-
PDF
- Split View
-
Views
-
Cite
Cite
Tomohisa Kawashima, Yosuke Matsumoto, Ryoji Matsumoto, A possible time-delayed brightening of the Sgr A* accretion flow after the pericenter passage of the G2 cloud, Publications of the Astronomical Society of Japan, Volume 69, Issue 3, June 2017, 43, https://doi.org/10.1093/pasj/psx015
- Share Icon Share
Abstract
A possibility of time-delayed radio brightenings of Sgr A* triggered by the pericenter passage of the G2 cloud is studied by carrying out global three-dimensional magnetohydrodynamic simulations, taking into account the radiative cooling of the tidal debris of the G2 cloud. Magnetic fields in the accretion flow are strongly perturbed and reorganized after the passage of G2. We have found that the magnetic energy in the accretion flow increased by a factor of 3–4 in 5–10 yr after the passage of G2 through a dynamo mechanism driven by the magneto-rotational instability. Since this B-field amplification enhances the synchrotron emission from the disk and the outflow, the radio and the infrared luminosity of Sgr A* are expected to increase some time, around 2020. The time delay of the radio brightening enables us to determine the rotation axis of the preexisting disk.
1 Introduction
The pericenter passage of an object named G2 close to the Galactic center black hole (BH) Sgr A* (Gillessen et al. 2012) was expected to enhance the activity of Sgr A* by supplying tidally stripped gas to the BH. The distance of its pericenter from the Galactic center BH is only ∼2 × 103 rs (Gillessen et al. 2013a, 2013b), where rs is the Schwarzschild radius. Br-γ observations indicate that the size of G2 is ∼15 mas, i.e., ∼103 rs, which is as large as its pericenter distance. The estimated mass of the gas component of G2 is ∼3 M⊕, which is comparable to that of the Sgr A* accretion flow, i.e., a hot accretion flow onto the Galactic center BH (for hot accretion flows, see Kato et al. 2008; Yuan & Narayan 2014, and references therein). G2 was, therefore, expected to affect the dynamics of the Sgr A* accretion flow and trigger a flare. However, no brightening event induced by the pericenter approach of G2 has been observed in Sgr A* (Tsuboi et al. 2015; Bower et al. 2015).
After the discovery of G2, a number of numerical simulations have been performed (Burkert et al. 2012; Schartmann et al. 2012; Sa̧dowski et al. 2013; Abarca et al. 2014; Saitoh et al. 2014). Most of these simulations did not take into account magnetic fields, despite their important roles in accretion processes (e.g., Balbus & Hawley 1991; Brandenburg et al. 1995; Matsumoto 1999; Hawley 2000; McKinney et al. 2012). Sa̧dowski et al. (2013) carried out three-dimensional (3D) general relativistic magnetohydrodynamic (MHD) simulations in order to study the shock structure at which the electrons may be accelerated during the pericenter passage of the G2 cloud. Long-term MHD simulations of the G2 cloud, however, have not yet been carried out, although it is necessary to explore the future brightening of Sgr A*.
In this paper, we present the possibility of the time-delayed amplification of magnetic fields and subsequent accretion by carrying out longer timescale 3D MHD simulations of a hot accretion flow impacted by a cloud. Since the gas supplied by the cloud needs several rotation periods at the pericenter to settle into a rotating torus, and typically 10 rotation periods for the reorganization of the magnetic fields, it takes 5–10 yr until the magnetic fields are reamplified by the dynamo action driven by the magneto-rotational instability (MRI). Therefore, in order to study the possibility of time-delayed brightening, we need to carry out MHD simulations for timescales of a decade. This is the motivation for this paper.
It is still controversial whether or not G2 harbors a star in its center: Pfuhl et al. (2015) observed G2 in the infrared band using SINFONI and proposed that G2 is a pure gas clump, which is possibly formed from a gas stream around Sgr A*, while Witzel et al. (2014) observed G2 in the L΄ band using the Keck Observatory and proposed that G2 harbors a star because the size of the dust of G2 does not change during its pericenter passage. For simplicity, we assume pure gas clouds in this paper. This assumption should be reasonable, partly because a tidally disrupted gas feature is evident in the p–v diagram (Pfuhl et al. 2015), and partly because the size of the region where the gravity of the central star dominates that of the Galactic center BH is only ∼1% of the estimated cloud size (Witzel et al. 2014), so that we can neglect the effect of the central star even if it exists.
2 Simulation model
We carry out global 3D simulations by using the newly developed MHD code CANS+ (Matsumoto et al. 2016). The code is based on the HLLD approximate Riemann solver proposed by Miyoshi and Kusano (2005). In order to preserve monotonicity and to achieve high-order accuracy in space, we employ a monotonicity-preserving fifth-order accurate interface value reconstruction method, MP5 (Suresh & Huynh 1997). A third-order total-variation-diminishing Runge–Kutta method is used for the time integration. We adopt the hyperbolic divergence cleaning method (Dedner et al. 2002) in order to minimize numerical errors in the divergence-free condition of the magnetic field.
The number of computational cells is (Nϖ, Nφ, Nz) = (256, 128, 320). The cell size is constant in the inner region: Δϖ = Δz = 30 rs for 0 < ϖ < ϖ0 and |z| < ϖ0. Here, ϖ0 is the location of the pressure maximum of the initial torus, which we set at ϖ0 ≡ 3 × 103 rs. Outside this region, Δϖ and Δz increase with ϖ and z: Δϖn = min(1.05Δϖn−1, Δϖmax), Δzn = min(1.05Δzn−1, Δzmax) for z > 0, and Δzn = min(1.05Δzn+1, Δzmax) for z < 0. Here, n denotes the sequential cell number, and Δϖmax and Δzmax are set to 200 rs. In the azimuthal direction, the cell size is set to constant, i.e., Δφ = (2π/Nφ). The computational domain is, thus, 0 ≤ ϖ ≤ 4.323 × 104 rs, 0 ≤ φ ≤ 2π, and |z| ≤ 2.778 × 104 rs. A spherical absorbing inner boundary is imposed at rin = 450 rs, i.e., the physical quantity q is approximated by q = q΄ − c΄(q΄ − q0) if their cell centers are inside rin, where c΄ is the damping coefficient, q΄ is the numerically obtained quantity at the next timestep, and q0 is the initial value—for details, see equations (7) and (8) in Machida, Nakamura, and Matsumoto (2006). The shape of this absorbing boundary modestly matches up with the exact spherical one, since the cell size is ∼5% of the inner boundary radius. The outer boundaries are the free boundaries where waves can be transmitted.
First, we perform simulations of hot accretion flows without introducing a gas cloud until the accretion flow attains a quasi-steady state. After the quasi-steady state is realized, a gas cloud in pressure equilibrium with the ambient gas is located into the simulation box.
2.1 A hot accretion flow model for Sgr A*
We assume a rotating, equilibrium torus with the pressure maximum at ϖ = ϖ0. The torus is assumed to be threaded by a weak, purely toroidal, initial magnetic field, by using the equilibrium solution of magnetized tori proposed by Okada, Fukue, and Matsumoto (1989). The plasma β( ≡ Pgas/Pmag) at the pressure maximum of the torus is initially 100. We set the direction of the rotation axis of the initial torus to the same as the z-axis. The torus is embedded in a hot, isothermal, non-rotating, static, coronal atmosphere with the gas temperature of ∼1.3 × 1010 K. For more details of the simulation setup, see, e.g., Machida, Nakamura, and Matsumoto (2006).
After the growth of the non-axisymmetric mode of MRI (∼10 orbital periods at the pressure maximum of the initial torus), the angular momentum is efficiently transported by the Maxwell stress and an accretion flow is formed. At 30 orbital periods at the pressure maximum, we locate a gas cloud in the computational domain to simulate the interaction of the G2 cloud with the Sgr A* accretion flow.
The normalization factor of the mass density ρ0 is chosen to be consistent with the observational implication of the mass density distribution of the Sgr A* accretion flow ρRIAF(r) = 1.3 × 10−21(r/104 rs)−1.125 g cm−3 (Yuan et al. 2003; Anninos et al. 2012) such that |${\rho }_{0}{\hat{\rho }(\varpi _0)} \sim {\rho }_{\rm RIAF}(\varpi _0)$|, where |${\hat{\rho }}(\varpi _0) \sim 0.3$| is the azimuthally averaged normalized mass density of the quasi-steady accretion flow.
2.2 Models of the G2 Cloud
There are six parameters describing orbits of a point mass: the orbital inclination i, the longitude of the ascending node Ω, the argument of the pericenter ω, the eccentricity e, the semimajor axis a, and the time of the pericenter passage t0. The three parameters e, a, and t0 can be constrained from the observations of G2. According to observation of the Br-γ emission line and the data analysis by Gillessen et al. (2013b), we set t0 = 2014.25, e = 0.9762, and the pericenter radius rp = a(1 − e) = 2.4 × 103 rs. The semimajor axis a is obtained from e and rp. For convenience, we replace t − t0 by t so that G2 passes the pericenter at t = 0 yr.
For our simulations, the other three parameters i, Ω, and ω cannot be constrained from observations because of the uncertainty of the angle between the rotation axis of the Sgr A* accretion flow and that of the Galactic plane. For the sake of simplicity, we assume Ω = 0 and ω = 0, where ω = 0 means that the pericenter is assumed to be on the equatorial plane of the accretion flows. We expect that the parameter Ω does not significantly affect the results, because the global structure of the accretion flow is not highly non-axisymmetric. In this paper, we present results for i = 0 and π/3 rad. We also assume a Schwarzschild BH and employ a pseudo-Newtonian potential (Paczyńsky & Wiita 1980), so that we do not take into account the relation between the direction of the BH spin and the orbital parameters of the gas cloud described above.
We set the initial position of the center of G2 at r = 2.4 × 104 rs. For the initial cloud density, we assume a Gaussian distribution with FWHM = 3 × 1015 cm (Sa̧dowski et al. 2013) in such a way that the total mass of the gas cloud is 3 M⊕. The initial velocity inside the cloud is assumed to be equal to the Kepler orbital velocity at its center of mass. For the sake of simplicity, we do not assume the initial magnetic field in the cloud. We note that |${\boldsymbol {\nabla }}{\cdot }{\boldsymbol B} = 0$| is assured when we locate the cloud, because the magnetic field is neither artificially added to nor removed from the computational domain.
The cloud satisfying the assumptions above is located in the computational domain after a quasi-steady accretion flow is formed.
3 Results
The time evolution of the gas cloud and the hot accretion flow when i = 0 is shown in figure 1. At t ≃ −4 yr (i.e., 30 Kepler orbital time periods at the initial pressure maximum of the torus), nonlinear growth of non-axisymmetric MRI has already been saturated, so that the accretion flow has attained the quasi-steady state. At this time, the spherical gas cloud is located at 2.4 × 104 rs, far outside the zoomed region of figure 1. At t ≃ 0 yr, the gas cloud stretched by the tidal force of the Galactic center BH penetrates the accretion flow. This stage is qualitatively the same as Sa̧dowski et al. (2013), except that the tidally stretched gas becomes slimmer due to effects of the radiative cooling in this work. At t ≃ 5 yr, the accretion flow returns back to the quasi-steady state with its magnetic field being amplified by the MRI-driven dynamo compared to that before the passage of the gas cloud.

Snapshots of the simulated accretion flow before and after the passage of the gas cloud for the model with i = 0. Color maps show the mass density (top) and the magnetic energy density (bottom). The pericenter passage time estimated by using test particle approximation is defined as t = 0 yr. The dashed white curves represent the Kepler orbit of the center of G2. (Color online)
The mass density and pressure at r ≳ 3 × 103 rs are roughly half of those before the G2 encounter because the disk mass is swept by the G2 impact. However, the variation of mass density and gas pressure inside 2 × 103 rs (i.e., inside the pericenter radius of the G2 cloud) is several tens percent, while the magnetic energy increases by a factor of 3–4 after the pericenter passage. Therefore, we expect radio brightening of Sgr A* by the synchrotron emission when the gas with the B-field, which is amplified via the MRI-driven dynamo triggered by the G2 encounter, accretes onto the innermost region of the accretion flow with a time delay, i.e., the dynamo timescale and the accretion timescale at ∼103 rs. It takes not only the dynamo timescale but also the accretion timescale to show the brightening, because the synchrotron emission from the innermost region of the preexisting accretion flow is too bright to mask the radio brightening due to the enhanced magnetic field at ∼103 rs. When the gas with the amplified B-field at 103 rs accretes to the innermost region, the synchrotron emission is expected to increase.
In figure 2 we present the time evolution of the magnetic energy. The peak magnetic energy, which is 3–4 times larger than that before the encounter with G2, appears between 5 and 13 yr after the pericenter passage of the G2 cloud for the model with inclination angles i = 0 and π/3. In the case that i = 0, the magnetic energy increases after the impact of the G2 cloud because the cloud collision increases the radial component of the magnetic fields, which is subsequently amplified by differential rotation of the disk. In the case of i = π/3, the magnetic energy slightly decreases after the cloud impact because the enhanced turbulent motion dissipates the magnetic energy. When the rotation axis of the disrupted disk is fixed, the MRI-driven dynamo amplifies the magnetic field of the tilted disk.

Time evolution of magnetic energy obtained by spatial integration of the magnetic energy density inside 750 rs. The solid and dashed curves represent the results for the models with i = 0 and π/3, respectively. The magnetic energy is normalized by |$(\rho _0 v_0^2/2)\varpi _0^3 \simeq 1.47 \times 10^{44}\:$|erg, where ρ0 ≃ 1.68 × 10−20 g cm−3 and v0 ≃ 3.87 × 108 cm s−1 are the initial torus mass density and the Keplerian velocity at ϖ = ϖ0 = 3 × 103 rs, respectively. (Color online)
Let us discuss here a little more about the competition between the magnetic dissipation and amplification. Since the magnetic turbulence enhanced by the passage of the gas cloud increases the magnetic dissipation, the accretion flow approaches a Taylor state (Taylor 1974), in which the system relaxes to a state with minimum magnetic energy. Figure 2 indicates that the relaxation of the magnetic energy is more significant in the model with i = π/3, in which the system is highly perturbed by the impact of the cloud. Subsequently, the magnetic field is amplified by the MRI through the generation of Bz by turbulence. Numerical results for i = π/3 indicate that the magnetic field amplification by the latter mechanism becomes dominant 5 yr after the pericenter passage of G2. This timescale is consistent with that of the disk dynamo at ϖ ∼ 103 rs.
As mentioned above, the B-field amplification is delayed in the model with i = π/3 because it takes time before the decay of the strong perturbation caused by the impact of G2. Figure 3 shows the time evolution of the angular momentum of the flows integrated as |${\boldsymbol L} = \int _{\varpi _{\rm in}}^{750r_{\rm s}} \int _0^{2\pi } \int _{-\varpi _0}^{\varpi _0}\rho ({\boldsymbol r}\times {\boldsymbol v}) \varpi d\varpi d\varphi dz$|. For the model with i = π/3, the direction of the angular momentum is notably modified after the G2 passage: at t ∼ 0 yr, the accretion flow is strongly disturbed by the cloud impact (see also figure 4) and the direction of angular momentum drastically changes. After t ∼ 5 yr, the fluctuation of Ly and Lz is less than ∼10%, so that it can be regarded that the flow has settled to a quasi-steady state with a tilted rotation axis. In this quasi-steady disk, the B-field amplification by the MRI again begins to dominate the decay of the magnetic field. Thus, the amplification of the B-field in the model with i = π/3 is delayed by 5 yr.

Time evolution of angular momentum integrated inside ϖ = 750 rs. Each component of the angular momentum is normalized by the total angular momentum |$L_{\rm total} = \sqrt{\strut L_x^2 + L_y^2 + L_z^2}$|. (Color online)

Volume rendered image of the simulated accretion flow with the gas cloud for the model with i = π/3. The top and bottom panels show the distribution of mass density and magnetic energy density, respectively. (Color online)
Figure 4 shows that the accretion flow is tilted after the passage of the gas cloud for the model with i = π/3. The tilt of the accretion flow is caused by the angular momentum transport from the gas cloud to the accretion flow, because the angular momentums of the accretion flow and of the initial orbital motion of the gas cloud are misaligned. The angular momentum of the gas cloud is sufficient to change the direction of the angular momentum vector of the accretion flow. Since it requires several years for the rotation axis of the accretion flow to settle into the new direction, the B-field amplification via the disk dynamo is delayed when the inclination is large.
4 Summary and discussion
We carried out 3D MHD simulations of the interactions of the Sgr A* accretion flow with the gas cloud G2, taking into account the effects of radiative cooling. We found that the magnetic energy increases by 3–4 times in 5–10 yr after the pericenter passage of the G2 cloud. The delay time of the B-field amplification depends on the orbital inclination of the gas cloud: the maximum magnetic energy appears ∼5 or ∼13 yr after the pericenter passage for the model with i = 0 and π/3, respectively. The B-field amplification can increase the radio and infrared luminosities after a time delay after the G2 passage. We expect that a gradual increase of the synchrotron emission with a peak around 2020 will be observed in the radio and the infrared bands. This significant radio brightening should occur when the amplified magnetic field accretes to the innermost region. Furthermore, the X-ray flare may occur when the amplified magnetic energy is released via the magnetic reconnection in the vicinity of the BH.
Here, we discuss the consistency between our scenario and the lack of detection of increased radiative flux in Sgr A* to date. In this paper, we have found that the magnetic field in the Sgr A* accretion flow is amplified 5–10 yr after the pericenter passage of the G2 cloud. Our scenario would reasonably explain the lack of detection of radio or infrared brightening to date, because the radio and the infrared emissions in Sgr A* may be dominated by the synchrotron emission, which should be enhanced by the B-field amplification.
By contrast, the X-ray emission of Sgr A* may be dominated by the bremsstrahlung emission from the outer part of the accretion flow at ∼105 rs (Quataert 2002; Yuan et al. 2003). This radius is far outside the distance of the pericenter of G2. Thus, the change of the dynamics of the inner accretion flow induced by the G2 impact may not affect the X-ray luminosity of Sgr A*, except for the X-ray flare induced by the magnetic reconnection in the vicinity of the BH. It may be thought that G2 should affect the X-ray luminosity when the cloud starts to interact with the accretion flow at 105 rs. However, since the size of G2 is only ∼103 rs, it would be too small to affect the dynamics of the accretion flow at 105 rs. No detection of increased X-ray emission so far is, therefore, consistent with our scenario.
If the brightening is not detected during the next ∼10 yr, there can be two possible reasons: the location of the outer edge of the accretion flow is closer to the Galactic center BH than that of the pericenter of G2, or the gas component of G2 is less massive than expected. The expectation for the brightening discussed above should be confirmed by calculating time-dependent multi-wavelength radiative spectra through post-processing the MHD simulation data. In subsequent papers, we would like to carry out the spectral calculations, as well as a parameter survey of the MHD simulations of the disk–cloud interaction.
At the beginning of our simulations, the Br-γ luminosity obtained by volume integration of the cooling function expressed in equation (1) attains the luminosity ∼10−3 L⊙, which is consistent with the observed luminosity of G2 (Gillessen et al. 2012). During the pericenter passage, however, the Br-γ luminosity decreases to ∼10−4 L⊙, which is one order of magnitude lower than observed (Pfuhl et al. 2015). This inconsistency may be caused by overheating of the G2 cloud due to the mixing of the G2 cloud and the hot accretion flows during the pericenter passage. This problem would be solved by performing the simulations with higher spatial resolution, as shown in simulations with adopted mesh refinement (AMR) code focusing not on the system including both the Sgr A* accretion flow and the G2 cloud but only on the G2 cloud (Schartmann et al. 2015). However, the B-field amplification shown in this work should also occur in simulations with fine spatial resolution, since it is driven by the disk dynamo (especially by MRI), and the high-resolution simulations rather show more efficient B-field amplification (Hotta et al. 2016). Simulations with higher spatial resolution reproducing the consistent luminosity of the Br-γ emission remain as future work.
It should be noted that, after the pericenter passage of the G2 cloud, the mass accretion rate at the inner boundary (450 rs) increases to 2–4 times that before the G2 impact in our simulations. However, since the magnetic energy inside the disk does not increase until the MRI-driven dynamo grows again (i.e., 5–10 yr after the G2 impact), the synchrotron luminosity would not increase significantly until the strongly magnetized region begins to infall.
When the gas with the amplified B-fields accretes onto the inner disk, synchrotron emission from the inner disk will increase. Although the observational images would not be perfectly the same as those predicted by Mościbrodzka et al. (2012) because of the amplification of the magnetic field after the G2 encounter in our study, the synchrotron-brightened region may be similar to that studied by Mościbrodzka et al. (2012). The brightening may be detected by East Asia mm/submm VLBI observation and the Event Horizon Telescope submillimeter Very Long Baseline Interferometry experiment (EHT). As discussed below, the angle between the rotation axis of the accretion disk and the orbital axis of G2 may be constrained by these observations.
Let us discuss whether or not the direction of the rotation axis of the preexisting accretion flow can be constrained by the timing of the brightening. The radio brightening in the vicinity of the BH is expected to follow the amplification of the B-field at ∼103 rs; i.e., the increased B-field will be advected inward and, subsequently, amplified further near the BH. If we assume that the amplified B-field is advected to the innermost region of the accretion flow in the viscous accretion timescale, the time lag due to the advection is ≲1 yr, where we have assumed the viscosity parameter (Shakura & Sunyaev 1973) α ≃ 0.1 since our simulations indicate this value in the B-field reamplification stage. This accretion timescale is shorter than the timescale of the B-field amplification (∼5 or ∼10 yr), so we can identify the difference of the orbital inclination of G2 against the preexisting accretion flow. Comparing the timing of the brightening in the simulation with future observations would enable us to constrain the direction of the rotation axis of the preexisting Sgr A* accretion flow, since the orbital plane of G2 is known. Furthermore, the tilt of the accretion flow in the i = π/3 case (figure 4) can be spatially resolved by East Asia mm/submm VLBI observations and EHT. If the direction of the rotation axis of the accretion disk significantly differs from the angular momentum axis of G2, we would be able to observe the change of the rotation axis of the accretion flow with time.
The tilt of the accretion flows caused by the disk–cloud interaction can occur not only in Sgr A* but also in other low-luminosity active galactic nuclei (LLAGNs). The tilt may induce quasi-periodic oscillation in the LLAGNs and/or a change of the direction of the LLAGN jets. These possible behaviors would be important in exploring the accretion and ejection histories in LLAGNs.
In this work, we set the inclination at i = 0 and π/3; i.e., the rotation of the accretion flow is assumed to be prograde with respect to the orbital motion of the gas cloud. If they are in the opposite, we expect that the retrograde gas cloud will lose more angular momentum than the prograde one because of the ram pressure of the accretion flow. Especially in the perfectly retrograde case (i.e., i = π), the majority of the gas cloud may not be able to maintain a Keplerian orbit, which is estimated by the observations of the Br-γ emission line, until G2 reaches the pericenter. It may also excite a strong disturbance of the accretion flow due to the mixing of the gas with opposite angular momentum, which would result in a drastic increase in the mass accretion rate onto the black hole. We leave the parameter study of the gas cloud including the counter-rotating case as future work.
Acknowledgments
We thank Y. Feng, K. Ohsuga, H. R. Takahashi, M. Kino, and M. Akiyama for useful discussions. The numerical simulations were mainly carried out on the XC30 at the Center for Computational Astrophysics, National Astronomical Observatory of Japan. This research also used computational resources of the HPCI system provided by the Information Technology Center, the University of Tokyo, and Research Institute for Information Technology, Kyushu University through the HPCI System Research Project (Project ID: hp120193, hp140170). This work was supported in part by the MEXT HPCI STRATEGIC PROGRAM and the Center for the Promotion of Integrated Sciences (CPIS) of Sokendai, and MEXT as a priority issue (Elucidation of the fundamental laws and evolution of the universe) to be tackled by using post-K Computer and JICFuS. This work was also supported by JSPS KAKENHI Grant Number 16H03954, and the NINS project of Formation of International Scientific Base and Network.
References