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Coherent Stellar Motion in Galactic Spiral Arms by Swing Amplification

Shugo Michikoshi Department for the Study of Contemporary Society, Kyoto Women’s University, Imakumano, Higashiyama, Kyoto, 605-8501, Japan [email protected] Eiichiro Kokubo Center for Computational Astrophysics, National Astronomical Observatory of Japan, Osawa, Mitaka, Tokyo 181-8588, Japan [email protected]
Abstract

We perform local NN-body simulations of disk galaxies and investigate the evolution of spiral arms. We calculate the time autocorrelation of the surface density of spiral arms and find that the typical evolution timescale is described by the epicycle period. We investigate the distribution of the orbital elements of stars and find that in spiral arms the epicycle motions of stars are in phase while the spatial distribution of the guiding center is nearly uniform. These facts clearly show that the phase synchronization of the epicycle motion takes place, which is theoretically predicted by the swing amplification.

galaxies: kinematics and dynamics, galaxies:spiral, method:numerical

1 Introduction

Galaxies with spiral arms are classified into three types: grand-design, multi-armed and flocculent galaxies. One of the models to explain these spiral arms is swing amplification (Goldreich & Lynden-Bell, 1965; Julian & Toomre, 1966; Toomre, 1981). In a galactic disk, a density pattern rotates from leading to trailing due to shear. If Toomre’s QQ is 121\mbox{--}2, a disk responses to small perturbations remarkably, in which the pattern amplitude can be significantly enhanced due to the self-gravity during rotation. This mechanism is called swing amplification (Toomre, 1981). Goldreich & Lynden-Bell (1965) investigated the swing amplification with the hydrodynamic model. Julian & Toomre (1966) adopted the collisionless Boltzmann equation model and investigated the similar phenomenon. They found that with a perturber such as the corotating over-dense region trailing patterns are excited even though the disk is stable to the axisymmetric perturbations.

The spirals generated by the swing amplification are not stationary but transient and recurrent, which appear and disappear continuously. This transient and recurrent picture is supported by NN-body simulations for multi-arm spirals (Sellwood & Carlberg, 1984; Toomre & Kalnajs, 1991; Baba et al., 2009; Sellwood, 2000, 2010; Fujii et al., 2011; D’Onghia et al., 2013). Since the swing amplification model is constructed based on the linear and local approximations (Julian & Toomre, 1966; Toomre, 1981), it is expected to be applicable to the spiral arms in multi-armed and flocculent galaxies.

In the series of our works, we have investigated the role of the swing amplification in spiral arm formation by the analytical model and NN-body simulations (Michikoshi & Kokubo, 2014, 2016a, 2016b, 2018) (Papers I, II, III, and IV). The recent researches suggest that the some aspects of the short-term activities cannot be explained only by the linear theory. For example, NN-body simulations showed that the overdense or underdense regions are formed by nonlinear interaction between transient spiral arms (D’Onghia et al., 2013; D’Onghia, 2015; Kumamoto & Noguchi, 2016). Nevertheless, the linear theory can capture some important aspects of the process. We have already confirmed that the quantitative predictions from the linear analytical model of the swing amplification agree well with NN-body simulations (Paper I, II, and, IV). A simple theoretical model of the swing amplification was proposed by Toomre (1981). Using this model, Michikoshi & Kokubo (2016b) (Paper III) investigated the swing amplification process in detail. They pointed out that the phase synchronization of the stellar epicycle motion is a key process to understand the swing amplification. Regardless of the initial phases of the epicycle motion, the phases are synchronized as the spirals are amplified. However, the phase synchronization has not yet been confirmed in NN-body simulations. The goal of this paper is to clarify the phase synchronization in NN-body simulations predicted in Paper III, which provides the evidence of the swing amplification.

Baba et al. (2013) performed the global NN-body simulations and investigated the generation and destruction processes of spiral arms. They extracted a typical spiral arm and analyzed the motion of stars in it. They found that the swing amplification plays an important role in the formation and destruction of spiral arms. We investigate the generation and destruction processes in local simulations in more detail. The local NN-body simulations can be directly compared with the model of swing amplification that is based on the local epicycle approximation (Julian & Toomre, 1966; Toomre, 1981). Furthermore in local NN-body simulations, we can easily analyze the evolution of the orbital elements of particles. This is helpful to understand the particle motion during the amplification process.

The outline of this paper is as follows. In Section 2, we summarize the calculation method. In Section 3, we present the results of simulations and show the phase synchronization due to the swing amplification. We examine the detailed amplification process. Section 4 is devoted for a summary.

2 Numerical Simulation

We perform local NN-body simulations of pure stellar disks with the epicycle approximation as in the previous works (Papers I and II). We briefly summarize the simulation method. In contrast to global NN-body simulations, in the local NN-body simulation, we consider a small rotating region by employing a local shearing box (e.g., Toomre & Kalnajs, 1991; Fuchs et al., 2005). Since we simulate only a part of the disk, we can perform high resolution simulations relatively easily.

We adopt a local Cartesian coordinate system (x,y,zx,y,z), whose origin revolves around the galactic center with the circular frequency Ω\Omega. The xx-axis is directed radially outward, the yy-axis is parallel to the direction of rotation, and the zz-axis is normal to the xx-yy plane. We consider a small computational domain on the galactic midplane with the size LxL_{x} and LyL_{y}, where LxL_{x} and LyL_{y} are the lengths in the xx and yy directions, respectively. The center of the computational box is located at the origin of the local Cartesian coordinate system. We assume that the box size is sufficiently shorter than the galactocentric distance, that is Lx,LyaL_{x},L_{y}\ll a where aa is the galactocentric distance of the computational domain. In the epicycle approximation, we neglect the higher order terms with respect to xx, yy, and zz, and obtain the approximated equation of motion for star ii as

d2xidt2\displaystyle\frac{\mathrm{d}^{2}x_{i}}{\mathrm{d}t^{2}} =\displaystyle= 2Ωdyidt+(4Ω2κ2)xi+jiNGm(xjxi)(rij2+ϵ2)3/2,\displaystyle 2\Omega\frac{\mathrm{d}y_{i}}{\mathrm{d}t}+\left(4\Omega^{2}-\kappa^{2}\right)x_{i}+\sum_{j\neq i}^{N}\frac{Gm(x_{j}-x_{i})}{(r_{ij}^{2}+\epsilon^{2})^{3/2}}, (1)
d2yidt2\displaystyle\frac{\mathrm{d}^{2}y_{i}}{\mathrm{d}t^{2}} =\displaystyle= 2Ωdxidt+jiNGm(yjyi)(rij2+ϵ2)3/2,\displaystyle-2\Omega\frac{\mathrm{d}x_{i}}{\mathrm{d}t}+\sum_{j\neq i}^{N}\frac{Gm(y_{j}-y_{i})}{(r_{ij}^{2}+\epsilon^{2})^{3/2}}, (2)
d2zidt2\displaystyle\frac{\mathrm{d}^{2}z_{i}}{\mathrm{d}t^{2}} =\displaystyle= ν2zi+jiNGm(zjzi)(rij2+ϵ2)3/2,\displaystyle-\nu^{2}z_{i}+\sum_{j\neq i}^{N}\frac{Gm(z_{j}-z_{i})}{(r_{ij}^{2}+\epsilon^{2})^{3/2}}, (3)

where GG is the gravitational constant, mm is the stellar mass, rijr_{ij} is the distance between stars ii and jj, and κ\kappa is the epicycle frequency (e.g., Toomre, 1981; Toomre & Kalnajs, 1991; Kokubo & Ida, 1992; Fuchs et al., 2005; Michikoshi & Kokubo, 2014, 2016a). We assume that all stars have the same mass. The frequency ν\nu is the frequency of the vertical motion and we adopt ν=3Ω\nu=3\Omega. The length scale ϵ\epsilon is the softening parameter of the gravity and we adopt ϵ=rt/4\epsilon=r_{\mathrm{t}}/4 where rtr_{\mathrm{t}} is the tidal radius of a star (e.g., Kokubo & Ida, 1992; Michikoshi & Kokubo, 2014)

rt=(2mG4Ω2κ2)1/3.r_{\mathrm{t}}=\left(\frac{2mG}{4\Omega^{2}-\kappa^{2}}\right)^{1/3}. (4)

We solve the equation of motion considering the shearing periodic boundary. The size of the computational domain LxL_{x} and LyL_{y} should be larger than the typical length scale of spiral arms. In this system, the typical length scale is the critical wavelength of the gravitational instability, (Toomre, 1964)

λcr=4π2GΣ0κ2,\lambda_{\mathrm{cr}}=\frac{4\pi^{2}G\Sigma_{0}}{\kappa^{2}}, (5)

where Σ0\Sigma_{0} is the initial averaged surface density of stars. We adopt Lx=Ly=L=15λcrL_{x}=L_{y}=L=15\lambda_{\mathrm{cr}}. The number of stars is N=9.0×105N=9.0\times 10^{5}.

With the number of stars in λcr2\lambda_{\mathrm{cr}}^{2}, NcN_{\mathrm{c}}, Σ0=mNc/λcr2\Sigma_{0}=mN_{\mathrm{c}}/\lambda_{\mathrm{cr}}^{2}. In this paper, Nc=4000N_{\mathrm{c}}=4000. Substituting Σ0\Sigma_{0} into Equation (5) we obtain λcr=(4π2GmNc/κ2)1/3\lambda_{\mathrm{cr}}=(4\pi^{2}GmN_{\mathrm{c}}/\kappa^{2})^{1/3}. Thus, the ratio of the tidal radius to the critical wavelength is

rtλcr=(12π2Ncκ24Ω2κ2)1/3.\frac{r_{\mathrm{t}}}{\lambda_{\mathrm{cr}}}=\left(\frac{1}{2\pi^{2}N_{\mathrm{c}}}\frac{\kappa^{2}}{4\Omega^{2}-\kappa^{2}}\right)^{1/3}. (6)

This ratio depends on κ/Ω\kappa/\Omega and takes 0.0160.0490.016\mbox{--}0.049 for κ/Ω=1.01.9\kappa/\Omega=1.0\mbox{--}1.9. The tidal radius is much shorter than the critical wavelength.

The initial radial velocity dispersion σx\sigma_{x} is set so that the initial Toomre’s QQ is Qini=1.2Q_{\mathrm{ini}}=1.2 where

Qini=σxκ3.36GΣ0,Q_{\mathrm{ini}}=\frac{\sigma_{x}\kappa}{3.36G\Sigma_{0}}, (7)

(Toomre, 1964). The epicycle frequency is a parameter. We adopt κ/Ω=1.0\kappa/\Omega=1.0 (model k0), 1.11.1 (model k1), 1.21.2 (model k2), \cdots, 1.81.8 (model k8). The shear rate is given by

Γ=2κ22Ω2.\Gamma=2-\frac{\kappa^{2}}{2\Omega^{2}}. (8)

The fiducial model is model k4, whose shear rate is about 1.021.02.

Initially xx and yy positions of stars are distributed randomly. The vertical distribution of stars is determined so that it is consistent with the initial QQ value.

The equation of motion for each star is integrated using a second-order leapfrog integrator with time-step ΩΔt/2π=1/200\Omega\Delta t/2\pi=1/200. The self-gravity of stars is calculated using the special-purpose computer, GRAPE-DR (Makino et al., 2007).

3 Results

3.1 Lifetime of Spiral Arms

First, we examine the typical evolution of structures. Initially the surface density is almost uniform but includes the small density fluctuation due to the particle noise. Thus, the density fluctuation can grow by the self-gravity. In any model, the density structures appear readily.

In the fiducial model (model k4), at Ωt/2π=0.5\Omega t/2\pi=0.5, the trailing structures are generated spontaneously, which correspond to the spiral arms. Figure 1 presents the surface density at Ωt/2π=1.5\Omega t/2\pi=1.5. We find the clear trailing structures with pitch angle of about 2020^{\circ}. The separations between spiral arms in the xx and yy directions is roughly λcr\sim\lambda_{\mathrm{cr}} and 2λcr\sim 2\lambda_{\mathrm{cr}}, respectively. These results are consistent with the swing amplification model as shown in Papers I and II.

These spiral structures are not steady but transient and recurrent, which are generated and destroyed continuously. This activity continues throughout the simulation time. This behaviour has been observed in the local simulations (Toomre & Kalnajs, 1991, Paper I) and the global simulations (Sellwood & Carlberg, 1984; Baba et al., 2009; Sellwood, 2000, 2010; Fujii et al., 2011). Since the properties of these structures do not change during Ωt/2π=1.05.0\Omega t/2\pi=1.0\mbox{--}5.0, in the following we analyze the spiral arms during this period.

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Figure 1: Snapshot of the surface density at Ωt/2π=1.5\Omega t/2\pi=1.5 for model k4. The surface density is normalized by Σ0\Sigma_{0}.

In order to analyze the averaged time-evolution of various quantities, at first we introduce the time average over TT of the space-time cross-correlation of quantity ff with Σ\Sigma as

f(x,y,s)=1TΣ0L2f(x+x,y+y2Axs,t+s)Σ(x,y,t)dxdydt,\langle f\rangle(x,y,s)=\frac{1}{T\Sigma_{0}L^{2}}\int\!\!\!\int\!\!\!\int f(x^{\prime}+x,y^{\prime}+y-2Ax^{\prime}s,t^{\prime}+s)\Sigma(x^{\prime},y^{\prime},t^{\prime})\mathrm{d}x^{\prime}\mathrm{d}y^{\prime}\mathrm{d}t^{\prime}, (9)

where ss is the lag for space-time cross-correlation. This function means the correlation between Σ\Sigma and ff at two different times and points, which traces the typical time evolution of ff around the overdense region. It should be noted that in this formulation the shear motion is taken into account. Because the averaged velocity of the focused region in the yy direction is given by the shear velocity 2Ax-2Ax^{\prime}, the typical displacement of the region in the yy direction during time ss is expected to be 2Axs-2Ax^{\prime}s, where AA is Oort’s AA constant. Thus we introduce the offset 2Axs-2Ax^{\prime}s into the yy component.

Choosing f=Σ/Σ01f=\Sigma/\Sigma_{0}-1, we define the space-time autocorrelation as

η(x,y,s)=ΣΣ01(x,y,s),\eta(x,y,s)=\left\langle\frac{\Sigma}{\Sigma_{0}}-1\right\rangle(x,y,s), (10)

which shows the typical evolution of the surface density fluctuation around the overdense region. Setting x=y=0x=y=0, we obtain the time autocorrelation function as

Ψ¯(s)=η(0,0,s),\bar{\Psi}(s)=\eta(0,0,s), (11)

which means the typical time evolution at the center of the overdense region.

The time autocorrelation functions for models k0, k4, and k8 are shown in Figure 2. The time autocorrelation decreases with increasing ss. This means that the overdense region declines with time. We find the local minimum and the local maximum. On average the density at an overdense region tends to increase again after its first decay, which seems to be a damped oscillation (Julian & Toomre, 1966).

The damping time of the time autocorrelation function is the typical timescale of the activity of spiral arms. We define smins_{\mathrm{min}} as the time when Ψ¯\bar{\Psi} takes the first local minimum. Similarly we define smaxs_{\mathrm{max}} as the time when Ψ¯\bar{\Psi} reaches the local maximum after smins_{\mathrm{min}}. The dependencies of smins_{\mathrm{min}} and smaxs_{\mathrm{max}} on κ/Ω\kappa/\Omega are summarized in Figure 3. Both smins_{\mathrm{min}} and smaxs_{\mathrm{max}} decrease with increasing κ/Ω\kappa/\Omega. We compare them with two dynamical timescales, the epicycle period te=2π/κt_{\mathrm{e}}=2\pi/\kappa and the shear timescale ts=1/(2A)t_{\mathrm{s}}=1/(2A). If the spiral arms are destroyed by the shear or the tidal force, it is expected that the damping time is characterized by the shear timescale. However, the shear timescale increases with κ/Ω\kappa/\Omega, and its dependence on κ/Ω\kappa/\Omega is completely different from those of smins_{\mathrm{min}} and smaxs_{\mathrm{max}}. On the other hand, the epicycle period decreases with increasing κ/Ω\kappa/\Omega, which has a similar dependence to smins_{\mathrm{min}} and smaxs_{\mathrm{max}}. Thus the epicycle motion relates to generation and destruction processes.

The time autocorrelation function evolves like a damped oscillation. This is consistent with the swing amplification model discussed in Paper III (Julian & Toomre, 1966). The elementary process of the swing amplification is the phase synchronization of the epicycle motion. Therefore, the timescale of the spiral activity is also described by the epicycle period.

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Figure 2: Averaged time autocorrelation function of the surface density Ψ¯\bar{\Psi} for κ/Ω=1.0\kappa/\Omega=1.0 (model k0) (solid), 1.41.4 (model k4) (dashed) and 1.81.8 (model k8) (dotted).
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Figure 3: Local minimum time smins_{\mathrm{min}} (plus) and local maximum time smaxs_{\mathrm{max}} (circle) of the time autocorrelation function as a function of κ/Ω\kappa/\Omega. The solid and dashed curves show the epicycle period tet_{\mathrm{e}} and the shear time tst_{\mathrm{s}}, respectively.

3.2 Phase Synchronization of Epicycle Motion

If we neglect the self-gravity of stars, the motion of a star is separated into two components: a guiding center and an epicycle, which are given as (e.g., Binney & Tremaine, 2008)

x\displaystyle x =\displaystyle= xgxacosϕ,\displaystyle x_{\mathrm{g}}-x_{\mathrm{a}}\cos\phi, (12)
y\displaystyle y =\displaystyle= yg+2xaΩκsinϕ,\displaystyle y_{\mathrm{g}}+\frac{2x_{\mathrm{a}}\Omega}{\kappa}\sin\phi, (13)

where (xg,yg)(x_{\mathrm{g}},y_{\mathrm{g}}) is the position of the guiding center, xax_{\mathrm{a}} is the amplitude of the epicycle oscillation, and ϕ\phi is its phase. The xx component of the guiding center xgx_{\mathrm{g}} remains constant while its yy component ygy_{\mathrm{g}} is given as

yg=2Atxg+yg0,y_{\mathrm{g}}=-2Atx_{\mathrm{g}}+y_{\mathrm{g0}}, (14)

where yg0y_{\mathrm{g0}} is the initial yy component of the guiding center. The phase ϕ\phi varies with time as

ϕ=κtϕ0,\phi=\kappa t-\phi_{0}, (15)

where ϕ0\phi_{0} is the initial phase. Using Equations (12), (13) and (14) we can calculate xg,yg,ϕx_{\mathrm{g}},y_{\mathrm{g}},\phi and xax_{\mathrm{a}} from the position (x,y)(x,y) and velocity (dx/dt,dy/dt)(\mathrm{d}x/\mathrm{d}t,\mathrm{d}y/\mathrm{d}t).

We divide the computational domain into 150×150150\times 150 cells. Selecting the stars whose guiding centers are in each cell, we calculate the average of the relative position of stars to their guiding centers (xxg,yyg)(x-x_{\mathrm{g}},y-y_{\mathrm{g}}) and the corresponding phase ϕ¯\bar{\phi} from

tanϕ¯=κ2Ωyygxxg,\tan\bar{\phi}=-\frac{\kappa}{2\Omega}\frac{\langle y-y_{\mathrm{g}}\rangle}{\langle x-x_{\mathrm{g}}\rangle}, (16)

where angle brackets denote the average in each cell.

Figure 4 shows the surface densities of stars Σ\Sigma and their guiding centers Σg\Sigma_{\mathrm{g}} and ϕ¯\bar{\phi}. At t=0t=0, because the stars are distributed uniformly, in other words, their guiding centers and epicycle phases are given randomly, Σ\Sigma, Σg\Sigma_{\mathrm{g}} and ϕ¯\bar{\phi} have no structure completely. After that, the gravitational instability takes place and the spatial structure appears. At Ωt/2π=2.0\Omega t/2\pi=2.0, Σ\Sigma and ϕ¯\bar{\phi} show trailing structures, while Σg\Sigma_{\mathrm{g}} is nearly uniform. At Ωt/2π=4.0\Omega t/2\pi=4.0, basically the structure remains the same. These results clearly show that the phase synchronization of the epicycle motion enhances the surface density of stars in the spiral arms. During the phase synchronization the spatial distribution of the guiding centers is kept almost uniform since their change is not significant.

Σ\Sigma

Ωt/2π=0.0\Omega t/2\pi=0.0

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Ωt/2π=2.0\Omega t/2\pi=2.0

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Ωt/2π=4.0\Omega t/2\pi=4.0

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Σg\Sigma_{\mathrm{g}}

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ϕ¯\bar{\phi}

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Figure 4: Surface densities of stars Σ\Sigma (top) and their guiding center Σg\Sigma_{\mathrm{g}} (middle) normalized by Σ0\Sigma_{0} and the epicycle phase ϕ¯\bar{\phi} (bottom) at Ωt/2π=0.0\Omega t/2\pi=0.0 (left), Ωt/2π=2.0\Omega t/2\pi=2.0 (middle), and Ωt/2π=4.0\Omega t/2\pi=4.0 (right) for model k4.

3.3 Stellar Motion in Spiral Arms

The stellar motion in spiral arms is important to understand generation and destruction processes of spiral arms (Baba et al., 2013). We extract a typical spiral arm and investigate dynamics of stars in it.

We search the highest surface density cell at Ωt/2π=4.0\Omega t/2\pi=4.0 for model k4, which is located at (x,y)=(1.25λcr,0.75λcr)(x,y)=(1.25\lambda_{\mathrm{cr}},-0.75\lambda_{\mathrm{cr}}). Next we extract the group of the high density cells with Σ/Σ0>1.4\Sigma/\Sigma_{0}>1.4 that include the highest surface density cell and connect to each other. These cells consist of the amplified spiral arms. We investigate the motion of stars in this region. Figure 5C shows these stars at Ωt/2π=4.0\Omega t/2\pi=4.0. The stars are separated into 7 groups by their xx position and we distinguish them by color.

Figure 5 shows the spatial distribution of the selected stars at Ωt/2π=3.64.4\Omega t/2\pi=3.6\mbox{--}4.4. At Ωt/2π=3.6\Omega t/2\pi=3.6 (Fig. 5A), the stars are scattered in the leading pattern. Although they diffuse in some degree, we can see the coherency of stars. At Ωt/2π=3.8\Omega t/2\pi=3.8 (Fig. 5B), they come close to the center. The width in the xx direction becomes small. At Ωt/2π=4.0\Omega t/2\pi=4.0 (Fig. 5C), they concentrates on the spiral arm, which show the clear trailing pattern. At Ωt/2π=4.4\Omega t/2\pi=4.4 (Fig. 5D), the width of the pattern widens and the density decreases finally. During the rotation of the pattern from leading to trailing, the density is enhanced. The rotation of the pattern and the density enhancement coincide, which is consistent with the swing amplification mechanism.

(A) Ωt/2π=3.6\Omega t/2\pi=3.6

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(B) Ωt/2π=3.8\Omega t/2\pi=3.8

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(C) Ωt/2π=4.0\Omega t/2\pi=4.0

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(D) Ωt/2π=4.4\Omega t/2\pi=4.4

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Figure 5: Stars in the amplified spiral arms at Ωt/2π=3.6\Omega t/2\pi=3.6, 3.83.8, 4.04.0, and 4.44.4 for model k4. The color shows groups classified by their position at Ωt/2π=4.0\Omega t/2\pi=4.0. The position xx and yy is relative position to the center of the focusing spiral. The grey scale map denotes the surface density normalized by Σ0\Sigma_{0}.

Figure 6 shows the evolution of the averaged xx position of the stars and their guiding centers of each group. The variations of the guiding centers are smaller than those of their positions. This is consistent with the fact that the guiding center distribution remains uniform although the spiral arms are generated as discussed in Section 3.2. To clarify the amplification, we examine the evolution of the amplitudes of the epicycle and vertical motion. The amplitude of the epicycle motion xax_{\mathrm{a}} is defined in Equation (13), and that of the vertical motion zaz_{\mathrm{a}} is defined by

z=zacos(νt+ψ0),z=z_{\mathrm{a}}\cos(\nu t+\psi_{0}), (17)

where ψ0\psi_{0} is the phase of the vertical motion at t=0t=0. We introduce xa,rmsx_{\mathrm{a},\mathrm{rms}} and za,rmsz_{\mathrm{a},\mathrm{rms}}, that are the root mean squares of xax_{\mathrm{a}} and zaz_{\mathrm{a}}, respectively. Figure 7 displays the time evolution of xa,rmsx_{\mathrm{a},\mathrm{rms}} and za,rmsz_{\mathrm{a},\mathrm{rms}}. We find that is the largest xa,rmsx_{\mathrm{a},\mathrm{rms}} around Ωt/2π=4\Omega t/2\pi=4. Thus the density enhancement and the increase of the epicycle amplitude coincide. This is consistent with the swing amplification model. On the other hand, the za,rmsz_{\mathrm{a},\mathrm{rms}} barely changes during the amplification. In the swing amplification model, the motion in the zz direction is not considered. The numerical simulation shows that this treatment is valid. The swing amplification is essentially two-dimensional phenomenon.

To examine the phase synchronization, we consider the displacement from the guiding center δx=xxg\delta x=x-x_{\mathrm{g}} and δy=yyg\delta y=y-y_{\mathrm{g}}. If the epicyclic oscillation is uniform, the average of δx\delta x and δy\delta y should be zero. We define δx¯\overline{\delta x} and δy¯\overline{\delta y} as the average of δx\delta x and δy\delta y in each group, respectively. The absolute values of these quantities show the degree of the phase synchronization. If the epicycle phases of stars are not synchronized, these are close to 0. In Figure 8, some groups show the upward trend while the other groups shows the downward trend. Before the density is amplified (Ωt/2π<3.8\Omega t/2\pi<3.8), |δx¯|0.05|\overline{\delta x}|\lesssim 0.05 and |δy¯|0.07|\overline{\delta y}|\lesssim 0.07. Thus, the phase in each group is not well synchronized. After the density amplification (Ωt/2π>4\Omega t/2\pi>4), |δx¯||\overline{\delta x}| and |δy¯||\overline{\delta y}| in each group increase up to 0.13. Thus, the phase in each group is synchronized after the amplification.

As discussed above the stars gather in the xx direction and the width of the spiral arm shrinks in Figure 5 when the density gets enhanced (Ωt/2π=3.84.2\Omega t/2\pi=3.8\mbox{--}4.2). This behavior cannot be understood by the previous analytical works based on the linear theory (Toomre, 1981, Paper IV). In their analytical works, the density enhancement is caused by the displacement normal to a spiral arm. Thus, the averaged displacement of all stars parallel to a pattern is zero. This discrepancy between the simulations and the analytical analyses suggests the importance of the finite length of spiral arms.

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Figure 6: Mean xx position of the selected stars (solid) and the average xx position of their guiding centers (dashed). The color shows groups as in Figure 5.
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Figure 7: Time evolution of the root mean squares of the epicycle and vertical motions xa,rmsx_{\mathrm{a},\mathrm{rms}} and za,rmsz_{\mathrm{a},\mathrm{rms}}. The color shows groups as in Figure 5. The black curve shows the average of all groups.

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Figure 8: Time evolution of δx¯\overline{\delta x} (left panel) and δy¯\overline{\delta y} (right panel). The color shows groups as in Figure 5.

3.4 Formation and Destruction of Spiral Arms

In order to analyze the typical spiral evolution, we use the space-time autocorrelation given by Equation (10). Figure 9 shows the space-time autocorrelation function at Ωs/2π=0.90,0.60,0.30,0.00,0.30,\Omega s/2\pi=-0.90,-0.60,-0.30,0.00,0.30, and 0.600.60. At Ωs/2π=0.90\Omega s/2\pi=-0.90, we can observe the faint leading structure. The overdense region has the leading structure before the density enhancement. Because of the shear, the pitch angle increases gradually. At Ωs/2π=0.60\Omega s/2\pi=-0.60, there are two overdense regions at the both ends of the leading structure. Each overdense region has the dim trailing tails. At Ωs/2π=0.30\Omega s/2\pi=-0.30, although the pitch angle at the center is quite large, it has already trailing tails. At Ωs/2π=0.0\Omega s/2\pi=0.0, the spiral arms are amplified to the maximum, and the structure is almost along the line. After the amplification, the amplitude begins to decrease. At Ωs/2π=0.3\Omega s/2\pi=0.3, the spiral structure bends at the center, that is, the pitch angle at the center is larger than those in the tails. At Ωs/2π=0.6\Omega s/2\pi=0.6, the spiral structure splits into two halves and the narrow leading structure develops.

The amplification processes in the numerical simulation and the analytical analyses share the basic fact that the amplification occurs while the pattern rotates from leading to trailing. However, the overall process depicted here is somewhat different from the behavior considered in the analytical analyses. In the analytical analyses, we consider only the rotating single wave and do not consider the structure parallel to the wave. It seems that the leading pattern forms from the interaction between two trailing spiral arms.

Ωs/2π=0.90\Omega s/2\pi=-0.90

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Ωs/2π=0.60\Omega s/2\pi=-0.60

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Ωs/2π=0.30\Omega s/2\pi=-0.30

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Ωs/2π=0.00\Omega s/2\pi=0.00

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Ωs/2π=0.30\Omega s/2\pi=0.30

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Ωs/2π=0.60\Omega s/2\pi=0.60

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Figure 9: Space-time autocorrelation function η\eta at Ωs/2π=0.90\Omega s/2\pi=-0.90, 0.60-0.60, 0.30-0.30, 0.000.00, 0.300.30, and 0.600.60 for model k4 (from top left to bottom right).

In order to elucidate the physical process in more detail, we investigate the evolution of the displacement from the guiding center and the relative velocity to the guiding center using Equation (9). We calculate the displacement vector from the guiding center by xxg(x,y,s)\langle x-x_{\mathrm{g}}\rangle(x,y,s) and yyg(x,y,s)\langle y-y_{\mathrm{g}}\rangle(x,y,s) and the relative velocity to the guiding center by vx(x,y,s)\langle v_{x}\rangle(x,y,s) and vy+2Axg(x,y,s)\langle v_{y}+2Ax_{\mathrm{g}}\rangle(x,y,s), and show them in Figure 10. At Ωs/2π=0.4\Omega s/2\pi=-0.4, we can see the leading structure. In this case, the rotation of the pattern cancels out that of the coordinate system. In the comoving frame of the leading pattern, the stabilizing effect due to rotation weakens. Thus, the stars are pulled towards the center of the density pattern, and the relative velocity is almost parallel to the leading pattern. The stars move along the density pattern and the two density peaks come close to each other. Note that, this behavior is unpredictable by the analytical theory of the swing amplification. Since, in the analytical theory, we postulate the infinite plane wave that has no structure in the direction parallel to the wave, the resulting perturbed flow towards the density peak is perpendicular to the wave. At Ωs/2π=0.2\Omega s/2\pi=-0.2, the significant density enhancement takes place due to the flow towards the density peak. Due to the Coriolis force, the velocity field rotates in the anticlockwise direction around the density peak. At the same time, the long trailing tail from the density peak appears. At Ωs/2π=0.0\Omega s/2\pi=0.0, the clear trailing pattern appears. The displacement from the guiding center has a convergent field towards the density peak. This indicates that the phase synchronization causes the density enhancement. On the other hand, the corresponding velocity field rotates in the anticlockwise direction around the density peak. Hence, around the density peak the region where y>0y>0 moves to the left and the region where y<0y<0 moves to the right. At Ωs/2π=0.4\Omega s/2\pi=0.4, this anti-parallel motion splits the trailing pattern into two halves.

Ωs/2π=0.40\Omega s/2\pi=-0.40

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Ωs/2π=0.20\Omega s/2\pi=-0.20

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Ωs/2π=0.00\Omega s/2\pi=0.00

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Ωs/2π=0.40\Omega s/2\pi=0.40

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Figure 10: Cross-correlation function of the surface density and the displacement from the guiding center (green arrows) and the relative velocity to the guiding center (white arrows) at Ωs/2π=0.40,0.20,0.00,\Omega s/2\pi=-0.40,-0.20,0.00, and 0.400.40 for model k4 (from top left to bottom right). The color map denotes the space-time autocorrelation function of the surface density as in Figure 9, and the solid curves denote its contours.

4 Summary

We have performed local NN-body simulations of galactic spiral arms and investigated their amplification process in detail. Using the time autocorrelation function, we estimated the typical lifetime of spiral arms. The dependence of the damping time of spiral arms on the epicycle frequency κ\kappa is consistent with the epicycle period. This indicates that the generation and destruction of spiral arms is ascribable to the epicycle motion.

In Michikoshi & Kokubo (2016b) (Paper III), from the theoretical perspective, we pointed out that the phase synchronization of the epicycle motion would play an important role in the density amplification. We investigated the spatial distribution of orbital elements of stars and found that the epicycle phase is synchronized in spiral arms while the guiding center distribution is uniform (Figure 4).

In order to understand the amplification mechanism in detail, we performed the delayed spatial autocorrelation analyses. This shows the typical evolution of the surface density around the overdense regions. The leading pattern appears before the density is amplified, which is consistent with the analytical theory. In the leading pattern, stars move to the center because particles are pulled towards the center of the pattern. Such a behaviour is not assumed in the analytical works based on the linear analysis because their analyses postulate a infinite plane wave. The Coriolis force changes this convergent flow into the anticlockwise rotational flow. When the pattern is most amplified, the clear anticlockwise flow occurs. Thus, in the pattern, anti-parallel flow arises, which splits the pattern into two halves. The results of NN-body simulations indicate the importance of the finite length of spiral arms.

As shown in Figures 9 and 10, two swarms of stars appear before and after the amplification. Thus, the basic picture of the amplification can be interpreted as the two-body interaction of the swarms. We consider two swarms whose galactocentric distances are different. Due to the shear, they come close to each other. As the distance between them becomes small, the self-gravity between them becomes strong. Then the epicycle motion is excited to approach to each other. The swarms collide with each other and one large swarm forms. The large swarm deforms to a trailing pattern with increasing the density. Because the system is collisionless, each swarm continues the epicycle motion. After half an epicycle period, the two swarms separate away. Then the spiral arms are destroyed. The remaining swarms interact with another swarm and continue the spiral activity. This may be an elementary process for the formation of recurrent and transient spiral arms.

Acknowledgement

Numerical computations were carried out on GRAPE system at Center for Computational Astrophysics, National Astronomical Observatory of Japan. S. Michikoshi is supported by JSPS KAKENHI Grant Number 17K14378. E. K. is supported by JSPS KAKENHI Grant Number 18H05438.

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