Abstract

The recently discovered vast thin plane of dwarf satellites orbiting the Andromeda Galaxy (M31) adds to the mystery of the small-scale distribution of the Local Group's galaxy population. Such well-defined planar structures are apparently rare occurrences in cold dark matter cosmological simulations, and we lack a coherent explanation of their formation and existence. In this paper, we explore the long-term survivability of thin planes of dwarfs in galactic haloes, focusing, in particular, on systems mimicking the observed Andromeda distribution. The key results show that, in general, planes of dwarf galaxies are fragile, sensitive to the shape of the dark matter halo and other perturbing effects. In fact, long-lived planes of satellites only exist in polar orbits in spherical dark matter haloes, presenting a challenge to the observed Andromeda plane that is significantly tilted with respect to the optical disc. Our conclusion is that, in the standard cosmological models, planes of satellites are generally short lived, and hence we must be located at a relatively special time in the evolution of the Andromeda Plane, lucky enough to see its coherent pattern.

1 INTRODUCTION

For decades, the distribution of the Local Group's satellite galaxy population has presented a puzzle. This began with the discovery of the alignment of a number of Milky Way (MW) satellite galaxies with the orbital plane of the Magellanic Clouds (Lynden-Bell 1976), identifying a vast polar structure in the MW, with a second similar grouping noted by Lynden-Bell (1982), containing Fornax, Leo I, Leo II and Sculptor. More recently, Kroupa, Theis & Boily (2005) showed that the 11 brightest satellites of the MW are on a plane with a thickness of 20 kpc (Pawlowski et al. 2012; Pawlowski & McGaugh 2014), and aligned with the pole of the Galaxy. The recent analysis of the Pan-Andromeda Archaeological Survey (PAndAS) resulted in the accurate distance measurements to the known population of M31 satellites using a sensitive homogeneous method (Conn et al. 2012), revealing their three-dimensional distribution. As shown in Ibata et al. (2013), about 15 of the 30 known satellites that orbit M31 form an extremely thin plane, with a thickness of 12.6 ± 0.6 kpc, but with an overall extent of ∼200 kpc. The significance of the presence of this plane was boosted with the discovery of kinematically coherent orbital motion for the plane members, with the southern most satellites moving towards us, while those in the north are moving away (correcting for the motion of M31). The possibility that this plane represents a chance alignment appears to be highly improbable, with a resulting significance of the presence of this planar structure of approximately 99.998 per cent (Conn et al. 2013; Ibata et al. 2013).

From our vantage point, the Andromeda plane is seen edge-on, and is approximately aligned with the pole of our own Galaxy, being significantly tilted with respect to Andromeda's optical disc (Ibata et al. 2013; Shaya & Tully 2013). The existence of additional planes in the Local Group was noted by Tully et al. (2015), who find a second plane in the M31 system. They also find two parallel planes in the Centaurus A group.

There are various open questions in our understanding of planes of satellite galaxies, in particular, how such a structure forms and how stable it is over a cosmologically significant period of time; these are the questions we address in this paper. We begin in Section 2 by giving an overview of the recent discussions and debates on the issues of satellite planes, while Section 3 introduces the numerical model used to describe both the MW and M31 potentials. In Sections 4 and 5, we describe the stability tests for orbiting satellite galaxies in a plane, and examine how the MW and satellite mass and velocity can influence a plane of satellite. In Section 6, we study the influence of the properties of the host galaxy's dark halo on a planar structure, focusing in particular on the orientation of plane structure with regard to flattening of the potential. Section 7 presents our comparison of simulations with observations and conclusions on the longevity of planes of satellites.

2 BACKGROUND

In the decades since the discovery of MW's generally asymmetric distribution of satellite galaxies, a significant effort has been put into understanding its existence in light of the standard Λ cold dark matter (ΛCDM) cosmology. A search for coherent orbits within numerical simulations of structure formation reveals an overall isotropic distribution for satellite galaxies, with plane-like structures occurring in about 2 per cent of MW/M31-like haloes (Boylan-Kolchin et al. 2009; Bahl & Baumgardt 2014). The chance of such occurrences becomes even lower when looking for structures with properties similar to the M31 system (Ibata et al. 2014b), suggesting that strongly anisotropic distribution of satellites is not a natural phenomenon within simulations of ΛCDM cosmology. However, the discrepancies between dark matter simulations and the observations in the Local Group might be resolved by introducing baryonic physics. ‘Zoom-in’ simulations of the Local Group with more detailed hydrodynamical simulations, including supernova feedback, show anisotropic distributions of satellite galaxies around MW-like haloes, not dissimilar to those around the MW (Sawala et al. 2016). These results seem to be in agreement with those presented in Ibata et al. (2014a), where the authors investigate the incidence of planar structures in a larger galaxy population using the Sloan Digital Sky Survey (SDSS). Their analysis suggests that co-rotating dwarf galaxies might be common, although this result has been challenged by recent papers (e.g. Phillips et al. 2015).

Repeating the analysis presented in Ibata et al. (2014a), Cautun et al. (2015a) conclude that while co-rotating satellite pairs are seen, they do not imply the presence of co-rotating planes of satellites. In the same paper, the authors compare the occurrence of co-rotating galaxy pairs in the SDSS to those in the Millennium II (MII) cosmological simulations, finding a general agreement between the two. Cautun et al. (2015b) explore the Millennium II and COCO (Hellwing et al. 2016) dark matter only simulations, extending the search for planes of satellites. Around 10 per cent of MW/M31-like hosts were found to contain satellite planes, albeit not always as rich in number and as thin as those observed in M31 (and MW). This suggests that satellite planes are predicted in ΛCDM, but with properties (e.g. varying thickness, fraction of total satellite population on the plane and radial distribution) that can be different to those observed in the M31/MW. Due to this variety, a search matching only the two prominent planes seen in our Local Group in the simulations may yield results that classify the planes as an extreme rarity.

While corroborating findings on the diversity of planes in simulations, Buck, Macci & Dutton (2015) explore how the dark halo environment may help or hinder the presence of planes. Their zoom-in dark matter simulations show that high-concentration haloes are more likely to host planes of satellites, having accreted their satellites and mass at early times. However, the general conclusion is that planes of satellites are a transitory phenomenon. Similar conclusions are drawn by the Gillet et al. (2015) analysis of CLUES (Constrained Local UniversE Simulations). The planes they find contained 11 satellite galaxies at most, indicating the likely possibility of M31's plane of 15 satellites being an extreme occurrence. About a third of satellites have high velocities that are perpendicular to the planar formation, making their presence in the plane purely coincidental. Gillet et al. (2015) conclude that the observed satellite planes appear to be in agreement with the ΛCDM but as a transitory feature, created with a few planar satellites and several timely interlopers. Such coincidental placement of galaxies may reduce the number of observed kinematically coherent planes. If this holds true, we are living in a ‘special’ time when these structures can be observed both in M31 and MW.

The question of the formation and evolution of planar populations of dwarfs also remains unanswered. There have been several suggested mechanisms, with the feeding of dwarf galaxies through dark matter filaments taking a prominent position (Libeskind et al. 2005; Lovell et al. 2011). Buck et al. (2015) claim that M31-like planes emerged in very early forming host haloes, where the satellites are accreted around z ≥ 3 via filaments that were thinner in early times (see Pawlowski et al. 2012; Pawlowski & McGaugh 2014 for different interpretations). More radical solutions have been proposed as well, e.g: Kroupa et al. (2005) suggest that the MW plane, having origins in tidal dwarf galaxies, formed as a result of larger galaxy interactions (Hammer et al. 2013). However, Collins et al. (2015) find that satellites on and off the plane exhibit no segregating features other than their spatial alignment. This would contradict a merger with a similar mass galaxy as a formation scenario for M31; distinct histories would result in different properties for satellites on and off the M31 plane. Nevertheless, a recent accretion event of such magnitude is found to be improbable (Angus, Diaferio & Kroupa 2011). Smith et al. (2016) explore the behaviour of satellite planes after similar mass mergers and find that about 65–70 per cent survive to the simulation's end, while the rest are destroyed or merged. Satellites positioned in/close to dark matter filaments have a slightly higher survival rate and time through their simulations. Although nothing notable is affected by the variations in the applied cosmology, prograde satellites were found to be more likely to stay as satellites, as opposed to retrograde orbits.

The longevity of a plane of dwarfs in a galactic halo has been found to depend on the orientation of its orbit. Bowden, Evans & Belokurov (2013) argue that a thin disc of satellite galaxies can persist over cosmological times if and only if it lies in a plane that is aligned with one of the semimajor or semiminor axis of a triaxial halo, or in the equatorial or polar planes of a spheroidal halo. In this latter case, perturbations from the disc can act to disperse a satellite plane. In any other orientation, the disc thickness would double on 10 Gyr time-scales and so, to get planes as thin as the one observed in M31, these must have been born with what they address as an implausibly small perpendicular scaleheight.

Despite the intricacies of formation processes of the plane of satellites, their longevity will depend on environmental properties (such as host halo shape and the particular orbits the satellite lie on). In this paper, we explore the effect that halo shape and initial properties of the satellites will have on the stability of planar structures.

3 NUMERICAL MODEL

Our numerical model is based on two static potentials to represent the M31-MW system. Even though the focus of this paper is considering the orbits of dwarfs in the vicinity of M31, we chose not to neglect the perturbing influence of an external large galaxy such as the MW. The potential of M31 consists of three components representing the halo, disc and bulge in separate equations, as first proposed in Geehan et al. (2006) and used in Arias et al. (2016). The dark matter halo is described as a Navarro, Frenk and White (NFW) potential (Navarro, Frenk & White 1997) given by
(1)
where rh is the scale radius, the present-day critical density is ρc = 277.7 h2 M kpc−3, h = 0.71 in the unit of 100 h   km s− 1Mpc− 1 (Geehan et al. 2006) and δc is a dimensionless density parameter. The disc component of the potential is given by a Miyamoto–Nagai potential (Miyamoto & Nagai 1975)
(2)
and the bulge component follows a Hernquist (1990) profile.
(3)
The MW potential contains similar components, an NFW halo (equation 1), a Hernquist bulge (equation 3) and stellar disc defined as a Miyamoto–Nagai potential (equation 2). All the parameters we use are listed in Table 1 and are similar to values used in Arias et al. (2016).
Table 1.

Parameters used for the M31 and MW potential. The M31 parameters are consistent with Geehan et al. (2006) and Widrow & Dubinski (2005) and the MW disc and bulge parameters are taken from Bullock & Johnston (2005).

M31MW
Φhalo(r)=|$-4{\pi }G\delta _{\rm {c}}\rho _{\rm {c}}{r_{\rm {h}}}^2\left(\frac{r_{\rm {h}}}{r}\right)\log \left(\frac{r+r_{\rm {h}}}{r_{\rm {h}}}\right)$|rh13.5 kpc24.54 kpc
Mhalo1.037 × 1012 M0.9136 × 1012 M
Φbulge(r)=|$-\frac{\rm {GM_{{bulge}}}}{r_{\rm {bulge}}+r}$|Mbulge2.86 × 1010 M3.4 × 1010 M
rbulge0.61 kpc0.7 kpc
Φdisc(R, z)=|$-\frac{\rm {GM_{disc}}}{\left(R^2+\left(r_{\rm {disc}}+{\sqrt{(z^2+b^2)}}\right)^2\right)^{1/2}}$|Mdisc2.86 × 1010 M10.0 × 1010 M
rdisc5.4 kpc6.65 kpc
b0.3 kpc0.26 kpc
M31MW
Φhalo(r)=|$-4{\pi }G\delta _{\rm {c}}\rho _{\rm {c}}{r_{\rm {h}}}^2\left(\frac{r_{\rm {h}}}{r}\right)\log \left(\frac{r+r_{\rm {h}}}{r_{\rm {h}}}\right)$|rh13.5 kpc24.54 kpc
Mhalo1.037 × 1012 M0.9136 × 1012 M
Φbulge(r)=|$-\frac{\rm {GM_{{bulge}}}}{r_{\rm {bulge}}+r}$|Mbulge2.86 × 1010 M3.4 × 1010 M
rbulge0.61 kpc0.7 kpc
Φdisc(R, z)=|$-\frac{\rm {GM_{disc}}}{\left(R^2+\left(r_{\rm {disc}}+{\sqrt{(z^2+b^2)}}\right)^2\right)^{1/2}}$|Mdisc2.86 × 1010 M10.0 × 1010 M
rdisc5.4 kpc6.65 kpc
b0.3 kpc0.26 kpc
Table 1.

Parameters used for the M31 and MW potential. The M31 parameters are consistent with Geehan et al. (2006) and Widrow & Dubinski (2005) and the MW disc and bulge parameters are taken from Bullock & Johnston (2005).

M31MW
Φhalo(r)=|$-4{\pi }G\delta _{\rm {c}}\rho _{\rm {c}}{r_{\rm {h}}}^2\left(\frac{r_{\rm {h}}}{r}\right)\log \left(\frac{r+r_{\rm {h}}}{r_{\rm {h}}}\right)$|rh13.5 kpc24.54 kpc
Mhalo1.037 × 1012 M0.9136 × 1012 M
Φbulge(r)=|$-\frac{\rm {GM_{{bulge}}}}{r_{\rm {bulge}}+r}$|Mbulge2.86 × 1010 M3.4 × 1010 M
rbulge0.61 kpc0.7 kpc
Φdisc(R, z)=|$-\frac{\rm {GM_{disc}}}{\left(R^2+\left(r_{\rm {disc}}+{\sqrt{(z^2+b^2)}}\right)^2\right)^{1/2}}$|Mdisc2.86 × 1010 M10.0 × 1010 M
rdisc5.4 kpc6.65 kpc
b0.3 kpc0.26 kpc
M31MW
Φhalo(r)=|$-4{\pi }G\delta _{\rm {c}}\rho _{\rm {c}}{r_{\rm {h}}}^2\left(\frac{r_{\rm {h}}}{r}\right)\log \left(\frac{r+r_{\rm {h}}}{r_{\rm {h}}}\right)$|rh13.5 kpc24.54 kpc
Mhalo1.037 × 1012 M0.9136 × 1012 M
Φbulge(r)=|$-\frac{\rm {GM_{{bulge}}}}{r_{\rm {bulge}}+r}$|Mbulge2.86 × 1010 M3.4 × 1010 M
rbulge0.61 kpc0.7 kpc
Φdisc(R, z)=|$-\frac{\rm {GM_{disc}}}{\left(R^2+\left(r_{\rm {disc}}+{\sqrt{(z^2+b^2)}}\right)^2\right)^{1/2}}$|Mdisc2.86 × 1010 M10.0 × 1010 M
rdisc5.4 kpc6.65 kpc
b0.3 kpc0.26 kpc

To assess the stability of satellite galaxy planes through time, the numerical model focuses on a simulated set of satellite galaxies around M31. We create 30 satellite galaxies as point masses initially set on a plane aligned with the disc of M31 (z = 0), and will be referred to as an equatorial plane or as the θ = 0° plane. We construct the initial θ = 0° plane by giving the satellites a random value of their z-position in the range −5 to +5 kpc drawn from an uniform distribution. Additionally, their radial distances are randomly scattered within 50 and 250 kpc of the centre of M31 potential. Velocities of the satellites are determined by two components – the velocity on the plane (planar velocity) and perpendicular to the plane (perpendicular velocity). The planar velocity is calculated for right-handed co-rotation and restricted to keep the satellites on elliptical orbits bound to M31. Orbital ellipticities range from ε = [0.5, 1.0] to create nearly circular orbits. Velocities perpendicular to the plane are set to 0.0  km s−1 in order to create a motion that is completely confined to the plane. This allows us to observe the effects of various parameter changes more clearly. By rotating this initial plane and its velocities about a given axis, we later manipulated the plane's alignment with the M31 galactic disc and dark matter halo equator.

The numerical models are integrated for 5 Gyr, with snapshots at intervals of 0.1 Gyr, using the Leapfrog algorithm (Springel 2005). We begin by looking for a collection of 10 or more satellites in the plane that was set at t = 0 (the initial plane), which includes the centre of M31. The root-mean-square distance (Drms) of a satellite galaxy to the plane is taken to be ≤15 kpc for it to be considered a part of the planar formation. The plane considered here is more than twice the thickness of the M31 Vast Thin Plane of Satellites (VTPoS) and about the thickness of the MW Great Polar Plane. The number of satellites creating a plane is smaller than the number of satellites in both M31 and MW planes. If we cannot find 10 or more satellites within 15 kpc at a given time-step, it is regarded as a snapshot where a plane cannot be observed. We search for satellites that are in the abovementioned range of the initially set plane at each time-step. We count the number of satellites on the plane and divide by the number of satellites to calculate the probability of seeing a satellite on a plane at a given time step – P. The probability is obtained by averaging values from 750 orbital integrations for each variation of each parameter tested.

4 EFFECT OF THE MW ON THE PLANE OF SATELLITES

Before exploring the effects of properties such as perpendicular velocity, we investigate the role of the MW on the probability of seeing satellite planes. Throughout the paper, tests are conducted with a static potential representing the MW. We also conduct our tests in an M31 potential, which gave a smooth dark matter halo, and an environment void of any dark subhaloes. Our numerical model (Section 3) keeps the MW at a distance of 779 kpc and conducts tests for an integration time of 5 Gyr. The M31 plane is observed to be inclined at ∼ 50° to the disc of the galaxy (Ibata et al. 2013). Therefore, we also introduce an incline to our satellite plane formations – where plane orientation and satellites’ total velocities are rotated at an angle of θ about the x-axis from 0° to 90° in 15° intervals.

The resulting probabilities for a plane lasting through the 5 Gyr without the destructive forces of additional dark matter haloes remain high (P ≥ 0.9) for planes of all orientations. Extending the integration time to 10 Gyr, we noticed a striking difference in the probabilities for the existence of the satellite plane (Fig. 1). But the equatorial planes show a dramatic drop in P after the 5 Gyr mark. We find a little less than P = 0.6 probability for detecting an equatorial plane by the end of 7 Gyr. Finer examinations of the orbits show that the critical factor in dispersing the equatorial planes is the long-term effect of the MW, positioned at an angle of ∼ 10° off the M31 galactic disc. Another important observation is that polar planes are not affected by the MW position in 10 Gyr of orbital time. With the MW nearly tangent to polar planes of M31 and at a larger distance than for equatorial orientations, its pull on a plane of satellites is minimal. This dispersion of equatorial planes is not seen in simulations without the MW potential. The first 5 Gyr integration period shows no pronounced effects from the MW potential on the plane of M31 satellites. As for most of recent history, the MW maintains a distance larger than the current distance to M31 for large portion of the integration time, a plane's probability of survival for an initial 5 Gyr integration period is not greatly affected by the MW.

Probability (P) of finding a satellite (of mass 109 M⊙) on planes at varying angles to the z = 0 plane in the x-direction, in a spherical dark-matter halo during 10 Gyr.
Figure 1.

Probability (P) of finding a satellite (of mass 109 M) on planes at varying angles to the z = 0 plane in the x-direction, in a spherical dark-matter halo during 10 Gyr.

We can conclude that the MW's influence on the long-term survival of a plane in M31 varies with position and movement. The static MW's influence on a satellite plane in M31 appears after the 5 Gyr period, which is examined by the tests and models explored next (Sections 5 and 6). Proper motion of the MW puts it at a larger distance through the explored 5 Gyr period into the past. However, the nature of the nearest large neighbour's influence during integration times ≤10 Gyr becomes non-negligible and distance to the MW becomes crucial to maintaining the plane of satellites.

Members of VTPoS share their neighbourhood with larger satellites such as M33, which may act as perturbers of the plane and influence a plane's longevity. While the more massive satellites of M31 (and the higher mass VTPoS members like M32) are likely to have a significant effect on our simulated plane, including such perturbers in our simulation may cloud effects from the more intrinsic properties that we explore in this paper.

5 EFFECTS OF VELOCITY AND MASS ON A PLANE OF SATELLITES AROUND M31

We expect that the velocity and mass of satellite galaxies will play crucial roles in maintaining a stable planar formation as they are major factors in determining the dispersion and self-interaction of satellites. In the following section, we will consider the impact of these on the longevity of satellite planes, using the numerical model established in Section 3.

5.1 Variation of the velocity perpendicular to the plane

This section considers the addition of velocity components perpendicular to the planar orbits of the satellites. Velocities are drawn from a Gaussian distribution with a mean, μ = 0  km s−1, and standard deviations, σ, of 0, 5, 10, 20, 30, 50 and 75  km s−1 all calculated in the reference frame centred on M31. The mass of the satellites is chosen to be 109 M, a value representative of the halo population of M31. The satellites are placed initially on the y = 0 plane, in a polar formation with respect to the disc of the M31 potential (Section 3) to discount any effect on the plane from the disc of the host galaxy.

Fig. 2 shows the effects of velocity on a plane; remember that an initial population of 30 dwarf galaxies was considered and a plane is defined as consisting of 10 satellite systems. Clearly, if there was no off-plane velocity and gravitational interactions between the dwarfs, all members will retain their planar configuration. This is reflected in Fig. 2 initially as P = 1.0, but after a couple of Gyr, the probability for detecting a plane of 10 satellites from a population of 30 steadily falls until, after 5 Gyr, the probability is >90 per cent. As the off-plane velocity is increased, the probability for detecting a plane of 10 satellites drops relatively rapidly. Examining Fig. 2 in more detail, it is clear that dispersions in the range 5–20  km s−1 result in a steady decline in the observation of a remaining plane from an initial population.

Probability of finding a satellite on z = 0 plane (P) – varying velocities (km s−1) perpendicular to plane of satellites of mass 109 M⊙.
Figure 2.

Probability of finding a satellite on z = 0 plane (P) – varying velocities (km s−1) perpendicular to plane of satellites of mass 109 M⊙.

Increasing the velocity dispersion significantly reduces the longevity of the planar structure. At 30  km s−1, the effect is to reduce the observability of satellite planes to 0.5 in the cosmologically short time-scale of 1 Gyr, although it reaches a minimum of 0.4 at 0.5 Gyr. This drop and subsequent rise suggests that the detection of planar structures after 0.5 Gyr are due to a combination of a smaller number of remaining members on the plane plus interlopers flying through.

Increasing the velocity dispersion results in a more rapid demise of planar structures. At the extreme considered here, the plane disperses almost immediately. This has significant implications for the potential accretion origin of the observed planar structures, something we will return to in Section 7.

5.2 Variation of satellite galaxy masses

Simulations of cosmic structure growth produce a broad range of masses for baryonic and dark satellites, as shown in Sawala et al. (2016), where hundreds of dwarf galaxies in a 106–1012  M range are found within radius ≤300  kpc of an MW-like host. Observationally, the stellar masses for the known satellites of M31 are found in the range 106–109  M (Shaya & Tully 2013), and dwarf galaxies (especially dwarf spheroidals) are known to exhibit high mass-to-light ratios (Mateo 1998), and hence this stellar component is thought to reside in a large dark matter component. To account for this and to test the influence of different satellite masses on the stability of planes of satellites, we give the dwarfs individual masses of 107, 108, 109, 1.5 × 109 and 1010  M, encompassing the observed broad range of satellites.

As we have already seen in Fig. 2, the tangential velocity vector heavily influences the longevity of satellite planes, so here we consider the extreme case with all of the satellites initially on the z = 0 plane with a zero perpendicular velocity. The results of the orbital integration in this scenario are presented in Fig. 3. As expected, the lower mass satellites undergo the weakest self-interactions, with a significant probability for the identification of a plane of satellites after 5 Gyr. This self-interaction increases as the satellite masses are increased, leading to a more rapid destruction of the initial satellite plane. The orange line represent probability changes for planes where satellite galaxies are given a range of masses from 107 to 1010  M. Satellites with larger masses affect the smaller satellites to disrupt their orbits on the planes.

Probability of finding a satellite on z = 0 plane (P) – varying mass of satellites ( M⊙) for satellites with plane perpendicular velocity of 0 km s−1.
Figure 3.

Probability of finding a satellite on z = 0 plane (P) – varying mass of satellites ( M) for satellites with plane perpendicular velocity of 0 km s−1.

It is important to remember that the results presented in Fig. 3 are for the most ideal initial conditions with no perpendicular velocity. So comparing Figs 2 and 3 we can draw interesting conclusions on both the effects of perpendicular velocities and masses on the longevity of a satellite plane; considering realistic masses for the dwarf satellite population, even in the most idealistic and unphysical situation, an extremely cold accretion with no velocity dispersion out of the plane, any plane of satellite galaxies will disperse in a few Gyr.

6 INFLUENCE OF NON-SPHERICAL HALOES AND RELATIVE ORIENTATION OF THE PLANE

So far, we have considered a simple spherical potential to represent dark matter distribution of both M31 and the MW. However, cosmological simulations suggest that realistic dark matter haloes should be flattened or even triaxial; it is well known that orbits in non-spherical halo orbits precess and we would expect that such precession will significantly impact the longevity of planar structures. Bowden et al. (2013) consider planes in triaxial haloes to show that, through precession, they double their thickness by the end of 10 Gyr when the plane is not aligned with the semimajor or semiminor axis of the triaxial host halo they inhabit. In this subsection, we undertake a broader examination of the effects of non-spherical haloes on a plane of galaxies, by ‘flattening’ the otherwise spherical NFW halo profile.

To study the influence of flattened halo potentials, we introduced a flattening parameter, q, to the z-axis of the standard NFW equation (equation 1). For this, we replace r2 of Φhalo(r) with
(4)
We consider flatness parameters of q = 1.67, 1.43, 1.25, 1.11, 1.0, 0.975, 0.95, 0.9, 0.8, 0.7 and 0.6. q < 1.0 produces prolate haloes while q > 1.0 produces oblate haloes (with q = 1.11 being equivalent to q =1/0.9 etc). Again, we restrict the satellites to an equatorial plane of z = 0, each given a perpendicular velocity of 0  km s−1, with a mass of 109  M each; examining Fig. 3 shows that this mass scale and lower shows little notable gravitational self-interaction between the satellites.

6.1 Inclined planes in non-spherical haloes

As described in the results of Section 4, we found that the satellite planes’ orientation to the host halo plays a key role on the plane's stability. In the case of the MW, the observed plane of satellites is perpendicular to the stellar disc (Kroupa et al. 2005) whereas in the case of M31, this is not the case. Most MW-M31 size galaxies in cosmological simulations show their disc to be aligned with their dark matter halo (Vera-Ciro et al. 2011). It is therefore likely that the M31 VTPoS is misaligned with the axes of its host's major dark matter halo.

Here, we introduce various inclinations of the plane of satellites with respect to flattened haloes with different values of q. Initially the satellite galaxies are on a z = 0 equatorial plane (with velocities restricted to the plane so the off plane dispersion is zero). Following the method of Section 4, the plane of satellites and their velocities are rotated at an angle of θ about the x-axis from 0° to 90° in 15° intervals. The orbits are integrated for 5 Gyr and the values of the probability are shown in Fig. 4.

Probability of finding a satellite on an inclined plane (P) of 10 or more galaxies within Drms ≤ 15, and of mass 109  M⊙ – varying ‘flatness’(q) of the M31 halo.
Figure 4.

Probability of finding a satellite on an inclined plane (P) of 10 or more galaxies within Drms ≤ 15, and of mass 109  M – varying ‘flatness’(q) of the M31 halo.

Fig. 4 presents the survivability of planes (of satellites) at the differing inclinations and flattening values, q. Considering equatorial planes (θ = 0°), we can see that the non-spherical nature of the halo has a mild influence on the probability of finding a satellite on a plane. As the flattening of the potential is increased/decreased from 1.0, the probability for finding a planar distribution experiences little variation with respect to that seen for a fully spherical halo.

Such planes, therefore, possess long-term dynamic stability, with a high probability of seeing a plane at any given time within 5 Gyr. As the angle is increased from 45°–90° the plane gets closer to the z-axis and P is notably increased.

The average probability of finding a plane (minimum of 10 satellites) for 5 Gyr is given in part (a) of Table 2, columns varying halo flatness and rows varying plane inclination. Their pattern reflect the overall trends of Fig. 4 – average probability changes with incline and q values. It is evident that in extremely prolate (q = 0.6) and oblate (q = 1.67) haloes, even if satellites start on a plane, each satellite has only a probability of 0.21 of being seen on that plane through 5 Gyr. The potential change created by a flattened halo does not greatly affect satellites set at z = 0, allowing those planes to last longer than inclined planes.

Table 2.

Probability of seeing satellites on planes (P) – system of 30 satellites with 0  km s−1 perpendicular velocity, satellite mass = 109 M, minimum number of satellites on a plane = 10  kpc and Drms = ±15  kpc.

Table 2.

Probability of seeing satellites on planes (P) – system of 30 satellites with 0  km s−1 perpendicular velocity, satellite mass = 109 M, minimum number of satellites on a plane = 10  kpc and Drms = ±15  kpc.

Planes rotated along the x-axis show different probabilities for all non-spherical haloes starting from q = 0.95 (Table 2). Though it appears as a very small change from q = 1.0, it has a visible effect on the number of satellites that remain on the initial planar region for 5 Gyr. As the rotated planes get closer to another axis (z in this case), the probability values get higher. Reducing q to 0.95 will give satellites on any inclined plane a final probability ≤0.5 (Fig. 4).

However, starting from q = 0.9 (Fig. 4) the P values decline at a very rapid rate – most clearly seen at the higher angles of inclination. For a plane with a higher inclination about the x-axis the probability of seeing a satellite on the initial plane region decreases. For a 45° inclination, the probability P decreases by ∼40 per cent and the planes disintegrate faster as the initial plane incline is increased. This trend continues for other q ≠ 1.0 values. In fact, the effect is greatly amplified as q values decrease to form prolate haloes or increase to form oblate haloes. In particular for a plane with a 45° inclination, the probability P is similar to that of a random distribution after 5 Gyr. As we further reduce q, all inclined planes will disintegrate rapidly and reach a random distribution after around 2.5 Gyr (Fig. 4). For q = 0.9, planes with an inclination larger than 30° to a principal axis are reduced to a probability less than 0.5 in 5 Gyr. The time-scale to reach similar probability for q = 0.8 is effectively halved from 5 Gyr to 2 ∼ 3 Gyr for all inclined planes. Further decreasing q will cause the probabilities to decrease to P = 0.2 an entire Gyr earlier for all inclined planes, reducing the lifetime of a visible satellite plane to less than 3 Gyr. The trends are similar when increasing the oblate nature of the host halo (q > 1.0), with the changes to the probability exhibiting a symmetry q.

The average time a satellite spends on a plane is calculated and given in part (a) of Table 3. This does not show the average continual time, but cumulates all the time-steps when a given satellite is on its initial plane range, and gives the number of years that it can be spotted in its starting planar formation. Planes set on the x- and z-axes are likely to stay for more than 4.4 out of the 5 Gyr on the plane despite changes of q. Inclined planes clearly reflect the trends of Table 2 and Fig. 4. For haloes with a flatness of q = 0.8 planes at 45° will be observable on average 2 Gyr. But for more prolate haloes (q = 0.6) and more oblate shapes (q = 1.67), the overall lifetime of all inclined planes is smaller than 2 Gyr. Dark matter only simulations calculate triaxial axis ratios to be around b/a ∼ 0.6 and b/c ∼0.4 (Jing & Suto 2002; Allgood et al. 2006). Therefore, although q = 0.6/1.67 represents a smaller flattening than the average values for host haloes, planes with inclination as small as 15° to major axes have an average lifetime of only 2 Gyr or less.

Table 3.

Average time spent on planes – system of 30 satellites with 0  km s−1 perpendicular velocity, satellite mass = 109 M, minimum number of satellites on a plane = 10  kpc and Drms = ±15  kpc.

Table 3.

Average time spent on planes – system of 30 satellites with 0  km s−1 perpendicular velocity, satellite mass = 109 M, minimum number of satellites on a plane = 10  kpc and Drms = ±15  kpc.

6.2 Fitted planes and plane precession

In the previous sections, we have calculated the probability of finding a satellite galaxy on the ‘original’ plane it was set on. Flattened haloes have shown interesting properties in simulations: the orbits of satellites display precession through a period of time. Ibata et al. (2001) demonstrate how the MW is unlikely to have a halo flatter than q = 0.7 with their analysis and simulations of the Sagittarius dwarf galaxy and its tidal stream. Bowden et al. (2013) suggest that precessing planes could not be found for the 30 most massive satellites examined in their zoom-in dark matter simulations run for 5 Gyr. For their test haloes, starting from infall times, the plane found at each time-step was not a slight precession from the previous plane but an altogether different plane.

What if satellite planes change their orientation and precess with time? As a plane disperses we still may see planar formations at different angles of inclination. A plane-fitting method should detect these precessing planes of satellites as the ‘best-fitting plane’ for each time-step. For precessing planes, the probability of finding a satellite on a fitted plane should be larger than the probability of finding a satellite on the initial plane (calculated in part b of Table 2). To test this hypothesis, we used least squares fitting to find the best-fitting plane that also contains the centre of M31. Here, a plane retains the same definition of ‘10 or more satellites within a distance of Drms = 15  kpc to the best-fitting plane’. Plane fitting is applied to each snapshot of the 5 Gyr integration, which is taken at 0.1 Gyr intervals.

The average probability of a satellite being on the best-fitting plane at any given time through 5 Gyr is given in part (b) of Table 2. The trend of increasing probability as planes move towards the axes from 45° and decreased probability for flatter haloes is already apparent in averaged values in an initial plane (Table 2, part a) and continues here too. Haloes with 0.8 ≤ q ≤ 1.0 show around 10 per cent increase of P from the initial plane probability to best-fitting probability and more prolate/oblate shapes have P increased by ∼20 per cent. Notable changes are only seen for planes not-aligned with the axes. For satellites on equatorial and polar planes in haloes with q = 0.6 oblateness, we can see only a 10 per cent increase between the probability of finding it on its original plane to being aligned with the best-fitting plane of the snapshot.

Part (b) of Table 3 calculates the average time we can see a satellite on the best-fitting planar formation during 5 Gyr. We see that the polar and equatorial satellites spend nearly all the 5 Gyr in a planar formation, which is larger than 10 satellites and has a thickness of ∼30  kpc. Inclined planes of haloes with 0.8 ≤ q ≤ 1.0 show that satellites stay in the planes at most 4 Gyr and at least around 2 Gyr. We can see that a group of satellites that start out on a plane stay in a planar formation for at least 2 out of 5 Gyr from its time of assembly, even when orbiting dark matter haloes as prolate as q = 0.6 and as oblate as q = 1.67. However, given that our satellites are confined to the plane due to their initial velocities, we can expect the satellites with non-zero perpendicular velocities to show a lower average time on their initial planes. It is important to note here that we are focusing on planes containing at least 30 per cent of the entire satellite galaxy population – it is likely that planar formations with a smaller number of satellites have a higher probability of being found, but their significance with respect to the rest of the population is smaller than what we can see in both observational examples of M31 and MW.

Normal vectors of best-fitting planes provide a more descriptive view of the orientation and time evolution of the best-fitting planes. Figs 5 and 6 show the normal direction average of the best-fitting plane for each snapshot in time for q = 0.8 and q = 0.6 in Aitoff projections. A colormap for normal vectors begins at 0 Gyr in red and proceeds on to blue as time goes to 5 Gyr. Fig. 5(a)-5(e) show little or no deviation of the normal vector from the initial position. This shows that a plane created at any inclination will only show slight deviation from its initial position through 5 Gyr in a spherical halo structure. The next set of figures representing more flatter halo (q = 0.6) in Figs. 6(a)-6(e) show that the normal vectors of the best-fitting planes have a much bigger spread in their directions, specially in the last 3 Gyr. The placements of normal vectors in the first 1–2 Gyr show a unidirectional time evolution that can visually seem like a ‘precessing plane’, but this can be attributed to the increasing thickness of the initial plane. Also, as best-fitting models will choose any satellite within the fitted plane range, it is unlikely that we are seeing the precession of a single plane. For every q ≤ 0.8 halo, the largest spread of normals over the Aitoff projection occurs at 45°. The planes are oriented in a more random manner as the flatness of the halo increases. Therefore, we cannot draw a conclusion on the precession of satellite planes in prolate/oblate haloes.

Variation of normals of best-fitting planes and their Aitoff projection – varying inclines for q = 0.8 of the M31 halo, for satellites with 109 M⊙ mass and 0 km s−1 perpendicular velocity.
Figure 5.

Variation of normals of best-fitting planes and their Aitoff projection – varying inclines for q = 0.8 of the M31 halo, for satellites with 109 M mass and 0 km s−1 perpendicular velocity.

Variation of normals of best-fitting planes and their Aitoff projection – varying inclines for q = 0.6 of the M31 halo, for satellites with 109 M⊙ mass and 0 km s−1 perpendicular velocity.
Figure 6.

Variation of normals of best-fitting planes and their Aitoff projection – varying inclines for q = 0.6 of the M31 halo, for satellites with 109 M mass and 0 km s−1 perpendicular velocity.

7 DISCUSSION

The above tests give us a view of how the stability of a satellite galaxy system in an M31-like potential is affected by a few fundamental factors. Apart from looking at the probability of seeing a satellite galaxy on a plane at a given time, we have calculated the average time a satellite galaxy spends as a part of a planar formation (Tables 23; using the same definition as previous tests).

7.1 Properties of satellite planes and their influences on stability

As far as the properties of the satellite galaxies are concerned, velocities perpendicular to the plane exert the most significant influence on the stability and longevity of the plane. Even our toy model of 30 satellite galaxies requires a perpendicular velocity spread σ ≤ 30  km s−1 (with μ = 0 km s−1) to produce a plane with at least 10 satellites, which survives a 5 Gyr orbital integration run. Without such a restricted velocity spread, planes tend to have a lifetime smaller than 2 Gyr. Exploration in Buck et al. (2015) of the kinematics of planes in ‘zoomed-in’ cosmological simulations states that around 25 per cent of satellite galaxies had very high velocity components perpendicular to the planar formation at the time of accretion. By results presented in this paper (particularly in Fig. 2), such high perpendicular velocities of the plane satellites are likely to produce short-lived planes.

All of our satellites are given the same mass. Varying this value shows (Fig. 3) that only the self-interaction of equal-mass satellites (in a spherical halo) is not enough to completely disperse a plane of satellites. For this to be apparent, all satellites need to be ∼1010  M. But M31 satellites are spread over a wide spectrum in mass and there are only a few galaxies that have a calculated total mass close to the 1010 M. These larger members may play a significant role in disrupting the plane, while smaller satellites (106, 107, 108  M) are likely to stay on an initially set plane for 5 Gyr. To consider this variation, we ran the same tests with a spectrum of masses for the satellites (from 106–1010  M). We observe that inclusion of satellite masses ≤5 × 109  M causes interactions that disrupt the orbits of the smaller or similar mass satellites. This results in planes with increased thickness and gives satellites a shorter average time on the planes. However, a plane of lower mass satellites (mass ≤109 M) will disperse at a lower perpendicular velocity limit than satellites with larger masses. Therefore, while plane perpendicular velocities influence the longevity of the plane, the satellite mass has an effect in altering the maximum perpendicular velocities required for stable formations.

Additionally, our results suggest that even satellite planes containing galaxies of total mass 109  M with a σ = 0 km s−1, need to be aligned with the host dark halo principal axes or to reside in haloes with a flatness ≤0.9 to remain stable through 5 Gyr. For haloes that show an extreme change in its spherical nature (q = 0.8 and 1.67 for prolate and oblate), satellites in planes that are inclined at 45° to the x-axis spend as little as 1 Gyr within the Drms = 15 kpc range of the initially set plane. When considering a purely observational arrangement by least-square fitting, where the satellites are seen in a plane by chance, an average satellite can be seen spending up to 2.5 Gyr of the total 5 Gyr on the best-fitting plane at each snapshot. This applies even for the most prolate/oblate haloes considered. Our results agree with Bowden et al. (2013) and their work on the quadrupole moment of the M31 dark matter haloes. Their test suggest the torque on their simulated plane of satellite galaxies results in a thicker distribution at the end of their 7 Gyr simulation. The final ‘disc height’ of satellites increased up to 25 kpc when the halo axes are misaligned with the stellar disc of M31 and the ‘disc of satellites’.

To place our simulations in context with observations, we changed our definition of a ‘satellite plane’ – increasing the threshold number from 10 to 15 out of 30. The trends that appear in the set of Figure set 4 are not changed, but exaggerated. The most notable change is that most initial formations (excluding those on θ = 0°, 90° planes) reach very low probability of existing as planes of 15 or more satellites (P ∼ 0.3), 0.5 –1.0 Gyr earlier than planes of 10 or more satellites. This gives a shorter lifetime for M31-like planes. Additionally, if we modify the plane-fitting function to fit the thickness of the M31 plane restrictions (a 14  kpc thickness instead of 30  kpc), the longevity of the non-aligned planes in non-spherical haloes will decline further by ∼0.5 Gyr for steeper inclines. Because keeping a larger (than 1/3) fraction of the entire satellite population for a 5 Gyr period is more probable in spherical haloes or axis-aligned planes, these results further support the possibility of a plane in M31 being closely aligned with an M31 dark halo axis.

Formation theories using tidal dwarf galaxies (Barnes & Hernquist 1992) as building blocks for these structures, a scenario explored by many (e.g. Hammer et al. 2013; Fouquet et al. 2013; Yang et al. 2014), also claim that older, higher concentration haloes are more likely to host satellite planes – where the structures themselves are formed quite early (≥5 Gyr ago). This allows for giant tidal streams to coalesce into the satellites that are seen today. Considering our results, given the non-alignment of the M31 stellar disc to the satellite plane and a predicted triaxial halo for M31, a plane surviving longer than 5 Gyr will require its satellite galaxies to maintain perpendicular velocities extremely restricted to the plane of galaxies. The question to ask is if the dynamic environments of tidal tails and accretions are capable of producing such restricted velocities. It is also difficult to make claims on tidal galaxies as origins of these planes from our numerical model. A shared origin would influence intrinsic properties such as velocity in tidal satellite galaxies, whereas our model's positions are chosen randomly and circular velocities are assigned to keep galaxies on their initially set planes. Our model also refers to planes that are already formed, and therefore cannot sufficiently speculate on formation of planes. Bowden et al. (2013) also consider misaligned planes as good tracers of the underlying dark matter structure. This, taken into consideration with the fact that the M31 plane forming ∼ 50° angle with the stellar disc of M31 creates another set of questions on the dark halo-stellar disc alignment of M31 and stability of the M31's VTPoS.

8 CONCLUSIONS

Explanations for the M31 plane of satellite galaxies have taken various avenues. By considering a numerical model of an M31 and MW potential, we conducted orbital integration on 30 satellite galaxies with varying environments and properties. We set satellite galaxies on an initial plane to calculate the probabilities for stability and longevity in a simulation time of 5 Gyr. The following properties were varied both individually and in combination: satellite velocities perpendicular to the plane, mass of the satellites, inclination of satellite plane to the triaxial host halo and the non-spherical nature of the host halo. From our findings so far, the following conclusions can be inferred by the statistics obtained from each set of simulations.

  1. A long-lived plane of satellite galaxies must be dynamically cold – with the magnitude of the velocity vector perpendicular to the plane being smaller than 20 km s−1. A satellite plane with a perpendicular velocity distribution with σ = 50 km s−1 disperses to contain about half the initial count of satellite galaxies in around 2 Gyr.

  2. The shape of the host haloes and the inclination of an initial plane of satellites, both impart great influence on the stability of the plane. Unless a host halo is nearly spherical, it is highly unlikely that a plane that is off a major or minor axis by an angle larger than 30° has existed for a period longer than 1 Gyr.

  3. There are no signs of precession of one single plane continuously over 1 Gyr. Best-fitting planes show that expanding planes might show precession-like movement, but no long-term order is found in even the simplest scenarios tested.

These deductions can provide insights into an M31-like system of satellites. It is unlikely that the plane of galaxies currently seen is very old (≤4 Gyr) unless the system has velocities restricted to the plane. If the proper motions of the satellites show a system with a large variation of velocities, we can conclude that the plane is a rather young formation that is dispersing or will do so in a short (galactic) time span. The unusual thinness of the M31 plane requires either an extraordinarily well-aligned initial plane of galaxies to be older than a few Gyr, or dictates that this is a rather recent formation.

The surrounding environment of dark matter subhaloes and interactions with them and perturbations by larger satellite galaxies of M31 (e.g. M33) will be addressed subsequently.

Acknowledgments

NF acknowledges the Dean's International Postgraduate Scholarship of the Faculty of Science, University of Sydney.

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