Discovery of Extended Structure Around Open Cluster COIN-Gaia 13 Based on Gaia EDR3

2022-05-24 06:34LeyaBaiJingZhong钟靖LiChen陈力JingLi李静andJinliangHou侯金良
关键词:陈力李静

Leya Bai ,Jing Zhong (钟靖) ,Li Chen (陈力),3 ,Jing Li (李静) ,and Jinliang Hou (侯金良),3

1 School of Physics and Astronomy,China West Normal University,Nanchong 637002,China;lijing@bao.ac.cn

2 Key Laboratory for Research in Galaxies and Cosmology,Shanghai Astronomical Observatory,Chinese Academy of Sciences,Shanghai 200030,Chinajzhong@shao.ac.cn

3 School of Astronomy and Space Science,University of Chinese Academy of Sciences,Beijing 100049,China

Abstract COIN-Gaia 13 is a newly discovered open cluster revealed by Gaia DR2 data.It is a nearby open cluster with a distance of about 513 pc.Combined with the five-dimensional astrometric data of Gaia EDR3 with higher accuracy,we use the membership assignment algorithm (pyUPMASK) to determine the membership of COINGaia 13 in a large extended spatial region.The cluster has 478 identified candidate members.After obtaining reliable cluster members,we further study its basic properties and spatial distribution.Our results show that there is an obvious extended structure of the cluster in the X-Y plane.This elongated structure is distributed along the spiral arm,and the whole length is about 270 pc.The cluster age is 250 Myr,the total mass is about 439 M⊙and the tidal radius of the cluster is about 11 pc.Since more than half of member stars(352 stars)are located outside twice the tidal radius,it is suspected that this cluster is undergoing the dynamic dissolution process.Furthermore,the spatial distribution and kinematic analysis indicate that the extended structure in COIN-Gaia 13 is more likely to be caused by differential rotation of the Galaxy.

Key words:(Galaxy:)open clusters and associations:individual(COIN-Gaia 13)–stars:kinematics and dynamics–methods:data analysis

1.Introduction

Most open star clusters are located on a spiral arm,composed of young stars in the Galactic thin disk (compared with globular clusters) and are undergoing continuous formation (Moraux 2016).It is generally believed that stars in clusters are born in the same high-density molecular cloud region and have similar properties such as age,kinematic and chemical characteristics,and so on.Then,star clusters will be affected by many factors in the process of dynamic evolution which lead to mass loss,such as two body relaxation(Spitzer 1987),disk impact (Binney &Tremaine 1987) and tidal forces (Spitzer 1958;Gieles et al.2009) (either by the Galactic gravitational potential or giant molecular clouds,or other star clusters).Finally,with the expansion and disintegration of star clusters most member stars are dispersed as field stars.Therefore,open clusters are important tools for studying the formation and evolution of our Galaxy (especially the Galactic disk).

In general,the first step in studying an open cluster is to determine the member stars.The reliability of cluster member identification greatly depends on the accuracy of observational data.The Gaia mission4(https://www.cosmos.esa.int/gaia)provides five precise astrometric parametersand three band photometry(G,GBPand GRP) for more than one billion stars (Lindegren et al.2018).This allows us to investigate a large number of open clusters with unprecedented accuracy.After dissemination of Gaia Data Release 2 (DR2,Evans et al.2018),the study of open star clusters has ushered in a new era:on the one hand,a large number of member stars in reported star clusters were reidentified(Cantat-Gaudin et al.2018);on the other hand,more and more newly discovered star clusters were revealed and reported.Cantat-Gaudin et al.(2018),Cantat-Gaudin&Anders(2020),Cantat-Gaudin et al.(2020) used the UPMASK algorithm to determine the cluster members and provided an updated cluster catalog including previously known clusters and newly discovered clusters.

Due to the improvement of data accuracy by Gaia,it is possible to detect the low-density structure of clusters in position space.For example,the newly discovered young extended structure of the Double Cluster h and χ Persei has a scale of about six to eight times the core radii (Zhong et al.2019).Furthermore,Zhong et al.(2019) also report the discovery of filamentary substructures extending to about 200 pc away from the Double Cluster.Similar discoveries of extended structures are the star relic filaments with dozens of pc scales in the Orion star-forming region(Jerabkova et al.2019).Using the Gaia data,there are many studies focused on the tidal tails of nearby old clusters:Röser&Schilbach(2019)searched the tidal tail of Praesepe (NGC 2632);Zhang et al.(2020)examine the tidal structure of Blanco 1;the extended tidal structure of the Hyades was reported by two works(Meingast&Alves 2019;Röser et al.2019).By exploring the extended region of star clusters,we now know that in addition to the core with an approximately symmetric distribution,there are lowdensity elongated or asymmetric structures in the outskirts of many star clusters.These discoveries are helpful for us to better understand the influence of the formation environment on stars and clusters,as well as initial conditions of cluster dynamic evolution.

COIN-Gaia 13 is a newly discovered young open cluster identified by Gaia DR2 data (Cantat-Gaudin et al.2019b,hereafter CG19).We attempt to explore the spatial structure up to the outmost reach of this nearby cluster (500 pc) and investigate its dynamic evolution.In this paper,we search for members of COIN-Gaia 13 in a large region using the latest Gaia Early Data Release 3 (EDR3) to study the properties of the cluster in more detail.In Section 2,we mainly introduce our selection criteria and member determination methods.In Section 3,we provide the identification results of member stars and the distribution properties of member stars in a different parameter space.Finally,in Section 4,we briefly summarize and discuss our results.

2.Data and Method

2.1.Data Process

As the early stage of Gaia’s third data release,Gaia EDR3(Gaia Collaboration et al.2021) provides us astrometric and photometric parameters of 1.5 billion sources with higher accuracy than Gaia DR2.In this paper,we use the Python astroquery package (Astropy Collaboration et al.2013,2018)to retrieve the Gaia EDR3 data source samples we need from the Gaia science archive.In the cluster catalog provided by Cantat-Gaudin et al.(2019b),the Galactic coordinates (l,b) of COIN-Gaia 13 are (167°.459,4°.776),the average proper motion (μα,μδ) is (-3.83,-1.66) mas yr-1and the average parallax is 1.93 mas.Based on the previous research (Kounkel&Covey 2019),it is noted that our cluster is mainly distributed along the Galactic plane (the distribution along Galactic longitude is not symmetrical about the center),so we only include stars with Galactic longitude coordinate between 135°and 185° and Galactic latitude between -2° and 12° as the candidate sources,which is large enough to cover the whole area of the cluster.Then,in order to ensure the reliability of astrometric data,we select stars whose G-band magnitude is brighter than 18 mag and the renormalized unit weight error(ruwe) is less than 1.4.We further limit the parallax of stars between 1.6 mas and 2.4 mas to exclude field stars in the background.In order to better apply the clustering algorithm in the kinematic space,we convert the proper motion angular velocity (mas yr-1) into tangential velocity (km s-1) using the formula V=4.75 μd,where μ is the proper motion and d is the distance (as the inverse of parallax),and further subtract the average tangential velocity which is provided by Cantat-Gaudin et al.(2019b).In Figure 1,we present the relative distribution of tangential velocity of candidate sources,and notice that an obvious over-density pattern extends along the xaxis.Considering these co-moving stars in the over-density region are more likely to be member stars,we extract a window between-6 to+4 km s-1in Δvland-2 to+2 km s-1in Δvbto select candidate sources.After these selection criteria are satisfied,we finally obtain a total of 3207 candidates (labeled sample 1) to perform the membership identification.

Figure 1.Velocity distribution of the stars in the tangential velocity plane(Δvl,Δvb).The zero-point is the average motion value of COIN-Gaia 13 in CG19.The box indicates the selection window that might belong to the cluster.

2.2.Method

In this paper,we mainly utilize the pyUPMASK algorithm(Pera et al.2021) to perform the membership determination.The pyUPMASK algorithm is an open source software package compiled by Python language following the development principle of UPMASK (Krone-Martins &Moitinho 2014),which is the short name of Unsupervised Photometric Membership Assignment in Stellar Clusters.It is a member star determination method that was first developed to process photometric data,however,it was later widely used in the determination of member stars based on astrometric parameters(Cantat-Gaudin et al.2018;Cantat-Gaudin &Anders 2020;Cantat-Gaudin et al.2020).In order to obtain the membership probability of cluster members more effectively and quickly,pyUPMASK improves the clustering method,member determination step and membership probability assignment method in its determination process.Furthermore,in case of a situation with serious field star contamination,a further field star excluding process in the spatial component is added after the member determination process.These improvements not only make the pyUPMASK algorithm more robust for cluster membership determination,but also greatly reduce the computing time and make it more effective for processing a large number of sources.

The key assumptions of UPMASK include:(I) cluster members have similar properties (for example,they have a clustering distribution both in proper motion and parallax);(II)their spatial distribution is more crowded than a random uniform distribution.The main steps of this method include:(I)Use the k-means clustering method to determine the clumps in three-dimensional astrometric space(μl,μb,ϖ);(II)According to the estimation results of kernel density,determine whether these small clumps have the clustering distribution in all parameter space (compared with a random uniform distribution).If so,it is preliminarily determined that the star in its small clump is a cluster member with similar spatial and kinematic properties.

We apply the pyUPMASK algorithm to the preliminarily selected sample sources,which are labeled as sample 1 (see more details in Section 2.1),and then obtain the cluster member probability of each star.In the process of determining membership probabilities,this algorithm will mark the samples as members or non-members.The pyUPMASK mainly adopts a k-means clustering algorithm,which is a method of data clustering according to the distance from each center point.In order to reduce the inconsistency of clustering results due to the randomness of the initial center point assignment,pyUPMASK uses the same input data to perform the multiple allocation and decision process.Finally,each star has multiple decision results,and the member probability is the frequency of stars marked as members (P=n/N,where N is the repeating times,and n is the number of times when a single star is determined as a member).According to the probability function adopted by pyUPMASK,field stars are often assigned smaller member probability values.We investigate the properties of stars with P <0.5 and found that they present a uniform distribution in position space and have no obvious clumping structure in proper motion space.On the other hand,for stars with P >0.5,the clear main sequence distribution in the CMD (Figure 5)illustrates the low contamination rate of our member candidates.The criterion probability of 0.5 is also consistent with the criteria of other works (e.g.,Cantat-Gaudin et al.2019a;Yontan et al.2019;Akbulut et al.2021).Therefore,we select stars whose membership probabilities are greater than 0.5 as cluster members.Finally,a total of 478 candidate members of COIN-Gaia 13 was obtained.

It is noted that the contamination and completeness of the sample of cluster members which were identified by the pyUPMASK algorithm have good performance.In order to estimate these two parameters with Gaia data,we simulated ten mock samples composed of 1200 member stars (similar to the M67 parameter distribution) and 1200 background field stars(with random and uniform distribution in the same phase space as members),and then utilize pyUPMASK to perform the membership determination.The results of ten mock samples show that the average completeness of the cluster is about 97%,and the average contamination rate is 4%.Although the completeness rate slightly decreases with the magnitude increasing,the rate can go to 95% even when G=18 mag.

3.Results and Discussion

3.1.Cluster Members

Our research is a further detailed study of COIN-Gaia 13 reported by CG19.The spatial distribution of sample 1 with its membership probability is displayed in Figure 2,in which purple dots represent member stars with high probabilities and take the form of an elongated distribution.In Figure 3,we present the histogram of membership probability of all sources determined by pyUPMASK.It is noted that stars with low membership probability are more likely to be field stars,so we only select stars with P >0.5 as member stars to ensure that the spatial structure traced by member stars is more reliable.Although the criterion of membership probability we selected is 0.5,the membership probability of most member stars in our sample is greater than 0.8,which also means that the field star contamination in our sample is very small.Since we select an extended large region to perform the membership identification,there are more member candidates in our sample (478 members) than in CG19 (171 members with P >0.5).

3.2.Spatial Distribution

The cluster center is defined as the location of the highest density area of cluster members.In order to obtain the maximum central density of star clusters,we use the kernel density estimation function to estimate the distribution of members in the cluster region.After the calculation of twodimensional Gaussian kernel density,the probability density distribution of star clusters is shown in Figure 2.The center coordinates(l=167°.645,b=4°.877)of COIN-Gaia 13,which represent the highest density location of the cluster,are similar to the reference values (l=167°.459,b=4°.776) in CG19.In Figure 2,we use the red cross to represent the cluster center.The discovery of an elongated tail structure is our major result.Figure 2 affirms that the extended direction of this tail is along Galactic longitude.Comparing the elongated structure along the line of sight,the extended structure along the projection direction is more likely to be a real structure.This is because the position precision is much higher than the parallax precision,even in the Gaia data.

Figure 2.Spatial distribution of sample 1 in Galactic coordinates.It is noted that a large number of member stars is located outside of the cluster’s symmetrical core region,which shows an extended elongated structure along the Galactic meridian direction.The red cross represents the cluster center with coordinates(l=167°.645,b=4°.877).

Figure 3.Histogram of membership probability of COIN-Gaia 13.The distribution shows that the probability determined by pyUPMASK can distinguish the member stars and field stars well.

Furthermore,we calculate the Galactocentric coordinates(X,Y,Z) for all determined member stars.The coordinate system takes the Galactic center as the coordinate origin,the direction from the Sun to the Galactic center is the positive direction of the X-axis,the Y-axis points to the rotation direction of the Galactic disk and the Z-axis points to the North Galactic Pole.The solar location in Galactocentric coordinates is adopted as (-8122,0,20.8) pc(Katz et al.2019).Figure 4 displays the relative spatial distribution after correcting the position coordinates of the cluster center.The corresponding position center of COIN-Gaia 13 is (Xc,Yc,Zc)=(-8621.0,+109.3,+65.3) pc.The major elongated structure in Galactocentric coordinates is along the Y-axis,which is approximately perpendicular to the line of sight direction.Since the spatial distribution of members is based on the astrometric data with high precision,the extended structure in the Y direction has a high probability to be a real structure instead of a spurious structure which is due to observational errors.Considering the average distance of COIN-Gaia 13 is 513 pc (see the next subsection),the physical scale of the elongated structure in the Y direction is about 270 pc.For comparison,the distribution lengths of cluster members in the X and Z directions are about 130 pc and 50 pc respectively.This also demonstrates that the cluster is mainly distributed in the Galactic plane,while the dispersion in the Z direction is very small.

3.3.Isochrone Fitting

The color–magnitude diagram(CMD)is an important tool to estimate the fundamental parameters of star clusters.After fitting the observed color–magnitude distribution of member stars by a theoretical isochrone,we can obtain important cluster parameters along with assumed age,distance modulus and reddening.Figure 5 shows the cluster member distribution in the CMD.For comparison,we also plot the member candidate distribution provided by CG19 with orange dots.It is noted that our membership determination provides more reliable results than the previous study.

Figure 4.Relative spatial distribution of member candidates after correcting the position coordinates of the cluster center.The corresponding position center of COINGaia 13 is(Xc,Yc,Zc)=(-8621.0,+109.3,+65.3)pc.We use a yellow line to represent the line of sight direction.The major elongated structure is approximately perpendicular to the line of sight direction,which further confirms the authenticity of this structure.In each spatial projection panel,we use colors to represent relative velocities,the direction of which is along the major motion direction,and the mean projected velocity of core members is its zero-point.The black arrow signifies the major motion direction.

Figure 5.CMD of member candidates in COIN-Gaia 13.Blue dots and orange dots represent 478 member candidates in this work and 311 members in CG19,respectively.PARSEC isochrones of 150,250 and 350 Myr with solar metallicity and the same extinction are over-plotted.The PARSEC isochrone with the age of 250 Myr provides the best fitting results.

In our work,we use the theoretical isochrone from PARSEC(Bressan et al.2012;Chen et al.2014;Marigo et al.2017) to perform the CMD fitting through visual inspection.Since there is no abundance parameter of COIN-Gaia 13,we adopt the solar metallicity [Z/X]⊙=0.0207 to perform the isochrone fitting.The best-fitting result is featured in Figure 5,in which the age is 250±100 Myr (logt=8.4),the distance modulus is 8.9 mag and the extinction in G-band is 0.32 mag.The derived distance of COIN-Gaia 13 by isochrone fitting is 510 pc.We also derived the average parallax of cluster members plx=1.95±0.08 mas,which corresponds to the distance of 513 pc.

Figure 6.Histogram of line of sight velocity distribution of 66 members.The average line of sight velocity of the cluster is -16.9±4.0 km s-1.As a comparison,the dispersion of non-member stars in the background field is 18.3 km s-1.

3.4.Kinematic Properties

Cross-matching the 460 cluster members with LAMOST Data Release 8 (DR8),LAMOST-LRS data (Zhao et al.2012)provides us with the measured line of sight velocities of 82 member stars,of which 66 have a measurement error of less than 8 km s-1.Although the number of radial velocity values is relatively small,there is still an obvious peak in the histogram distribution of the line of sight velocity(Figure 6).By fitting a Gaussian distribution,the average line of sight velocity is-16.9 km s-1,with a dispersion of 4.0 km s-1.

Figure 7.Distribution of UVW components of motion for all members.The asymmetric pattern in the velocity space (U-V panel) happens to correspond to the extended structure in the spatial distribution(X-Y panel),clearly indicating the extended structure is the result of cluster dynamic evolution.In addition,we use colors to represent the relative distance of members from the cluster center and note that the velocity distribution of members has an obvious correlation with the distance,which also indicates that the elongated structure is not formed in the original configuration.

Due to the insufficient line of sight velocity of cluster members provided by LAMOST,we assign each member star a line of sight velocity,and then calculate their (U,V,W) space velocities.We note that the extended spatial structure over±20 degrees on the sky will lead to an offset in line of sight velocity from the core region to the outer region.We then assign the line of sight velocity of each star as Vr=Vcosθ,where V is the mean line of sight velocity(-16.9 km s-1)and θ is the position angle from the cluster center to the star.The (U,V,W) velocity distribution of members is displayed in Figure 7,while the average velocity of (U,V,W)=(+28.86,+243.83,-3.82) km s-1.It is noted that the cluster shows a correlation in the U-V and U-W velocity diagrams,which happens to correspond to the extended structure in the spatial distribution.Furthermore,we use color to represent the relative distance between the cluster center to the three-dimensional location of members,and note that the velocity of U/V has a strong correlation with the relative distance:the farther away from the center,the greater the difference of the U/V velocity.In addition,in Figure 4,we also use colors to represent relative velocities,the direction of which is along the major motion direction,and the mean projected velocity of core members is its zero-point.It is obvious that the velocity of cluster members has a significant correlation with the spatial distribution,especially in the Y direction,which also indicates that the elongated structure is not initially formed with the cluster.This is because if the elongated structure is primordial,then all member stars should share similar velocity,independent of the spatial location.In contrast,if member stars originated from the cluster center,the correlation between velocity and position is a result of natural evolution:the higher the velocity of stars,the more distant the spread location.

The evolved elongated structure of star clusters may be caused by the tidal force of surrounding gravity sources (like giant molecular clouds) or differential rotation in the Galactic disk.We further study the spatial distribution and velocity distribution of member stars compared with the Galactic spiral arm.The location of spiral arms is obtained by Reid et al.(2014),which mainly uses very long baseline interferometry(VLBI)observation of maser sources to trace the arm structure distribution.The distance of COIN-Gaia 13 is 513 pc,which is located in the nearby region of the Local Arm.Figure 8 presents the relative position distribution between COIN-Gaia 13 and the nearby spiral arms (left panel),and the relative velocity distribution (with the mean velocity of the cluster center as zero-point) in the X-Y Galactocentric coordinate diagram (middle and right panels).It is noted that the spatial distribution and the relative velocity offset(especially in the U direction component) of the elongated structure are almost along the Local Arm,considering that the relative velocity offset is on the order of 1~km s-1,which is enough to stretch the cluster to more than 200 pc in a timescale of 200 Myr.Therefore,we suggest that the elongated structure in COINGaia 13 is more likely to be caused by the differential rotation at different positions relative to the Galactic center.

Figure 8.Spatial distribution of COIN-Gaia 13 in the Galactocentric X-Y plane.The left panel depicts the relative positional distribution between the cluster and nearby spiral arms,while red stars represent our solar location.In the middle and right panels,the relative velocities of member stars in U and V directions(with the mean velocity of the cluster center as zero-point)are represented by colors,respectively.It would appear that the relative velocity has an obvious correlation with the Local Arm direction both in the U and V velocity components,which further suggests that the elongated structure in COIN-Gaia 13 is more likely to be caused by the differential rotation at different positions relative to the Galactic center.

Figure 9.Diagram of mass function distribution(left panel)and cumulative fraction as a function of radial distance from cluster center(right panel).The dashed line in the left panel signifies a power-law distribution with slope α=-2.25.In the right panel,the similar cumulative mass distribution between the high mass group and the low mass group shows that there is no obvious mass segregation in the cluster COIN-Gaia 13,which indicates that the extended structure is unlikely to be formed by the tidal force of surrounding gravity sources.

3.5.Mass Function

The open cluster contains hundreds of stars with the same age and chemical composition but different masses.In order to study the mass distribution of member stars,an efficient method is to calculate the statistics of the mass function.According to the evaluation results of completeness by pyUPMASK (see Section 2.2),the completeness decreases slowly with the increase of magnitude,which indicates that the slope of the mass function estimated by the star count is reliable since the influence of completeness effect on the determination of mass function is not significant.We first perform the isochrone fitting of all member stars,and then estimate their stellar mass using the PARSEC isochrone with 250 Myr.Finally,we obtain the present distribution of mass function(PDMF) of the cluster COIN-Gaia 13,which is displayed in Figure 9.The dotted line in the left panel of Figure 9 represents the fitting of the power-law function with slope α=-2.25±0.14.We only include member stars with G-band magnitude brighter than 18 mag (mass greater than 0.5 M⊙),and the total mass of the cluster is 439 M⊙.However,considering the incomplete membership determination results and the exclusion of binary stars,we note that the mass function is still underestimated.

The tidal radius of the cluster can be estimated according to the cluster total mass,which is given by Pinfield et al.(1998)with the formula

To speculate on the possible origin of the extended structure,we study the mass segregation of cluster members.In the dynamical evolution of a cluster,the higher mass stars would give up their energy to the lower mass stars and then drop down to the cluster core region (Zhao et al.1996).If the cluster is located in the gradient of gravitational potential caused by a nearby gravity source (such as the giant molecular cloud),stars in the outer region (more likely to be low mass stars) would obtain more energy and move to the more distant orbit.This means that if there is a gravity source close to the cluster,the mass segregation effect will be more significant.As demonstrated in the right panel of Figure 9,the cumulative mass distribution as a function of radial distance in high mass and low mass groups displays a similar distribution and does not increase significantly from the inside to the outside.It appears that there is no obvious mass segregation in the cluster COIN-Gaia 13 and further indicates that the extended structure is unlikely to be formed by the tidal force of the nearby gravity source.

4.Summary

Using the five-dimensional data provided by Gaia EDR3(spatial coordinates,proper motions and parallax),we studied COIN-Gaia 13 in detail.For the samples located in a large extended spatial region,we use the membership assignment algorithm pyUPMASK to assign membership probability to each star.We selected stars with membership probability greater than 0.5 as reliable results and finally obtained 478 cluster member candidates of COIN-Gaia 13.

We derived the fundamental parameters of the cluster COINGaia 13,including the Galactic coordinates of the cluster center location (167°.645,4°.837),the average parallax 1.95 mas,the average proper motion (μl,μb)=(-0.696,-4.184) mas yr-1and the average line of sight velocity-16.9±4.0 km s-1.After converting the observed coordinates to Galactocentric coordinates,the spatial position is (Xc,Yc,Zc)=(-8621.0,+109.3,+65.3) pc and the spatial motion is (Uc,Vc,Wc)=(+28.86,+243.83,-3.82) km s-1.By fitting the CMD distribution of high probability members with a PARSEC isochrone,the cluster age and total mass are estimated as 250 Myr and 439 M⊙respectively.

The major result of our work is the discovery of an extended structure of the cluster COIN-Gaia 13,which is a elongated structure with length about 270 pc.Further analysis indicates that the extended structure is more likely to be caused by differential rotation along with the Local Arm direction.

We are very grateful to the referee for helpful suggestions which improved the paper significantly.This work is supported by National Key R&D Program of China (No.2019YFA0405501)and the science research grants from the China Manned Space Project (No.CMS-CSST-2021-A08).Li Chen acknowledges support from the National Natural Science Foundation of China(NSFC,Grant Nos.12090040 and 12090042).Jing Zhong would like to acknowledge the NSFC (Grant No.12073060),and the Youth Innovation Promotion Association CAS.Jing Li would like to acknowledge the Innovation Team Funds of China West Normal University (Grant No.KCXTD2022-6) and the Sichuan Youth Science and Technology Innovation Research Team(21CXTD0038).

This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia),processed by the Gaia Data Processing and Analysis Consortium (DPAC,https://www.cosmos.esa.int/web/gaia/dpac/consortium).Funding for the DPAC has been provided by national institutions,in particular the institutions participating in the Gaia Multilateral Agreement.

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