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The discovery of multiple overlapping components needed for an adequate representation of the data in the context of an ellipsoidal model of the galactic potential. It also introduces the concept of stellar populations and their connection to the interstellar medium in galaxies. evidence for a smooth gradient from the center to the outer regions of the galaxy and mentions various studies and reviews on the subject.
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A&A manuscript no. (will b e inserted by hand later) Your thesaurus co des are: 10(03.13.6; 04.19.1; 10.08.1; 10.11.1; 10.19.2; 10.19.3)
D.K.Ojha^1 , O.Bienayme^2 , A.C.Robin^2 ;^3 , M.Creze^2 , and V.Mohan^4 (^1) Inter-University Centre for Astronomy and Astrophysics, Post Bag 4, Ganeshkhind, Pune 411 007, India (^2) Observatoire de Strasb ourg, CNRS URA 1280, 11 rue de l'Universite, F-67000 Strasb ourg, France (^3) Observatoire de Besancon, 41 bis, Av. de l'Observatoire, BP 1615, F-25010 Besancon Cedex, France (^4) U. P. State Observatory, Manora Peak 263 129, Nainital, India
Received xxxx, 1995, accepted xxxx, 1995
Abstract. We have carried out a sample survey in UBVR photometry and prop er motions in di erent directions in the Galaxy, as part of an investigation of galactic struc- ture and evolution. Three elds in the direction of galactic
have b een surveyed. Using our photographic photometry, we determine photometric distances for a sub-sample of stars in the color range 0.3(B-V)0.9. The stellar space velo cities (U, V and W) are derived directly from the mea- sured prop er motions and distances. Using our new data together with wide-area surveys in other elds available to date, we discuss the radial and ver- tical structure of the Galaxy. We have derived the density laws for stars as a function of distance from the galactic plane for each absolute magnitude interval. The density laws for stars with MV 3.5 follow a sum of two exp o- nentials with scale heights of 260 50 p c (thin disk) and 760 50 p c, resp ectively. This second exp onential corre-
relative to the thin disk. The scale lengths for these two p opulations are resp ectively 2.30.6 kp c and 3 1 kp c. The kinematical distribution of F and G{typ e stars have b een prob ed to distances up to 3.5 kp c ab ove the galactic plane. A new value for the solar motion has b een determined from mo derately distant stars (1<z< 2 kp c). It is consistent with lo cal determinations and implies that there is no large motion of the LSR relative to the mean motion of stars at 1-2 kp c ab ove the galactic plane. The rotational velo city curve is found at in the solar neigh- b orho o d. The radial gradient in velo city disp ersions has b een determined for the thin disk p opulation. The thick disk app ears as a kinematically distinct p opulation from the thin disk and shows no vertical gradient. A multivari- ate discriminant analysis is also used to distinguish the thick disk from the thin disk and to estimate its asym-
Send o print requests to : D.K.Ojha (dko@iucaa.ernet.in)
metric drift. It is found to b e 53 10 km/s, indep endent of the galactic radius. Of the many mo dels that have b een prop osed for the origin of the thick disk, the evidence at present seems to favour a mo del in which thick disk formed through the rapid dynamical heating of an early disk by satellite accretion into the disk.
Key words: Galaxy: Kinematics and dynamics { Galaxy: Stellar content { Galaxy: structure { Metho ds: statistical { Surveys
The concept of stellar p opulations has played a critical role in the development of mo dern studies of stellar evo- lution, galactic structure and galactic evolution. To un- derstand fully the stellar p opulations and their di erences would take us a long way toward a complete theory of galactic structure and evolution. Yet, there are many dif- cult questions that have b een very unyielding to nal solutions, such as, how can we de ne the p opulations in a way that is physically meaningful, how many discrete p opulations really are there, and how can we unambigu- ously separate the stellar constituents of the p opulations for detailed analyses? It was only with the discovery of the asymmetric drift of high-velo city stars (Stromb erg 1924; Oort 1922, 1926), it b ecame clear that multiple overlapping comp onents would b e needed if an ellipsoidal mo del were to provide an adequate representation of the data. After the identi ca- tion of the galactic centre (Shapley 1918), and the discov- ery of the di erential rotation of the galactic disk (Oort 1922, 1927; Lindblad 1925, 1927, 1959; Stromb erg 1924), the multicomp onent concept was taken to the limit with Lindblad's 1927 (see also 1959) prop osed division of the
Galaxy \into an in nite numb er of `sub-systems' of vary- ing mean sp eed of rotation". Stromb erg's (1924) compre- hensive analysis of the available data on stellar distances, prop er motions, and radial velo cities in the mid-1920s was among the rst to show the di erences in the velo city el- lipsoids of various stellar groups. His kinematic separation into groups was the b eginning of the classi cation of the galactic comp onents that eventually led to the p opulation concept. The pioneering work on p opulations was carried out by Baade during the 1940's and 1950's using mostly ob- servations of galaxies in the Lo cal Group. In 1944, Baade intro duced the idea of two basic stellar p opulations (Baade 1944, 1958a). Unlike the kinematic comp onents discussed previously by Stromb erg (1924) and Oort (1922, 1926), Baade's two p opulations were de ned according to the morphology of the resp ective color-magnitude diagrams. Population I stars are stars with photometric character- istics similar to those found in op en clusters and stel- lar asso ciations (e.g. luminous early-typ e stars, classical Cepheids), and Population I I stars are similar to the stars found in globular clusters (e.g. RR Lyrae stars, sub dwarfs, Population I I Cepheids). At the conclusion of the 1957 Vatican conference on stellar p opulations, ve stellar p opulations were advo cated : extreme p opulation I, older p opulation I, disk p opu- lation, intermediate p opulation I I, and halo p opulation I I. Excellent reviews on the sub ject have b een written by King (1971), van den Bergh (1975), Mould (1982), Sandage (1986) and others. Throughout the last decade there has b een further de- bate over the structure and history of our Galaxy. One of the main controversies concerns the existence of a thick disk, i.e., a comp onent with characteristics intermediate to those of the thin disk and halo p opulations, and whether or not three comp onents (rather than two, ve or more comp onents) are needed to account for star counts, prop er motion distributions and other observations. There are now strong evidences that our Galaxy is not simply de- scrib ed by the traditional disk and a halo, but that there must exist a third comp onent, a thick disk, which is dom- inated over distances on the order of kiloparsecs ab ove the plane, and intermediate in kinematics and metallic- ity b etween the disk and halo p opulations. The idea of \third comp onent" has apparently b een around in one form or another for decades, at least since the time of the 1957 Vatican conference (see Blaauw 1965). The con- cept of a thick disk came into existence after Gilmore & Reid (1983) showed need for it through their inability to t two-comp onent mo dels to starcount data. Since Gilmore & Reid (1983), other starcount surveys have reached sim- ilar conclusions (Yoshii et al. 1987; Sandage 1987; Fenkart 1988). Prop onents of a three-comp onent mo del have raised questions ab out the nature of the thick disk, in particu- lar, whether it is kinematically discrete (Wyse & Gilmore 1986; Sandage & Fouts 1987; Gilmore, Wyse & Kuijken
1989; Soubiran 1993ab) and/or chemically discrete (Car- ney et al. 1989; Carney, Latham & Laird 1990). Ma jewski (1992) have shown that an intermediate comp onent must exist in order to account for a bimo dal distribution in b oth the V-velo city and UV-excess up to 5.5 kp c ab ove the galactic plane, far b eyond the region dominated by the traditional thin disk of scale height 260 p c or less. The p opulation of \disk" globular clusters and the appar- ent excess of intermediate - metallicity stars with vertical scale height hz 1 kp c, represent also the evidence for a thick disk. (Baade 1958b; Morgan 1959; Zinn 1985; Ar- mandro & Zinn 1988). It should b e stressed here that starcount analysis alone do not warrant the reality of thick disk stars as a third ma- jor comp onent of the Galaxy, b ecause adding new comp o- nent(s) in mo dels always gives a sup erior t to the data. In fact, current interpretations of thick disk stars have b een ranging b etween a separate comp onent (Gilmore & Wyse 1985; Bienayme et al. 1990, 1992) and a high-velo city tail of the old disk (Norris 1987ab; see also Norris & Green 1989). This third discrete p opulation could b e the signa- ture of a merger event early in the Galaxy's history o c- curing shortly after the disk had formed (Carney et al. 1989). In fact, the arguments regarding the existence of this third p opulation b ear on problems of galaxy forma- tion and evolution. For example, \the G dwarf problem", that the lo cal numb er of metal-p o or long-lived stars is to o small to b e consistent with simple mo dels of chemical evolution, may b e solved straightforwardly by use of an intermediate-metallicity \reservoir" disp ersed ab ove and b elow the plane (Gilmore & Wyse 1986). Studies of stellar p opulations often take as their start- ing p oint large-scale surveys, with selection criteria involv- ing one or more observable variables. The de nition of the survey has to b e de ned in order to ensure a go o d retrieval of the p opulation parameters we lo ok for. The physical lo- cation of the surveys is arguably the most imp ortant con- straint. Obviously several survey lo cations need to b e cho- sen in order to vary the mixing prop ortions of the various p opulations and to determine the scale heights, lengths and relative densities. On the other hand, the survey must prob e to great distances so that the regions dominated by each of the Galaxy's p opulations are within the limits of the survey. For example it is necessary to reach V magni- tude ab out 19 in order to reach domains dominated solely by the halo p opulations. Finally, in order to b e con dent that the data are free of systematic bias, it must b e com- plete, i.e. all stars within a region of the sky must b e surveyed without any selection criteria which b ear on the problems b eing studied. With these p oints in mind, we have carried out a sam- ple survey in UBVR photometry and prop er motions in 3 directions in the Galaxy. The 3 elds chosen are in the
and MV = 0 0 : 6 < 0 The UV excess - metallicity relation was studied by Carney (1979), and can b e approximated as :
So we obtain a MV correction that dep ends on z. The absolute magnitudes calculated from the MV versus B-V relation was therefore corrected by these amounts. In practice, a new distance is calculated, a revised MV correction applied, and the pro cedure was rep eated to con- vergence.
2.2. Errors in distance measurements
A variety of systematic errors a ect the determination of stellar distances. The rst source of errors could b e from B and V magnitudes. This a ects the distances of individ- ual stars, but should not a ect mean distance of a sample of stars, since the photometric errors should b e randomly distributed. More imp ortant are the systematic errors that could b e pro duced by the contamination by subgiant, gi- ant and binary stars in our samples.
2.2.1. Subgiant contamination
We used the main-sequence color-absolute magnitude re- lation to derive the distances. For the distance determi- nation, it is rstly assumed that all stars are unevolved. This is certainly not applicable to all stars in our survey, but without sp ectroscopy or photometric gravity indica- tors there is no a priori way to separate main-sequence dwarfs from evolved subgiant stars at the main-sequence turno. In our selection of subsamples of F and G{typ e
giant stars should b e small b ecause at the ab ove absolute magnitude and color intervals, distances and velo cities im- plied for red giant stars are improbable. However contam-
estimate of distance. We have made a selection by color, by raising the
gion where subgiant stars are exp ected to contribute sub- stantially and we can greatly reduce their contamination. Only drawback of this selection is that we loss the farthest distance and most of the halo stars. The Besancon mo del of p opulation synthesis (Robin & Creze 1986; Bienayme et al. 1987) has b een used to check the prop ortion of sub- giants in our subsample of stars. If we supp ose that there
exists an intermediate-metallicity p opulation of stars with
the thin disk, then we would exp ect 30% of the intermedi-
disk subgiants in our survey is minimal, since the total numb er of stars in the appropriate magnitude and color range is ab out a 10%. For the halo, the distribution is fairly broad. We would exp ect the largest contribution from halo subgiants at
1983). Recently, a sp ectroscopic observations have b een p erformed on a sample of stars in a eld of 9.6 square
by Perrin et al. (1995). The most striking result of these observations is the very low prop ortion of Population I I giants in this direction, ab out 2 times less than the pre- dictions of the current galactic mo dels. Similar result has b een found in other intermediate latitude elds by di er- ent authors (Friel 1987, Morrison 1993). It is p ossible that some ranges of (V, MV ) are not seriously contaminated. For example, if in the range
their main sequence values then the mis-identi ed evolved stars do not come from a much larger volume (Tritton & Morton 1984). Also at distances where the disk density dominates over the spheroid, subgiant or giant contami- nation should not b e a problem.
2.2.2. Binary contamination
Another systematic error a ecting the distance determi- nation is the problem of unresolved binaries. Every star has b een treated as if it were a single ob ject, but this is certainly not the case for a signi cant p ortion of the sample \but unknown". Only binaries with comp onents of approximately equal mass are problematical. In this case, the distance error will b e 40%, while for slightly un- equal mass stars, there is a concern for color errors in the primary (a 10% error in color results in 0.6 mag er- ror in estimated absolute magnitude). The binary fraction of Population I stars is supp osed to b e relatively large- approximately 55%. The thick disk binary fraction is es- sentially unknown, but it is likely to b e somewhere b e- tween that of the thin disk and the halo. In summary, sys- tematic errors in the distance determination due to the presence of binaries are probably most severe for young disk stars. Clearly this problem would b e solved with a systematic sp ectroscopic survey for the sample of stars at mo derately high resolution to identify sp ectroscopic bina- ries. Recently, such a programme has b een initiated by Soubiran (1994) for subsamples of stars in our surveys.
2.2.3. Photometric errors
The ma jor factors contributing to distance errors are the
To roughly estimate the contribution from all of these, it is necessary to go back to the observable quantities, as
with MV. From our in situ surveys, we exp ect the mean
From these values, our estimate of error to b e ab out 20 % in distance seems to b e realistic up to z = 3 kp c. However,
there may b e an error in our distances as large as 30 %.
The cardinal comp onents of the stellar space velo city (in km/s), U, V and W (where U is de ned as p ositive in the direction of the Galactic anticentre, V is p ositive in the direction of Galactic rotation, and W is p ositive in the direction of NGP) were derived from prop er motions, l
three elds as follows (Murray 1983) :
4 : 74 d l 4 : 74 d b Vr
The matrix RG for each eld is as follows :
The unknown radial velo city contributions (Vr ) to UVW are as follows and are neglected in the following study :
GAC1,2 : UVr = 0.661 Vr ; VVr = 0.147 Vr ; WVr = 0.738 Vr
GC : UVr = -0.681 Vr ; VVr = 0.032 Vr ; WVr = 0.731 Vr
GAR : UVr = -0.093 Vr ; VVr = -0.680 Vr ; WVr = 0.728 Vr
It is clear from the ab ove 3 matrices that we are mea- suring the velo cities (U-W,V) in the direction of GAC1,2,
(U+W,V) in the direction of GC and (U,V-W) in the di- rection of GAR eld. We should p oint out here that the
and V velo cities. For GC or GAC1,2 eld :
and we de ne :
We are interested in deriving the structural parameters (e.g. scale height and scale length) of the thin and thick disk p opulations using our data sets at intermediate lati- tude. For this we have calculated the stellar space density as a function of b oth absolute magnitude and distance from the Galactic plane. The calculation is straightfor- ward : The space density of total stars (Population I + In- termediate Population + Population I I) of the luminosity group (M 1 < M < M 2 ) falling into the partial volume
N 1 ; 2 b eing the total numb er of stars of the lumi-
4.1. Density laws
The space density distribution can b e approximated by a double exp onential :
(R; z ) = (R 0 )exp
hR
exp
hz
tance from the galactic centre. (R 0 ) is the solar \neigh- b orho o d" normalisation. R is the galacto centric distance pro jected up on the galactic plane and z is the height ab ove the galactic plane. hz and hR are the scale height and scale length, resp ectively. The density can b e expressed as a function of the dis- tance d along the line of sight for a eld of galactic co or- dinates (l ,b) with,
Table 1. The b est tted structural parameters of the thin and thick disk stars with 3.5MV 5 derived from the two data sets (GAC1,2 and GC)
Field Thin Disk Thick Disk Thin Disk : Thick Disk 3.5MV 5 hz (p c) hz (p c) density ratio GAC1,2 336 807 100 : 7. GC 226 674 100 : 9.
Table 2. The b est tted structural parameters of the thin and thick disk stars with 5 MV 6 derived from the two data sets (GAC1,2 and GC)
Field Thin Disk Thick Disk Thin Disk : Thick Disk 5 MV 6 hz (p c) hz (p c) density ratio GAC1,2 267 849 100 : 8. GC 217 726 100 : 9.
certainty in the determination of density laws, we built a more consistent mo del. We t simultaneously data in each eld with the same values of parameters (exp ect for the thin disk scale length that has not b een tted). For each disk, we have used the same lo cal normalization of density indep endently of directions. In this case we may solve b oth parameters (hR & hz ) together. The observed density is tted by the sum of two exp onentials shown in gure 3. The same pro cedure (describ ed in the previous section) was applied to derive the b est tted structural parameters. The results are shown in table 3.
4.3. Discussion
The b est value for the scale height of thin disk is hz = 260 50 p c. In contrast with the generally adopted value around 325 p c, we nd a lower value for the scale height. This low value is in agreement with the scale height of 249 p c tted by Kuijken & Gilmore (1989) from a K dwarf photometric parallax study in the direction of the South Galactic Pole. Haywo o d (1994, 1995) showed that the overall vertical density pro le of the galactic disk is closed to an exp onential with scale height hz ' 250 p c. Ng et al. (1995) recent determination gives hz = 250 p c for the scale height of thin disk based on a sample of stars toward the galactic centre. The thick disk characteristics are, hz = 760 50
thin disk. Robin et al. (1995) recent determination gives hz =760 50 p c, with a lo cal density of 5.61.0 % rela- tive to the thin disk. This last determination has b een done with available B, V photometric data taken quite extensively from literature. They use a di erent approach to analyse data using a synthetic mo del repro ducing ob- servable quantities (magnitude and color counts). This
Fig. 3. The density distribution for stars (3.5MV 5) in three elds (GAC1,2, GC and GAR) as a function of distance ab ove the galactic plane. The continuum line represents the sum of two exp onentials with scale height 260 p c and 760 p c and cor- resp onding to the thin disk and thick disk, resp ectively
metho d is exp ected to avoid systematic bias that can b e encountered in inversing the pro cess. Two p oints can ex- plain the small di erences b etween Robin et al. (1995) and present determinations. First, the density law used by Robin et al. (1995) is slightly di erent from our own. They use a mo di ed exp onential with a null derivative at z = 0, in order to conform to the p otential. Our density law is strictly exp onential thus the lo cal density deduced from the counts at z> 1 kp c is slightly overestimated in our case
Table 3. The b est tted structural parameters for the thin disk and thick disk stars with 3.5MV 5 derived from the three data sets (GAC1,2, GC and GAR). The scale length of the thin disk was not well determined due to p o or statistics of the data in the nearer distance bins (z< 800 p c)
Thin Disk Thick Disk Thin Disk : Thick Disk hz (p c) hz (p c) hR (p c) density ratio 260 50 760 50 3800 500 100 : 7.4+2 1 ::^55
compared to Robin et al. (1995) result. Second, there is a slight correlation b etween scale height and density when determined using star counts (Reid & Ma jewski, 1993). However, Robin et al. (1995) used a larger magnitude in- tervals (from V = 12 to 22), thus raising the indetermina- tion. Our scale height determinations are mainly based on the shap e of densities on gures 1-3, while the scale lengths dep end on ratio of counts b etween opp osite elds. Small relative photometric errors b etween elds will not intro- duce large change on the shap e of gures, but will af- fect relative counts b etween elds and mo dify the scale length. This e ect is larger when we select sample with small extent in B V (e.g. the values of the scale length of thick disk range b etween 2 and 3 kp c for the second sample (5MV 6), and 3.70.5 kp c from the rst sample (3.5MV 5)). A conservative estimate of the errors con- sists to consider the maximal uctuations of our various determinations for di erent samples and di erent tting pro cesses. We found that the scale length is not accurately measured but conversly the exact values have no large in- uence on the other measured quantities (scale height and lo cal densities). We deduce that the scale length of the thick disk is hR = 3 1 kp c. Robin et al. (1995) determination gives 2.80.8 kp c, which is based partly on the same data. These results can b e compared to recent determination given by Soubiran (1993ab), based on a sample of stars with prop er motions towards the NGP : hz ;thin disk = p c, hz ;thick disk =700 p c. Von Hipp el & Bothun (1993) gives hz ;thin disk 290 p c, hz ;thick disk =860 90 p c based on a faint Stromgren photometric survey.
The kinematical prop erties of each stellar p opulation are related to their spatial distributions. Scale height, velo city disp ersions and asymmetric drift are linked by the Boltz- mann equation. The prop ortion of each p opulation varies with the distance ab ove the galactic plane and the selec- tion of a stellar sample at a given distance allows to opti- mize the prop ortion of one p opulation. Since kinematical data allow to improve this identi cation of p opulations, we
have minimized bias from mutual contamination of each p opulation at a given height by p erforming a kinemati- cal separation of p opulations. For that purp ose we have assumed that the kinematic of each p opulation is well ap- proximated by a maxwellian velo city distribution. In case of an isothermal p opulation and separation of vertical and radial motions, this is particularly suited, since no kine- matical gradient is exp ected, mean velo city disp ersion and asymmetric drift remain constant with height ab ove the plane. This allows to recognize one p opulation at various heights and to measure its density along the line of sight. To p erform the kinematical separation, we have used a maximum likeliho o d metho d (SEM algorithm : Celeux & Dieb olt 1986) in order to deconvolve the multivariate gaussian distributions and estimate the corresp onding pa- rameters. The aim of the SEM algorithm is to resolve the nite mixture density estimation problem under the max- imum likeliho o d approach using a probabilistic teacher step. Full details can b e found in a review pap er published by Celeux & Dieb olt (1986). Through SEM one can obtain the numb er of comp onents of a gaussian mixture (without any assumption on this numb er), its mean values, disp er- sions and the p ercentage of each comp onent with resp ect to the whole sample. This metho d has already b een used by Gomez et al. (1990) and Soubiran (1993ab) to charac- terize the (U,V,W) parameters of the stellar p opulations. The samples of stars in 2 elds (GAC1,2 and GC) have b een devided in 6 or 7 bins of distance, and in each bin of distance a t has b een p erformed with a SEM algorithm to separate the 2-D gaussian distributions to identify the three comp onents (thin disk, thick disk and halo) of the Galaxy. As can b e seen in Ojha et al. (1994a) (tables 11 & 12) and Ojha et al. (1994b) (tables 10 & 11), the p er- centage ratio of 2 p opulations (thin disk/thick disk) varies with the distance ab ove the galactic plane and therefore with the line of sight distance. The thin disk p opulation has b een identi ed as a mixture of comp onents (probably young and old disks) and thus we observe a gradient in velo city disp ersions as a function of z. The thick disk p op- ulation (table 12 in Ojha et al. (1994a) and table 11 in Ojha et al. (1994b)) has b een identi ed as a discrete and distinct comp onent. We do not nd any gradient either radial or vertical in the velo city ellipsoid of the thick disk p opulation. This proves that the thick disk is an isother- mal p opulation. The halo p opulation has b een identi ed
prop er motion surveys towards the NGP. Their results can b e compared to our results since selection criteria are very similar. Applying our distance determination (see x2) and SEM to their samples, we obtain nearly the same values for disp ersions and asymmetric drift. Then we obtain a mean U = 71 5 km/s from measurements towards the NGPs and from our eld (GAR). We mention that this value is consistent with the dynamical constraint of the asymmetric drift relation (see x6). V had b een obtained in four elds (three di erent directions : GC, GAC1,2 and NGP) and is apparently constant : mean V = 57 4 km/s. It is dicult to extract W from our determinations of U;W and U using the relation (^2) U;W = ( (^2) U + (^2) W )=2, since errors from b oth determinations are added and W is the (small) di erence of two large quantities. The rela- tive error on W is then to o large. We prefer to apply an indirect determination in order to estimate W. The scale height of an isothermal p opulation is related to its vertical velo city disp ersion. The exact relation can b e determined if the vertical p otential is known. In fact this metho d has b een frequently applied to determine the vertical p oten- tial from samples of disk stars with known vertical density distribution and velo city disp ersions. Most recent results (Bienayme et al. 1987; Kuijken & Gilmore 1989; Flynn & Fuchs 1994) have shown that the vertical p otential can b e explained by the visible mass (stellar and IMS) without advo cating for a dark matter thin disk. Such determina- tions are based on disk stars not very distant from the galactic plane, where the vertical force changes linearly, and where the scale height of these p opulations is nearly prop ortional to their velo city disp ersions. For thick disk stars considered in this pap er, their distances range from 1 to 2 kp c, where the vertical force is nearly constant, and so the scale height of the p opulation in this range of distance is nearly prop ortional to (^) W^2. So W is less de- p endent on the exact value of the p otential. Taking the p otential obtained by Bienayme et al. (1987), Kuijken & Gilmore (1989) and Flynn & Fuchs (1994), we determine a value of W = 40 km/s. Assuming the p otential of Oort (1965) with 30 p ercent of unseen matter in the disk, we would obtain W = 45 km/s. The accuracy on measured disp ersions dep ends on the numb er of stars in the sample. The samples towards the NGP are relatively small and result in larger errors (error bars given by Soubiran (1993ab) re ect directly the num- b er of stars in her sample). Errors on Kharchenko et al. (1994) data must b e similar (5 to 10 km/s). A second e ect comes from the accuracy of prop er motion that has b een exactly determined for all these surveys, and range from 1 to 2 mas/year or 10 to 40 km/s for stars at distance of 1 to 2 kp c. From the observed prop er motion distributions and with the help of the Besancon galactic mo del, we de- termine the ellipsoid of the velo city distribution corrected from errors on the prop er motions (table 5). Remark : All previous determinations have b een done assuming that the main axis of the velo city ellipsoid re-
mains parallel to the plane. The exact situation is not clear while it is sometimes claimed that the ellipsoid should p oint towards the plane in a direction b eyond the galac- tic centre. If the ellipsoid is oriented in such a way, the velo city disp ersion observed on the GC eld would imply a smaller U in this direction, and a slightly larger in the GAC eld. This implies a gradient of U , with increas- ing values of U outwards. This apparently contradicts the fact that we observe a small negative gradient for the V-disp ersions (that is not mo di ed by an ellipsoid incli- nation), and since U and V-disp ersions are kinematically linked.
Table 5. The mean kinematic parameters of thick disk (in km/s) derived from 4 elds (GAC1,2, GC, GAR & NGP). W is determined for the most probable vertical p otential (see text). VLag is with resp ect to the Sun
U V W VLag Thick disk 67 4 51 3 40 -53 10
It should b e noted that since two years the accuracy of the kinematical measurements of the thick disk p opulation has greatly improved and the results are well in agreement with each others (see table 6). It remains a controversy ab out a p ossible vertical gradient claimed by Ma jewski (1992) but not seen in data from Soubiran (1993ab), Ojha et al (1994ab) and others. The determination of the gradi- ent is of great consequence on the scenario of formation for this p opulation (see x7). The controversy seems to come from the way p opulations are distinguished from each oth- ers. The SEM algorithm (used by Soubiran 1993ab and Ojha et al. 1994ab) allows to well separate the thick disk and to evaluate its kinematics within a go o d accuracy in distance bins where it is prep onderant.
5.2.2. Multivariate discriminant analysis Because the kinematics and metallicity of thick disk p op- ulation is supp osed to di er from the thin disk and halo, it may b e p ossible to pick out thick disk stars on the basis of the kinematical di erences b etween the three p opulations. We therefore try here to nd new constraints on thick disk p opulation using samples at intermediate latitude which include photometry and prop er motions. We have used multivariate discriminant analysis (MDA) to qualify the thick disk using observations in multidimensional space (V, B-V, U-B, l & b ). A MDA is used to search for the b est discriminant axes to pro ject the data in multi-dimensional space to seek the optimal separation b etween di erent p opulations. The dis- tribution of stars along the discriminant axis (combination of the observed axis) shows the clearest separation b e- tween the thin disk, thick disk and halo. We have applied
Table 6. Determinations of the velo city ellipsoid of thick disk p opulation (in km/s)
Author(s) Thick disk
U V W VLag Wyse & Gilmore 1986 80 60 60 100 Carney & Latham 1986, 1989 { { { 30 Norris 1986,1987ab { { 35 20 Sandage & Fouts 1987 75 35 42 31
(^) The author advo cates a vertical kinematical gradient of the intermediate p opulation stars
this metho d to our data sets (GC and GAC1,2), using sim- ulations from the Besancon mo del of p opulation synthesis to separate the thick disk among other p opulations and to investigate the circular velo city of this p opulation. The advantage of this metho d is that we can extract the kine- matic parameters of stellar p opulations without estimat- ing the stellar distances i.e. by using a mo del of p opulation synthesis. Using mo del predictions, we select a subsample of stars (where the thick disk stars are in ma jority), chosen as B-
to nd the b est discriminant axes where to pro ject the data in order to separate the thick disk p opulation from the thin disk and halo. This was done using a multivari- ate discriminant analysis under the MIDAS^1 environment. Mo del simulations have b een made assuming di erent cir- cular velo cities of thick disk. The characteristics of each tested mo del are shown in Ojha et al. (1994b) (table 8). To avoid to o large Poisson noise in the Monto-Carlo simu- lations, we computed at least 10 simulations of 100 square degrees for each of the mo dels tested in our analysis. The rst discriminant axis for the circular velo city of 180 km/s of thick disk in the direction of GC is given by :
It should b e noted that the discriminant axis varies when we change the circular velo city in mo del simulations. The resulting discriminant axis is dominated by the prop er motion along the rotation (l ) and by the U-B color index
(^1) MIDAS is an acronym for M unich Image Pro cessing
and Data Analysis System develop ed by Europ ean Southern Observatory.
due to metallicity di erences b etween the thin disk, thick disk and halo. To quantitatively estimate the adequacy of the mo dels with various circular velo cities, we applied a ^2 test to compare the distribution of the sample on the discriminant axis with a set of mo del predicted distributions assuming di erent circular velo cities of thick disk. The ^2 is given by the following formula :
i=
ai
Where n is the numb er of bins and a & b are the num- b er of counts in each bin in the mo del and observed data sets, resp ectively. The resulting ^2 distribution may b e approximated by a normal distribution given by the ex- pression (Wilson & Hilferty 1931) :