trajectory is well enclosed, including the “deviation” part at α185°\alpha\simeq 185\degr. Through this selection, 3,130 stars inside the region are left.

δ=0.0024243α2+0.47813253α+35.54016132\delta=-0.0024243\alpha^{2}+0.47813253\alpha+35.54016132 (1)
Refer to caption
Figure 1: A comparison between the 45°45\degr detection in Grillmair & Johnson (2006) and the region used to constrain the sky position of stars. The red solid lines correspond to equation (1) ±1.5°\pm 1.5\degr. The red rectangle corresponds to the sky extent of the data retrieved in Section 2. The open square and diamond represent the location of NGC5466 and NGC 5272 cluster.

3.2 Color-Magnitude Diagram

We then select candidates of member stars in color-magnitude diagram (CMD), as illustrated in Fig. 2. All sources here have been extinction-corrected using the Schlegel et al. (1998) maps as re-calibrated by Schlafly & Finkbeiner (2011) with RV = 3.1, assuming AG/AV=0.83627A_{G}/A_{V}=0.83627, ABP/AV=1.08337A_{BP}/A_{V}=1.08337, ARP/AV=0.63439A_{RP}/A_{V}=0.63439222These extinction ratios are listed on the Padova model site http://stev.oapd.inaf.it/cgi-bin/cmd. The grey dots represent the stars that pass the first selection. The blue dots are those stars within the tidal radius of NGC 5466 rt=15.68r_{t}=15.68^{\prime} (computed from Harris, 1996, 2010 edition). We use them as the “isochrone” of the globular cluster. Considering a possible wide range of distances traced by the stream, we shift the “isochrone” up/down by 1.02 / 0.69 mag, corresponding to moving the cluster to a heliocentric distance of 10 / 22 kpc, which is also the extent inspected by Jensen et al. (2021). We pick out the stars within the area swept by the “isochrone” and show them with the red dots in Fig. 2. This selection yields 1,960 stars.

Refer to caption
Figure 2: The grey dots represent the stars that pass the first selection. The blue dots represent the stars within the tidal radius of NGC 5466. The selected stars during this step are plotted with the red dots.

3.3 Metallicity

Given that NGC 5466 has a [Fe/H] of -1.98 dex (Harris, 1996, 2010 edition), we apply a conservative metallicity cut of -2.5 dex < [Fe/H] < -1.5 dex to the remaining candidates, among which there is a maximum of [Fe/H] uncertainty of 0.5 dex. Through this cut, 570 stars are remained.

3.4 Radial Velocity

Fitting the radial velocity distribution to single out the stream stars has been used in previous studies (e.g., Koposov et al., 2010). Here we mainly refer to the Bayesian method in Huang et al. (2019).

Refer to caption
Figure 3: The diagram of αVr\alpha-V_{r} of the remaining stars, which are divided into six regions in α\alpha from A to F. The number of stars in each α\alpha bin is marked on the bottom. The location of NGC 5466 cluster is marked with a blue triangle. The solid and dashed lines show the trends of VrstV_{r}^{st} and VrmwV_{r}^{mw} based on the Bayesian results from Table 2

We firstly divide the stars in αVr\alpha-V_{r} plane into six regions, as shown in Fig. 3. These divisions are just based on the visual differences in number density of the stars: higher density for A, D and F, lower density for B and E, and moderate density for region C. Unlike Huang et al. (2019), we directly use the heliocentric radial velocities instead of converting them to the Galactic frame. For each region, it is assumed that the velocity distribution can be described as a combination of two Gaussians, one for the stream stars and the other for the Milky Way field stars. The component of stream stars has a mean VrstV_{r}^{st}, a dispersion σVrst\sigma_{V_{r}}^{st} and a fraction fstf^{st}, while the component of field stars has a mean VrmwV_{r}^{mw} and a dispersion σVrmw\sigma_{V_{r}}^{mw}. With the model parameters Θ={fst,Vrst,σVrst,Vrmw,σVrmw}\Theta=\{f^{st},V_{r}^{st},\sigma_{V_{r}}^{st},V_{r}^{mw},\sigma_{V_{r}}^{mw}\}, the likelihood of observing a star with a radial velocity of VriV_{r}^{i} is given by

i(Vri|Θ)=fst𝒩(Vri|Vrst,σVrst)+(1fst)𝒩(Vri|Vrmw,σVrmw),\mathcal{L}^{i}(V_{r}^{i}|\Theta)=f^{st}\mathcal{N}(V_{r}^{i}|V_{r}^{st},\sigma_{V_{r}}^{st})+(1-f^{st})\mathcal{N}(V_{r}^{i}|V_{r}^{mw},\sigma_{V_{r}}^{mw}), (2)

where 𝒩(x|μ,σ)\mathcal{N}(x|\mu,\sigma) denotes a Gaussian function:

𝒩(x|μ,σ)=12πσexp[(xμ)22σ2].\mathcal{N}(x|\mu,\sigma)=\frac{1}{\sqrt{2\pi}\sigma}{\rm exp}\left[-\frac{(x-\mu)^{2}}{2\sigma^{2}}\right]. (3)

By multiplying the likelihood of each star in a certain region, we can obtain the total likelihood of this region (Vr|Θ)\mathcal{L}(V_{r}|\Theta). The posterior distribution is given by

𝒫(Θ|Vr)(Vr|Θ)(Θ),\mathcal{P}(\Theta|V_{r})\varpropto\mathcal{L}(V_{r}|\Theta)\mathcal{I}(\Theta), (4)

where (Θ)\mathcal{I}(\Theta) represents the priors of the model parameters. A uniform distribution is adopted for the priors of all parameters of each region and details of them are listed in Table 1.

Table 1: Priors of the model parameters of each region.
Region fstf^{st} VrstV_{r}^{st} σVrst\sigma_{V_{r}}^{st} VrmwV_{r}^{mw} σVrmw\sigma_{V_{r}}^{mw}
(km s-1) (km s-1) (km s-1) (km s-1)
A [0, 1] [0, 150] [0, 20] [-150, 150] [50, 200]
B [0, 1] [0, 150] [0, 20] [-150, 150] [50, 200]
C [0, 1] [0, 150] [0, 20] [-150, 150] [50, 200]
D [0, 1] [50, 150] [0, 20] [-150, 150] [50, 200]
E [0, 1] [50, 150] [0, 20] [-150, 150] [50, 200]
F [0, 1] [120, 180] [0, 20] [-150, 150] [50, 200]

In order to obtain marginalized posterior distributions of the model parameters, we run the Markov chain Monte Carlo (MCMC) code (Foreman-Mackey et al., 2013) for each region. As an example, Fig. 4 shows the resulting distributions for region D, where the three vertical dashed lines indicate the 16th, 50th and 84th percentiles of the posteriors. The medians of all posteriors are summarized in Table 2.

Refer to caption
Figure 4: The marginalized posterior distributions of the model parameters for region D obtained with MCMC. Three vertical dashed lines correspond to the 16th, 50th and 84th percentiles of each posterior. The unit of velocity and its dispersion is km s-1.
Table 2: The medians of model parameters of each region.
Region fstf^{st} VrstV_{r}^{st} σVrst\sigma_{V_{r}}^{st} VrmwV_{r}^{mw} σVrmw\sigma_{V_{r}}^{mw}
(km s-1) (km s-1) (km s-1) (km s-1)
A 0.03 79.16 12.73 -54.33 110.37
B 0.23 94.21 10.62 -52.51 96.45
C 0.17 109.88 13.81 -53.64 105.99
D 0.07 124.26 6.41 -80.63 120.45
E* 0.10 101.38 14.86 -91.44 101.04
F 0.02 145.18 11.54 -30.15 116.13

For region A, B and C, a general prior [0, 150] km s-1 is adopted for VrstV_{r}^{st} and a monotonous trend that VrstV_{r}^{st} increases when α\alpha decreases is obtained after running MCMC. The other priors of VrstV_{r}^{st} especially for region F are aimed to ensure this trend, which is crucial for estimating stream’s parameters. Generally, the radial velocities of a halo stream are supposed to change monotonically along coordinates as long as there is no turning point contained (like apogalacticon), such as Pal 5 (Ishigaki et al., 2016), GD-1 (Bovy et al., 2016), Hríd and Gjöll stream (Ibata et al., 2021). Therefore, an assumption of a monotonous trend in αVr\alpha-V_{r} plane might be more reasonable for NGC 5466 stream than a non-monotonic one and it is also supported by the later model of the cluster’s disruption (see Section 4).

In Fig. 3, we show the trends of VrstV_{r}^{st} and VrmwV_{r}^{mw} with the solid and dashed lines based on the results from Table 2. We note that region E has an incompatible VrstV_{r}^{st} = 101.38 km s-1 which should be between that of region D and F [124.26, 145.18] km s-1, given the trend assumption above. Furthermore, there are no stars at all in region E located within this VrstV_{r}^{st} range according to Fig. 3. Hence, we consider that no stream members in this region are detected in our samples and the corresponding parameters derived from MCMC do not represent real situation of the stream. Instead, we fit them with one Gaussian giving a mean VrmwV_{r}^{mw}of -72.85 km s-1 and a dispersion σVrmw\sigma_{V_{r}}^{mw} of 109.63 km s-1.

To validate the derived parameters, synthetic stellar population similar to the data are generated using the Besançon model333https://model.obs-besancon.fr (Robin et al., 2003) and fitted with a Gaussian function as well. Comparisons between observed and synthetic data are shown in Fig. 5, in which the distributions of field stars are generally consistent with the simulated ones.

Refer to caption
Figure 5: The histograms of VrV_{r} of region A to F. The over plotted lines represent the fitted distributions: the stream and the Milky Way field stars (red dashed), only the Milky Way field stars (blue dotted), and the simulated field stars (green solid). For region E, the first distribution is not plotted since no stream stars are detected in this region.

With the model parameters in Table 2, we further select the member stars whose radial velocities satisfy |VrVrst|<3σVrst|V_{r}-V_{r}^{st}|<3\sigma_{V_{r}}^{st}, with which 89 stars are retained.

3.5 Proper Motion

As a stellar stream tidally disrupted from NGC 5466, it is expected to show a coherent sequence both in space and kinematics. The rest of contaminators are further rejected based on this, which is illustrated in Fig. 6. The member stars (green) found by Jensen et al. (2021) are employed as an indicator of the stream sequence in {α\alpha, δ\delta} vs. {μα\mu_{\alpha}^{*}, μδ\mu_{\delta}} planes. The outliers (gray) that deviate from the stream sequence are removed. Those stars (red) consistent with the sequence are retained and proceed to be investigated in the next plane. This means that the red plus gray points in plane NN come from the red points in plane NN-1. VrV_{r} is further used to exclude contaminators. In such a step-by-step manner, 19 highly probable member stars of NGC 5466 are finally obtained, 9 out of which are outside the tidal radius rtr_{t}.

Refer to caption
Figure 6: The proper motion in α\alpha and δ\delta, and radial velocity as a function of α\alpha and δ\delta, are shown from the top to the bottom, respectively. The red points represent those selected stars consistent with the members from Jensen et al. (2021) marked in green points. The gray points represent rejected outliers. The blue triangle represents NGC 5466 cluster, whose proper motions are taken from Vasiliev & Baumgardt (2021).

4 Comparing to Mock Streams

In order to evaluate reliability of the selected stars, we consider a model of the NGC 5466 cluster’s disruption to inspect the differences between observation and theory. This is achieved with the Python package Gala (Price-Whelan, 2017) which is designed for performing common tasks needed in Galactic Dynamics.

4.1 A Smooth Milky Way Potential

A smooth Galactic potential model is firstly examined, where “smooth” means that the sub-halo is not considered. The model consists of a Plummer bulge (Plummer, 1911), Φbulge\Phi_{\rm bulge}, two Miyamoto-Nagai disks (Miyamoto & Nagai, 1975), Φthin\Phi_{\rm thin} and Φthick\Phi_{\rm thick}, and a spherical NFW halo (Navarro et al., 1996), Φhalo\Phi_{\rm halo}:

Φbulge(r)=GMbulger2+bbulge2\Phi_{\rm bulge}(r)=\frac{-GM_{\rm bulge}}{\sqrt{r^{2}+b_{\rm bulge}^{2}}} (5)
Φthin(R,z)=GMthinR2+(athin+z2+bthin2)2\Phi_{\rm thin}(R,z)=\frac{-GM_{\rm thin}}{\sqrt{R^{2}+(a_{\rm thin}+\sqrt{z^{2}+b_{\rm thin}^{2}})^{2}}} (6)
Φthick(R,z)=GMthickR2+(athick+z2+bthick2)2\Phi_{\rm thick}(R,z)=\frac{-GM_{\rm thick}}{\sqrt{R^{2}+(a_{\rm thick}+\sqrt{z^{2}+b_{\rm thick}^{2}})^{2}}} (7)
Φhalo(r)=4πGρsrs3rln(1+rrs)\Phi_{\rm halo}(r)=\frac{-4\pi G\rho_{s}r_{s}^{3}}{r}{\rm ln}(1+\frac{r}{r_{s}}) (8)

where rr is the Galactocentric radius, RR is the cylindrical radius and zz is the vertical height. For the bulge and disks, we adopt the parameters from Pouliasis et al. (2017, Model I). The virial mass MvirialM_{\rm virial} and concentration cc used to initialize the NFW halo are from McMillan (2017). Those chosen parameters are summarized in Table 3.

Table 3: Adopted parameters of the Galactic potential.
Parameter Value
MbulgeM_{\rm bulge} 1.0672×1010M1.0672\times 10^{10}M_{\sun}
bbulgeb_{\rm bulge} 0.3 kpc
MthinM_{\rm thin} 3.944×1010M3.944\times 10^{10}M_{\sun}
athina_{\rm thin} 5.3 kpc
bthinb_{\rm thin} 0.25 kpc
MthickM_{\rm thick} 3.944×1010M3.944\times 10^{10}M_{\sun}
athicka_{\rm thick} 2.6 kpc
bthickb_{\rm thick} 0.8 kpc
MvirialM_{\rm virial} 1.37×1012M1.37\times 10^{12}M_{\sun}
cc 15.4

As for the internal gravity of the globular cluster NGC 5466, we choose a Plummer potential:

ΦGC(r)=GMGCr2+bGC2\Phi_{\rm GC}(r^{\prime})=\frac{-GM_{\rm GC}}{\sqrt{r^{\prime 2}+b_{\rm GC}^{2}}} (9)

with a MGCM_{\rm GC} of 6×104M6\times 10^{4}M_{\sun} (Sollima & Baumgardt, 2017) and a bGCb_{\rm GC} of 6.7 pc computed from the core radius of the cluster (Harris, 1996, 2010 edition). Here rr^{\prime} denotes the distance to the cluster’s center.

The solar distance to the Galactic center, circular velocity at the Sun and solar velocities relative to the Local Standard of Rest are set to 8 kpc, 220 km s-1 (Bovy et al., 2012) and (11.1, 12.24, 7.25) km s-1 (Schönrich et al., 2010), respectively. To generate long enough tidal tails which can completely cover the data, the cluster is initialized 5 Gyr ago and integrated forward from then on, releasing two particles (leading and trailing directions respectively) at Lagrange points (Gibbons et al., 2014) per 1 Myr with a total of 5000 steps. The velocity dispersion is set to 1.6 km s-1 (Baumgardt & Hilker, 2018) and the cluster mass is fixed during this process. By doing so, a mock NGC 5466 stream is obtained and we then compare it to observed data in phase-space.

In the left panel of Fig. 7, the mock stream, the member stars found by the above selections and Jensen et al. (2021), are shown in the orange dots, red squares and green points, respectively. The black crosses represent two contaminators that are further discerned given their heliocentric distance and metallicity (see Table 4). Additional members marked with the red diamonds are further selected based on the mock stream which will be described in Section 4.2. Those 10 stars inside the tidal radius rt=15.68r_{t}=15.68^{\prime}, which are still bound to the cluster, are not shown here. The NGC 5466 cluster is still marked in a blue triangle. The distances can be obtained from Anders et al. (2019) except for the star at α184.40°\alpha\simeq 184.40\degr (we call it “S1” for convenience). We estimate a distance to S1 of 17.373.45+5.7417.37^{+5.74}_{-3.45} kpc using the method from Carlin et al. (2015), which is a Bayesian approach with likelihood estimated via comparison of spectroscopically derived atmospheric parameters to a grid of stellar isochrones, and returns a posterior probability density function for star’s absolute magnitude.

From Fig. 7, our model stream is very similar to that of Fellhauer et al. (2007). At the leading end, the tail is also spread out wider than the part close to the cluster, which is due to approaching the apogalacticon as mentioned in Fellhauer et al. (2007). It can be seen that the mock stream has a trend in phase-space generally in agreement with that of the data within uncertainties. What’s more, S1 has a declination that the mock stream can not reach, implying it might be an outlier as well. However, S1 is exactly located at the “deviation” area mentioned by Grillmair & Johnson (2006), who argued that it might be caused by irregularities of the Galactic halo potential. Therefore, a smooth potential is not enough to reproduce this “deviation” and taking into account sub-halo component might be necessary.

4.2 Adding the Large Magellanic Cloud

El-Falou & Webb (2022) has discussed the effects of dwarf galaxies on the tidal tails of Globular Clusters. They claimed that NGC 5466 stream could be perturbed due to one or more close interactions with the Large Magellanic Cloud (LMC). Motivated by this, we examine the smooth Galactic potential with an addition of LMC. This is also done through Gala.

Following El-Falou & Webb (2022), we take a Hernquist Potential (Hernquist, 1990) as the internal potential of LMC:

ΦLMC(r)=GMLMCr+aLMC\Phi_{\rm LMC}(r^{\prime})=\frac{-GM_{\rm LMC}}{r^{\prime}+a_{\rm LMC}} (10)

where rr^{\prime} is the distance to the LMC center and MLMCM_{\rm LMC} and aLMCa_{\rm LMC} are set to 1011M10^{11}M_{\sun} and 10.2 kpc as well. The position and velocity of LMC are taken from Gaia Collaboration et al. (2018). In the smooth potential of Section 4.1 accompanied with a moving LMC, the cluster is initialized 5 Gyr ago and then integrated forward from then on. The mock stream under this condition is displayed in the right panel of Fig. 7.

Refer to caption
Figure 7: The planes of declination, heliocentric distance, proper motion in α\alpha and δ\delta, and radial velocity as a function of α\alpha, are shown from the top to the bottom, respectively. The orange dots in the left/right panel represent the mock stream generated under a Galactic potential without/with LMC. The green points mark the members from Jensen et al. (2021). The member stars selected in Section 3 are plotted in red squares. The red diamonds represent additional members identified based on the mock stream. The blue triangle represents NGC 5466 cluster. The gray error bars in the radial velocity planes correspond to Vrst±3σVrstV_{r}^{st}\pm 3\sigma_{V_{r}}^{st}.

As is shown, adding LMC makes the new mock stream more diffuse and a little different from the old one, especially for the end at α180°\alpha\sim 180\degr. Unlike the old mock stream that bends down at the end, the counterpart of the new stream is upturned instead, reaching where S1 is. Having also examined other sub-halos such as the Small Magellanic Cloud, Draco, Ursa Minor, Fornax and Sagittarius, it is only adding LMC, the most massive satellite, that can generate a mock stream in concordance with the observation. Hence the “deviation” of NGC 5466 tidal stream is possibly due to the effect from LMC.

We also estimate the pericentre (RperR_{per}), apocentre (RapoR_{apo}) and eccentricity (ee) of NGC 5466 cluster under both conditions. For the smooth potential, Rper=6.52R_{per}=6.52 kpc, Rapo=41.52R_{apo}=41.52 kpc and e=0.73e=0.73 are very close to those estimated in Jensen et al. (2021). For the LMC-added potential, Rper=4.30R_{per}=4.30 kpc, Rapo=53.34R_{apo}=53.34 kpc and e=0.85e=0.85 show a more elliptical orbit. We also note that the minimum separation of the cluster and LMC in the past 5 Gyr is about 22 kpc and happened 138 Myr ago, which agrees closely with that of El-Falou & Webb (2022). Such a close interaction also implies that the stream might have been perturbed by LMC.

It is worth nothing that the mock stream has a longer trailing tail than the leading tail, which implies that there might be more member stars on trailing side. Moreover, the stream’s track with α230°\alpha\ga 230\degr has been beyond the sky coverage of data used in both of Grillmair & Johnson (2006) and Jensen et al. (2021). Therefore, we investigate this possibility using the mock stream considering its good consistency with observation. We directly restrict the data according to the mock stream’s trends in phase-space. The data with 180°<α<260°180\degr<\alpha<260\degr444There are no more spectroscopic data overlapping with the stream on the sky when α\alpha goes >260°>260\degr. overlapping with the mock stream on the sky are retrieved and processed with CMD and metallicity cuts similar to those of Section 3. The remained stars are then selected in the plane of {α\alpha, δ\delta} vs. {μα\mu_{\alpha}^{*}, μδ\mu_{\delta}, VrV_{r}}, similar to the procedure of Fig. 6 but with the mock stream as the indicator. In this way, all members that have been selected in Section 3 can be reproduced and 4 more stars are identified as shown with the red diamonds in Fig. 7. Among those 4 members, one is a blue horizontal branch (BHB) star whose distance can be obtained from Xue et al. (2011) and Mints & Hekker (2017), and one is at α242.65°\alpha\simeq 242.65\degr (“S2” hereafter) whose distance is obtained using GaiaGaia parallax = 0.0777 mas with a small relative error = 0.1868 < 20%, and the distances of the other two stars still come from Anders et al. (2019). Clearly, while eliminating the field stars, constraining sky position of the data with a narrow area created by the polynomial in Section 3.1 also excludes some stream stars.

We also note that among 9 candidate members outside the tidal radius rtr_{t} obtained in Section 3, 2 stars are contaminators which have an inconsistent distance or metallicity and 4 stars have been identified in Jensen et al. (2021). Together with 4 additional members, the detailed information of 13 stars are summarized in Table 4.

Table 4: Identified member stars of the NGC 5466 tidal stream. Common stars of Jensen et al. (2021) and this work are marked with “\star”. Contaminators are marked with “×\times”. Additional members searched based on the mock stream are marked with “++”. Heliocentric distances come from Anders et al. (2019) except S1, BHB and S2 (see text). The last column indicates which survey the radial velocity and metallicity come from.
No. αJ2000\alpha_{J2000} δJ2000\delta_{J2000} dd μα\mu_{\alpha}^{*} μδ\mu_{\delta} VrV_{r} [Fe/H] Survey
(°) (°) (kpc) (mas yr-1) (mas yr-1) (km s-1) (dex)
1 (S1) 184.4038 41.1251 17.373.45+5.7417.37^{+5.74}_{-3.45} 2.9170±0.1490-2.9170\pm 0.1490 1.6745±0.1860-1.6745\pm 0.1860 163.91±6.19163.91\pm 6.19 1.943±0.044-1.943\pm 0.044 SEGUE
2+ 189.2492 41.1226 19.588.58+9.4819.58^{+9.48}_{-8.58} 0.8765±0.0543-0.8765\pm 0.0543 1.5142±0.0516-1.5142\pm 0.0516 124.60±15.65124.60\pm 15.65 1.968±0.264-1.968\pm 0.264 LAMOST
3+ (BHB) 189.8104 34.1988 15.200.40+0.4015.20^{+0.40}_{-0.40} 2.0117±0.0588-2.0117\pm 0.0588 1.1971±0.0529-1.1971\pm 0.0529 146.42±2.58146.42\pm 2.58 1.995±0.055-1.995\pm 0.055 SEGUE
4 203.2958 31.8642 15.235.28+5.6715.23^{+5.67}_{-5.28} 4.2747±0.0180-4.2747\pm 0.0180 1.1452±0.0157-1.1452\pm 0.0157 124.58±9.48124.58\pm 9.48 2.085±0.149-2.085\pm 0.149 LAMOST
5 208.9050 29.6897 15.826.96+7.0915.82^{+7.09}_{-6.96} 5.1124±0.0710-5.1124\pm 0.0710 0.8719±0.0519-0.8719\pm 0.0519 106.30±16.71106.30\pm 16.71 2.046±0.356-2.046\pm 0.356 LAMOST
6 211.6564 28.2157 11.295.20+4.3411.29^{+4.34}_{-5.20} 5.2769±0.0407-5.2769\pm 0.0407 0.7132±0.0334-0.7132\pm 0.0334 111.78±9.06111.78\pm 9.06 1.901±0.105-1.901\pm 0.105 LAMOST
7× 213.9924 26.1863 6.691.60+2.166.69^{+2.16}_{-1.60} 5.5692±0.0441-5.5692\pm 0.0441 0.7774±0.0480-0.7774\pm 0.0480 104.40±17.56104.40\pm 17.56 1.602±0.096-1.602\pm 0.096 LAMOST
8+ 214.0078 29.8912 12.313.73+5.5512.31^{+5.55}_{-3.73} 5.0479±0.0281-5.0479\pm 0.0281 0.5467±0.0248-0.5467\pm 0.0248 73.43±8.9973.43\pm 8.99 2.018±0.127-2.018\pm 0.127 LAMOST
9× 214.4116 27.0612 14.866.04+6.0014.86^{+6.00}_{-6.04} 6.2586±0.0500-6.2586\pm 0.0500 0.6391±0.0449-0.6391\pm 0.0449 88.35±10.3388.35\pm 10.33 1.542±0.120-1.542\pm 0.120 LAMOST
10 216.4128 25.8587 12.104.91+4.9812.10^{+4.98}_{-4.91} 5.8371±0.0324-5.8371\pm 0.0324 0.6180±0.0310-0.6180\pm 0.0310 84.85±7.3584.85\pm 7.35 1.876±0.023-1.876\pm 0.023 LAMOST
11 217.8405 24.8631 13.404.54+5.9213.40^{+5.92}_{-4.54} 6.0359±0.0369-6.0359\pm 0.0369 0.4615±0.0395-0.4615\pm 0.0395 87.31±10.3387.31\pm 10.33 1.954±0.125-1.954\pm 0.125 LAMOST
12 220.3912 23.1246 12.473.93+4.3512.47^{+4.35}_{-3.93} 6.3277±0.0212-6.3277\pm 0.0212 0.3645±0.0270-0.3645\pm 0.0270 64.90±7.5064.90\pm 7.50 1.981±0.023-1.981\pm 0.023 LAMOST
13+ (S2) 242.6515 9.7092 12.872.03+2.9612.87^{+2.96}_{-2.03} 7.2878±0.0131-7.2878\pm 0.0131 0.9768±0.01260.9768\pm 0.0126 43.32±5.71-43.32\pm 5.71 1.929±0.032-1.929\pm 0.032 LAMOST

Consistent trends in phase-space between the model stream and our members have been shown in Fig. 7 and a metallicity of [Fe/H] = -1.98 dex of the cluster is also in concordance with [Fe/H] of stars in Table 4. Another inspection may be about stellar age which can be reflected by the GaiaGaia photometry. Fig. 8 shows the color - absolute magnitude diagram of the cluster and our stars, where the error bars account for uncertainties in MGM_{G} due to the distance errors. All member stars including S1 (darkest) and S2 (brightest) lie in the cluster’s isochrone well within uncertainties.

Refer to caption
Figure 8: The blue dots represent the stars within the tidal radius of NGC 5466. The member stars are plotted in the red squares and diamonds which have the same meaning as Fig. 7. The error bars account for uncertainties in absolute magnitude MGM_{G} due to the distance errors. The two contaminators are not plotted here.

5 Discussion

As introduced in Section 1, different results on the length of this tenuous stream have been concluded. To break the deadlock, this work is dedicated to search for the stream’s member stars which could be a direct indicator of the stream’s length. Compared to a 31°31\degr tail traced by Jensen et al. (2021), our results contend a 60°\sim 60\degr long stream from S1 at leading side to S2 at trailing side. S1 is 27°\sim 27\degr away from the cluster (α=211.3640°\alpha=211.3640\degr), which supports the statement of Grillmair & Johnson (2006) that the stream extends 30°\sim 30\degr towards the leading direction. S2 has a celestial position of (α,δ)(\alpha,\delta) = (242.6515°,9.7092°)(242.6515\degr,9.7092\degr) beyond the sky coverage of data used in Grillmair & Johnson (2006) and Jensen et al. (2021).

Although a longer stream is traced in this work, it should be noted that some of members are far apart from the others. For example, S2 and No.12 are spaced by 22°\degr in α\alpha, between which there is no star detected. We consider that this might be caused by incompleteness of the spectroscopic data, and we do some tests to illustrate it. In Fig. 9, just using GaiaGaia data, we obtain about 850 stream candidates through sky position, CMD and proper motion cuts based on the model stream and plot them with the red points. It can be seen that those candidates are generally continuously distributed in space, although there must be contaminants because they still need to be selected through metallicity and radial velocity which are not provided by GaiaGaia. The number of stars is reduced substantially after cross-matching with LAMOST and SEGUE data, only 36 common stars remained as shown with the blue squares in the figure. There are large gaps now. Therefore, we think the number of spectra is very limited and most (even more than 95%) of GaiaGaia sources are lost during cross-matching, which probably include stream stars that we need. In other words, some stream stars are not observed in those spectroscopic surveys. However, we can not completely exclude that the stream truly has large spatial gaps due to some physical mechanism, because the data about the stream we have are limited yet. It is expected that this problem could be solved through more detailed observations provided by the upcoming surveys.

Refer to caption
Figure 9: The orange points represent the mock stream. The red points represent the stream candidates which are obtained with sky position, CMD and proper motion cuts based on the model stream just using GaiaGaia data. The blue squares represent common stars between GaiaGaia and LAMOST+SEGUE data.

Individual stream members can be used to constrain the Galactic potential (e.g., Lux et al., 2013; Küpper et al., 2015; Bovy et al., 2016; Malhan & Ibata, 2019). Therefore, the search for those members are fundamental and crucial. We anticipate that our results could be helpful in detecting more stream stars of NGC 5466 in the later observations, such as the follow-up spectroscopic campaign PFS-SSP (Subaru Strategic Program with Prime Focus Spectrograph) with deeper limiting magnitude.

6 Summary

With astrometric and photometric data from GaiaGaia EDR3, spectroscopic data from SDSS/SEGUE DR16 and LAMOST DR8, 11 member stars of the NGC 5466 tidal stream are identified after applying a variety of cuts in sky position, color-magnitude diagram, metallicity, proper motion and radial velocity. Among the 11 stars, 4 have been detected by Jensen et al. (2021) and 7 are newly identified. By modeling the cluster’s disruption, a mock stream in concordance with observation is reproduced under a smooth Galactic potential combined with the Large Magellanic Cloud, which might have perturbed the stream. The detection of S1 at leading side supports the claim of Grillmair & Johnson (2006). From S1 to S2, another highly probable member at trailing tail, the stream’s length is traced to 60°60\degr of sky. Given that NGC 5466 is so distant and potentially has a longer tail than previously thought, we expect that like Pal 5 and GD-1, NGC 5466 tidal stream will be another useful tool in constraining the Milky Way potential.

Acknowledgements

We thank the referee for the thorough reviews that have helped us to improve the manuscript. This study is supported by the National Natural Science Foundation of China under grant No. 11988101, 11973048, 11927804, 11890694 and National Key R&D Program of China No. 2019YFA0405502. We acknowledge the support from the 2m Chinese Space Station Telescope project: CMS-CSST-2021-A10, CMS-CSST-2021-B05.

Guoshoujing Telescope (the Large Sky Area Multi-Object Fiber Spectroscopic Telescope LAMOST) is a National Major Scientific Project built by the Chinese Academy of Sciences. Funding for the project has been provided by the National Development and Reform Commission. LAMOST is operated and managed by the National Astronomical Observatories, Chinese Academy of Sciences.

This work presents results from the European Space Agency (ESA) space mission GaiaGaia. GaiaGaia data are being processed by the GaiaGaia Data Processing and Analysis Consortium (DPAC). Funding for the DPAC is provided by national institutions, in particular the institutions participating in the GaiaGaia MultiLateral Agreement (MLA). The GaiaGaia mission website is https://www.cosmos.esa.int/gaia. The GaiaGaia archive website is https://archives.esac.esa.int/gaia.

Funding for the Sloan Digital Sky Survey IV has been provided by the Alfred P. Sloan Foundation, the U.S. Department of Energy Office of Science, and the Participating Institutions.

SDSS-IV acknowledges support and resources from the Center for High Performance Computing at the University of Utah. The SDSS website is www.sdss.org.

SDSS-IV is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS Collaboration including the Brazilian Participation Group, the Carnegie Institution for Science, Carnegie Mellon University, Center for Astrophysics | Harvard & Smithsonian, the Chilean Participation Group, the French Participation Group, Instituto de Astrofísica de Canarias, The Johns Hopkins University, Kavli Institute for the Physics and Mathematics of the Universe (IPMU) / University of Tokyo, the Korean Participation Group, Lawrence Berkeley National Laboratory, Leibniz Institut für Astrophysik Potsdam (AIP), Max-Planck-Institut für Astronomie (MPIA Heidelberg), Max-Planck-Institut für Astrophysik (MPA Garching), Max-Planck-Institut für Extraterrestrische Physik (MPE), National Astronomical Observatories of China, New Mexico State University, New York University, University of Notre Dame, Observatário Nacional / MCTI, The Ohio State University, Pennsylvania State University, Shanghai Astronomical Observatory, United Kingdom Participation Group, Universidad Nacional Autónoma de México, University of Arizona, University of Colorado Boulder, University of Oxford, University of Portsmouth, University of Utah, University of Virginia, University of Washington, University of Wisconsin, Vanderbilt University, and Yale University.

Data Availability

The identified member stars of the NGC 5466 tidal stream are available in the article.

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