Grand-design Spiral Arms in a Young Forming Circumstellar Disk

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Published 2017 January 20 © 2017. The American Astronomical Society. All rights reserved.
, , Citation Kengo Tomida et al 2017 ApJL 835 L11 DOI 10.3847/2041-8213/835/1/L11

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2041-8205/835/1/L11

Abstract

We study formation and long-term evolution of a circumstellar disk in a collapsing molecular cloud core using a resistive magnetohydrodynamic simulation. While the formed circumstellar disk is initially small, it grows as accretion continues, and its radius becomes as large as 200 au toward the end of the Class-I phase. A pair of grand-design spiral arms form due to gravitational instability in the disk, and they transfer angular momentum in the highly resistive disk. Although the spiral arms disappear in a few rotations as expected in a classical theory, new spiral arms form recurrently as the disk, soon becoming unstable again by gas accretion. Such recurrent spiral arms persist throughout the Class-0 and I phases. We then perform synthetic observations and compare our model with a recent high-resolution observation of a young stellar object Elias 2–27, whose circumstellar disk has grand-design spiral arms. We find good agreement between our theoretical model and the observation. Our model suggests that the grand-design spiral arms around Elias 2–27 are consistent with material arms formed by gravitational instability. If such spiral arms commonly exist in young circumstellar disks, it implies that young circumstellar disks are considerably massive and gravitational instability is the key process of angular momentum transport.

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1. Introduction

Formation and evolution of a circumstellar disk is one of the most important topics in star formation because most of the gas accretion occurs through a disk, and also because the disk provides initial and boundary conditions for planet formation. Accretion and transport of angular momentum are the key processes to understand disk formation and evolution. There are various angular momentum transport processes: gravitational torque, magnetic fields, hydrodynamic instabilities, and viscosity. The relative importance of these processes depends on the physical state of the disk. In typical star-forming clouds, magnetic fields are strong enough and remove angular momentum very efficiently (e.g., Mestel & Spitzer 1956; Mouschovias & Paleologou 1979, 1980; Tomisaka 2000, 2002). When magnetic fields are weak or significantly dissipated by non-ideal magnetohydrodynamics (MHD) effects such as Ohmic dissipation and ambipolar diffusion, and when a disk is massive enough, spiral arms are formed by gravitational instability and the non-axisymmetric structure transports angular momentum by gravitational torque (e.g., Bate 1998; Tomida et al. 2010a). When these processes are inefficient, angular momentum is transported by other physical processes such as hydrodynamic instabilities and turbulence (e.g., Turner et al. 2014), which are less efficient than the other processes. These processes are not exclusive but work together. Realistic numerical simulations of star and disk formation have been actively performed (Duffin & Pudritz 2008; Li et al. 2011; Tomida et al. 2013, 2015; Tsukamoto et al. 2015; Masson et al. 2016; Wurster et al. 2016).

Thanks to the high sensitivity and resolution of the Atacama Large Millimeter/submillimeter Array (ALMA), high-resolution observations of circumstellar disks are being performed actively. Observations resolving the structures of circumstellar disks provide crucial information on the physics working in the disks. Among them, the discovery of beautiful grand-design spiral arms in a circumstellar disk around Elias 2–27 (Pérez et al. 2016) brought striking insight to the disk evolution. Although Pérez et al. (2016) concluded that the spiral arms are likely to be density waves in the disk, the spiral arms look like material spiral arms formed by gravitational instability. Such spiral arms form in marginally unstable disks, where the Toomre's Q parameter (Toomre 1964) is as low as a few. While the disk around Elias 2–27 seems to be considerably massive (up to ∼30% of the central object), the estimated Q value is not very low, although this discrepancy can be reconciled by dust properties (e.g., Tsukamoto et al. 2016). Moreover, the gravitational instability scenario is often criticized that the material arms wind up and disappear in a few dynamical timescales. It is also considered to be difficult to form such unstable disks in strongly magnetized clouds (the magnetic braking catastrophe; e.g., Allen et al. 2003; Hennebelle & Fromang 2008; Li et al. 2011), at least in the early phase of star formation. If we can confirm these spiral arms are formed by gravitational instability, and if such structures are common, it suggests that angular momentum transport by gravitational torque plays a significant role in evolution of young circumstellar disks.

In this Letter, we perform a long-term resistive MHD simulation of disk formation and demonstrate that spiral arms by gravitational instability form recurrently throughout the Class-0 and I phases. We also perform synthetic observations and show a good agreement between the observation and theoretical model. This Letter is organized as follows. We describe the MHD simulation in Section 2 and the synthetic observation in comparison with Elias 2–27 in Section 3. Section 4 is devoted to discussions and conclusions.

2. MHD Simulation

2.1. Method and Model

We perform a long-term MHD simulation using a three-dimensional nested-grid code. We refer readers to Machida & Hosokawa (2013) and Machida et al. (2014, 2016) for details. This code solves the MHD equations with self-gravity and Ohmic dissipation. Instead of solving expensive radiation transfer, we adopt the barotropic approximation as in Machida & Matsumoto (2012) to mimic the realistic thermodynamics including the initial isothermal collapse and the quasi-adiabatic first core phase (e.g., Masunaga & Inutsuka 2000; Tomida et al. 2010b, 2013):

Equation (1)

where T and ρ are the gas temperature and density, and ρcrit = 3.84 × 10−14 g cm−3 is the critical density where the gas becomes adiabatic. The ionization degree Xe and Ohmic resistivity η are calculated using simple formulae (Nakano et al. 2002; Machida et al. 2014):

Equation (2)

Equation (3)

where n denotes the gas number density. These are fitting formulae assuming the Mathis–Rumpl–Nordsieck dust size distribution (Mathis et al. 1977) and the ionization rate is dominated by cosmic rays, ζ = 10−17 s−1. This resistivity is conservative (i.e., Ohmic dissipation is weak) as shielding of cosmic rays is not included.

The initial condition is a supercritical Bonnor–Ebert-like sphere (Ebert 1955; Bonnor 1956), whose central density, temperature, radius, and mass are ρc = 2.2 × 10−18 g cm−3, T = 10 K, R = 6.1 × 103 au, and M0 = 1.25 M, respectively. The sphere has a solid-body rotation around the z-axis with an angular velocity of Ω = 1.5 × 10−13 s−1 and uniform magnetic field aligned to the rotation axis with Bz = 36 μG. The mass-to-flux ratio averaged over the sphere is μ/μcrit ∼ 3. These parameters are motivated by observed star-forming clouds (Goodman et al. 1993; Crutcher 2012; Li et al. 2014), but not fine-tuned to reproduce Elias 2–27. The results do not change qualitatively even when we use different parameters.

Each nested-grid level consists of $({N}_{x},{N}_{y},{N}_{z})=(64,64,32)$ cells, with mirror symmetry imposed on the z = 0 plane, and a finer level is created to resolve the local Jeans length with at least eight cells (Truelove et al. 1997). The finest resolution achieved around the center of the computational domain is 0.75 au, while typical resolution at the disk scale (R ∼ 100–200 au) is about 3–6 au. In order to avoid prohibitively small time steps after formation of a protostellar core, we insert a sink particle with an accretion radius of 1 au at the center of the domain (Machida et al. 2014).

2.2. Results

We run the simulation as long as possible, and at the end of the simulation the protostar age reaches about 47,000 years. The masses of different components are shown in Figure 1(a). Here, we define the outflow (Moutflow) to be where the gas has a radial velocity larger than 10% of the local isothermal sound speed (${v}_{r}\gt 0.1{c}_{{\rm{s}},\mathrm{iso}}$). The disk (Mdisk) is identified as the gas exceeding the critical density ρd, which is defined as the minimum density within a region where the rotational motion dominates the radial motion (${v}_{\phi }\gt 2| {v}_{r}| $ and vϕ > 0.6 vKep where vKep is the local Keplerian speed) and not vertically outflowing (${v}_{z}\lt 0.1{c}_{{\rm{s}},\mathrm{iso}}$). The protostar mass M* is the mass absorbed by the sink particle. The (bound) envelope mass is the total of the rest calculated within the initial cloud radius; ${M}_{\mathrm{env}}={M}_{0}-{M}_{* }-{M}_{\mathrm{disk}}-{M}_{\mathrm{outflow}}$. The object is almost near the end of the Class-I phase as the envelope mass gets as low as 15% of the initial cloud mass. The disk-to-star mass ratio remains almost constant and is about 30%–40% throughout the Class-0 and I phases. Assuming that all the disk material will eventually accrete onto the star, the star formation efficiency will be ∼50%.

Figure 1.

Figure 1. Time evolution of various quantities. (a) The mass of each component. (b) The disk radius. (c) Toomre's Q value averaged over the disk and the amplitude of the spiral arms. (d) The accretion rate onto the sink particle, the intrinsic luminosity, and stellar radius obtained from the stellar evolution calculation. Note that the intrinsic luminosity does not include the accretion luminosity.

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In the earliest phase, the disk size remains small because magnetic fields transport angular momentum efficiently. However, as the disk evolves, the magnetic angular momentum transport becomes less dominant because magnetic fields dissipate and also because the envelope density decreases and magnetic braking becomes less efficient. Then the disk becomes gravitationally unstable, and grand-design m = 2 spiral arms form spontaneously (see also Hennebelle et al. 2016). The gravitational torque between these non-axisymmetric structures transports angular momentum efficiently and controls the disk evolution. As often pointed out, these material spiral arms wind up tightly and disappear in several orbits by the shearing rotation. However, the disk becomes gravitationally unstable again and spiral arms form recurrently (see the animation of Figure 2). While the spiral arms exist and are transferring the angular momentum, the disk radius increases and the disk becomes highly eccentric. As they transport angular momentum, the disk stabilizes and circularizes. As a result, the disk radius oscillates while it grows, as seen in Figure 1(b). Toward the end of the Class-I phase, the disk size becomes larger than 200 au in the expanding phases with spiral arms.

In order to quantify this behavior, we plot the Q parameter (Toomre 1964) averaged over the disk, which indicates the disk instability, and the amplitude of the spiral arms in Figure 1(c). Here, the Q parameter is defined as the mass-weighted average over the disk:

Equation (4)

where cs denotes the local sound speed, κ the epicyclic frequency, G the gravitational constant, and Σ the disk surface density, respectively. We use κ = ΩKep assuming the disk rotation is almost Keplerian. The amplitude of the spiral arms is measured by the ratio between the maximum and minimum surface densities integrated over −50 au < z < 50 au within the annulus of 0.70 Rdisk < R < 0.75 Rdisk excluding the outflowing gas with ${v}_{z}\gt 0.1{c}_{{\rm{s}},\mathrm{iso}}$. The Q value increases gradually, indicating that the disk is stabilized overall as it evolves. However, the outer disk still becomes unstable and spiral arms form repeatedly. The disk stabilizes again as the spiral arms transfer the angular momentum, which is observed as a strong correlation between the spiral arm amplitude and the increase of the Q value.

Figure 2 shows the typical evolution of the disk, emergence and decay of the spiral arms. The disk swings between the two states in about 1500 years, the expanding state with spiral arms and the relatively circular, flat state. The orbital timescale is ${t}_{\mathrm{rot}}\sim {\left(\tfrac{4{\pi }^{2}{R}_{\mathrm{disk}}^{3}}{{{GM}}_{* }}\right)}^{1/2}\sim 1500$ years when M* = 0.44 M and Rdisk = 100 au, so the transition timescale corresponds to the disk dynamical timescale. We also show the distribution of the plasma beta and the local Q value in Figure 2. The plasma beta is significantly higher than unity within the disk, indicating the disk is weakly magnetized and angular momentum transport by magnetic fields is not efficient anymore. Spiral arms exhibit low Q (Q ≲ 1), but as the disk expands, the Q value gets higher as the disk is stabilized by the angular momentum transport. Figure 3 shows the azimuthally averaged radial profiles of the dust surface density, temperature, and Q value. Our model has a higher surface density and temperature compared to the estimates of Pérez et al. (2016), but it should be noted that the assumption in Pérez et al. (2016) that the surface density should follow a power-law distribution with a cutoff is strong, and the disk does not necessarily have such a distribution when the disk is unstable and dynamically evolving. The Q value is as low as unity where the spiral arms are present, implying that the disk structure is regulated by the balance between the gravitational instability and the angular momentum transport by the spiral arms. As seen in Figure 1, the recurrent spiral arms persist for a significant fraction of the time until the end of the Class-I phase. Assuming that the spiral arms are visible when the amplitude is larger than 50, the occurrence probability of the spiral arms is about 50%. Therefore, there is sufficiently high probability that we can observe such grand-design material spiral arms if the disk is massive. Observations of Elias 2–27 suggest that its disk can be indeed massive, Mdisk ∼ 0.14 M (Andrews et al. 2009; Pérez et al. 2016).

Figure 2. Typical evolution of the disk and spiral arms. Top: the density cross sections at the disk mid-plane with the velocity vectors. The animation contains both edge-on and face-on cross sections of the density at different scales. Middle: the plasma beta β = pgas/pmag at the disk mid-plane. Bottom: the distributions of Toomre's Q parameter. We use the epoch of the rightmost panel (46,116 years after the protostar formation) for the imaging simulation.

(An animation of this figure is available.)

Video Standard image High-resolution image
Figure 3.

Figure 3. Azimuthally and vertically averaged radial distributions of various quantities. (a) The dust surface density (note that the dust-to-gas ratio is 0.014). (b) The temperature obtained from the barotropic approximation used in the MHD simulation and the recalculated temperature after radiation transfer calculation. (c) Toomre's Q value calculated using the barotropic approximation. The dashed line indicates Q = 1.

Standard image High-resolution image

3. Synthetic Observation

In order to compare the MHD simulation with the ALMA observation (Pérez et al. 2016), we take a snapshot that resembles the Elias 2–27 disk and perform a synthetic observation to derive a dust continuum map. This procedure is done in four steps: (1) calculating the physical properties of the protostar, (2) (re)calculating the dust temperature, (3) calculating a dust continuum map, and (4) simulating an ALMA observation.

3.1. Protostar Evolution

We calculate evolution of the central protostar using the STELLAR stellar evolution code (Yorke & Bodenheimer 2008; Hosokawa et al. 2013; Sakurai et al. 2015), as in Machida & Hosokawa (2013). Time evolution of the intrinsic luminosity and stellar radius as well as the accretion rate onto the sink particle are shown in Figure 1(d). At the epoch we choose, the mass, radius, and intrinsic luminosity of the star are M* = 0.444 M, R* = 2.935 R, and L* = 1.604 L, respectively. The accretion rate in the MHD simulation is still high, a few ×10−6 M yr−1, and the corresponding accretion luminosity should be as high as Lacc ∼ 14 L if the gas accretion occurs steadily. However, this accretion rate is time-averaged and there can be short-time accretion variability due to small-scale unresolved structures. Both theoretically and observationally, it is known that most of young stars are fainter than theoretical estimates assuming the steady accretion rate (the so-called luminosity problem), and this is often interpreted as a result of episodic accretion. That is, while the time-averaged accretion rate is still high, the actual accretion onto the protostar happens in long quiescent phases and short burst phases triggered by some physical instabilities within the disk (e.g., Zhu et al. 2010; Dunham & Vorobyov 2012; Stamatellos et al. 2012). Considering this, we adopt $\dot{M}=8\times {10}^{-8}\,{M}_{\odot }{\mathrm{yr}}^{-1}$ to calculate the accretion luminosity based on the observation of Elias 2–27 (Najita et al. 2015), which gives Lacc = 0.379 L. Assuming a blackbody spectrum, the effective stellar temperature is Teff = 4000 K. This agrees well with the observed spectral type of Elias 2–27, which is M0 (Luhman & Rieke 1999; Andrews et al. 2009; Najita et al. 2015).

3.2. Temperature Recalculation

While the barotropic approximation we adopt in the MHD simulation is convenient, it does not fully take into account the radiation heating and cooling after formation of the protostar. To simulate the observation better, we recalculate the dust temperature distribution assuming radiative equilibrium under irradiation from the central star. For this purpose, we utilize RADMC-3D6 (Dullemond 2012), which computes radiation transfer using the Monte Carlo method. In addition to the stellar radiation, we impose an external interstellar radiation field of $T=10\,{\rm{K}}$.

Before the radiation transfer simulation, we modify the density distribution. First, we remove the gas and dust outside the initial cloud. Second, because the sink particle only absorbs the gas within the accretion radius whose density is higher than a critical density, ρsink = 10−12 g cm−3, the gas density around the sink remains unphysically high. Because the gas near the sink should already have accreted, we lower the gas density within a cylinder of R = 1.5 au and z = 4.5 au around the sink to ρ = 10−18 g cm−3. This removal of the gas affects the temperature near the protostar, but the removed gas mass is only 5 × 10−5 M and the disk temperature in the large scale (R > 10 au) is not sensitive to how we remove the gas.

For dust opacities, we adopt the monochromatic opacity tables of Semenov et al. (2003),7 using the composite aggregate dust model of the normal abundance. The dust-to-gas fraction of this model is 0.014 in the cold (T ≲ 150 K) region where all the dust components exist. This model consists of five tables for different temperatures regarding dust evaporation. To take the dust evaporation into account, we run RADMC-3D repeatedly. First, we run RADMC-3D using the opacity table for the lowest temperature everywhere. Based on the result, we introduce the next opacity table for the higher temperature where the temperature is higher than the evaporation temperature. We repeat this procedure until distributions of all the dust components considering their evaporation are obtained. Then we run RADMC-3D again using 2 × 109 photons to make the temperature distribution as smooth as possible. We include anisotropic scattering and do not use the modified random walk algorithm. Note that our opacity and resistivity are not fully consistent because the dust evaporation is not considered in the resistivity.

The resulting temperature distribution is shown in Figure 4, and the azimuthally averaged radial profile is shown in Figure 3(b). The resulting disk temperature in the outer region (R ≳ 100 au) is about 10–30 K, which is close to the temperature often used in observational studies. The temperature obtained from the radiation transfer calculation is lower than that of the barotropic approximation within the disk near the central star, while it is higher in the envelope. Although the temperature affects the disk stability, we expect that the overall disk evolution, especially in the outer region, is simulated reasonably well because the typical temperature in the outer disk is 10–20 K, which is close to the temperature from the barotropic approximation.

Figure 4.

Figure 4. Vertical cross sections of the temperature. Left: the temperature calculated using the barotropic approximation. Right: the temperature after the radiation transfer calculation. The two panels share the same color bar.

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The temperatures obtained from the barotropic approximation and radiation transfer calculation are considerably different, but we still can expect the gravitational instability if we properly take radiation transfer into account in our MHD simulation because the temperature from the radiation transfer calculation is lower than the barotropic approximation in most regions within the disk. Also, the Q value has a dependency on the temperature as Q ∝ T1/2 and therefore the difference in Q should be within a factor of 2. It should be noted, however, we ultimately need radiation MHD simulations to model the disk evolution accurately.

3.3. Dust Continuum Map

For comparison with the ALMA observation of Elias 2–27, we calculate the intensity distribution of dust continuum at 1.3 mm again using RADMC-3D. The opacity table we use has ${\kappa }_{1.3\mathrm{mm}}\sim 0.95\,{\mathrm{cm}}^{2}\,{{\rm{g}}}^{-1}$ per unit dust mass in most regions within the disk. Note that this value is lower than the opacity used in Pérez et al. (2016) by a factor of ∼2.5. To match the observation, we set the inclination angle to be 55fdg8. In order to avoid unphysical noise in the ALMA simulation due to the edges of the image, the image size must be larger than the primary beam size of ALMA, which is about 27 arcsec at 1.3 mm. Assuming the object is located at a distance of 139 pc, we calculate the image covering (10,000 au)2 with 40002 pixels. The result is shown in the left panel of Figure 5.

Figure 5.

Figure 5. Left: the raw result of the RADMC-3D radiation transfer calculation. The pixel size is (2.5 au)2. Center: the result of the ALMA imaging simulation. The ellipse at the lower left corner indicates the beam size of 0.29 arcsec ×0.26 arcsec. Right: the actual ALMA observation of Elias 2–27 (Pérez et al. 2016; https://safe.nrao.edu/evla/disks/elias2-27/). The two right panels share the same color bar.

Standard image High-resolution image

The column density along the line of the sight from the edge to the center of the cloud, excluding the gas within the sink radius, is ${N}_{{{\rm{H}}}_{2}}\sim 6.34\times {10}^{21}\,{\mathrm{cm}}^{-2}$, indicating that the envelope is almost exhausted. This value is lower than one inferred from the observed visual extinction AV ∼ 14.8 (Andrews et al. 2009; Najita et al. 2015). However, the column density estimate in our simulation is only a lower limit because we exclude the structure near the sink and outside the initial cloud.

3.4. ALMA Simulation

Then we perform simulated observation using the simobserve and simanalyze tasks of the Common Astronomy Software Applications package (CASA; McMullin et al. 2007). We chose observation parameters as close to Pérez et al. (2016) as possible; the bandwidth is 6.8 GHz, the integration time is 12.5 minutes, and the source position is R.A. (J2000) = 16h26m45fs024, decl. (J2000) = −24d23m08fs250. We use the "alma.cycle4.5.cfg" array configuration file and the Briggs waiting with the robustness of 0.5. This produces a synthetic beam of 0.29 arcsec × 0.26 arcsec, which is very close to the original observation. The result of the synthetic observation is shown in Figure 5, as well as the original observation of Elias 2–27 (Pérez et al. 2016).

The disk structure agrees well with the ALMA observation of Elias 2–27. The central bright disk and the grand-design spiral arms are clearly visible. The disk size, brightness, and thickness of the spiral arms are largely consistent with the observation. Therefore, we conclude that the observed spiral arms can be well explained by material spiral arms formed by gravitational instability.

4. Discussions and Conclusions

We perform 3D resistive MHD simulations of star and disk formation for a long term until almost the end of the main accretion phase. The disk becomes gravitationally unstable and grand-design spiral arms form recurrently on the dynamical timescale. We compare our model with the observation of Elias 2–27 through the synthetic observation, and find a good agreement. While Pérez et al. (2016) favored the density wave scenario pointing out that material spiral arms should disappear in a few orbital periods, we conclude that material spiral arms that form recurrently by gravitational instability can well explain the observed grand-design spiral arms in Elias 2–27.

The current MHD simulation does not consider ambipolar diffusion, the Hall effect, and radiation transfer. Ambipolar diffusion and the Hall effect will suppress angular momentum transport more effectively and help formation of the spiral arms. While we perform post-processing radiation transfer to recalculate the temperature, this is also not necessarily accurate because it ignores heating processes such as compression, shock, and Joule heating. We need long-term radiation MHD simulations in order to study the disk evolution accurately, which will be a future work.

Our results imply that Elias 2–27 is very young and is possibly in the earliest Class-II or very close to the end of the Class-I phase. Although the stellar evolution calculation has a significant uncertainty for such a young object, Isella et al. (2009; see also Greene & Meyer 1995; Andrews & Williams 2007) estimated that the age of Elias 2–27 is very young, about 0.1 Myr. At least this is one of the youngest Class-II objects, and our model is qualitatively consistent with the observations. Such a short duration of the Class-0/I phase is due to the high accretion rate; while the self-similar solution of Shu (1977) predicts $\dot{M}\sim {10}^{-6}\,{M}_{\odot }\,{\mathrm{yr}}^{-1}$, the actual accretion is more like the Larson–Penston solution and the accretion rate is much higher in the early phase (Larson 1969; Penston 1969; Vaytet & Haugbølle 2016). One remaining question is how long the recurrent spiral arms can last. As the envelope disperses and the accretion rates decreases, the circumstellar disk will be stabilized. This trend is already seen in our simulation. Therefore, we speculate that the disk will be stabilized shortly after the accretion from the envelope stops.

While our model reproduces the disk of Elias 2–27 well, some features do not match perfectly. For example, gap-like structures exist in Elias 2–27, but we do not find any significant gap in our synthetic observation. The low-density region between the spiral arms may look like the gap if we use higher resolution and contrast. However, we should discuss the gap-like structures carefully because the observed contrast is very low. Also, while a bipolar molecular outflow is launched in our model (see the animation of Figure 2), no significant outflow is detected in the small scale. In our simulation, the molecular outflow is launched near the disk in the early phase, but the launching region moves to the higher envelope above the disk (z ∼ 250 au at the end of the simulation) in the late phase because the disk is not strongly magnetized anymore and the magnetic field configuration changes. Also, the outflow is getting weaker as the accretion rate decreases. Therefore, if Elias 2–27 is slightly more evolved than our model, it is likely that there is no outflow in the small scale, as observed in Pérez et al. (2016). In the scale of the molecular cloud core or larger, on the other hand, Gurney et al. (2008) reported detection of low-velocity (1–2 km s−1) molecular outflows toward Elias 2–27. This velocity is in a good agreement with our MHD simulation. We are planning to perform synthetic observations of molecular lines and compare with observations in a future work.

It has been pointed out that theoretical models and numerical simulations tend to predict circumstellar disks heavier than the observed Class-0/I objects, while massive disks with Mdisk > 0.1 M do exist (Jørgensen et al. 2009; Tobin et al. 2016). This "disk-mass problem" can be reconciled if massive disks with spiral arms exist commonly. Such massive disks are favorable to explain the observed high binary rate (e.g., Duchêne & Kraus 2013) based on the disk fragmentation scenario. Moreover, it is important to consider such massive disks in the context of planet formation because circumstellar disks are the initial and boundary conditions of planet formation. Systematic surveys of young circumstellar disks are of crucial importance, along with improvement of theoretical models.

We thank Takayuki Muto, Akimasa Kataoka, and Laura Pérez for useful information and discussion. We also thank Cornelis P. Dullemond for publicly distributing RADMC-3D. We use VisIt (Childs et al. 2012) to produce Figure 4. VisIt is supported by the Department of Energy with funding from the Advanced Simulation and Computing Program and the Scientific Discovery through Advanced Computing Program. This Letter makes use of the following ALMA data: ADS/JAO.ALMA#2013.1.00498.S. ALMA is a partnership of ESO (representing its member states), NSF (USA) and NINS (Japan), together with NRC (Canada), NSC and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO and NAOJ. This work is partly supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Grants-in-Aid for Scientific Research 16H05998(KT), 25400232(MNM), 16H05996(HT), and Grant-in-Aid for the Japan Society for the Promotion of Science Fellows 15H08816(YS). Y.S. is also supported by Advanced Leading Graduate Course for Photon Science. This research uses computational resources of the High Performance Computing Infrastructure (HPCI) system provided by Cyber Sciencecenter (Tohoku University), Cybermedia Center (Osaka University), and Earth Simulator (JAMSTEC) through the HPCI System Research Project (Project ID:hp160079).

Footnotes

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10.3847/2041-8213/835/1/L11