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Testing planet formation from the ultraviolet to the millimeter

Nick Choksi1[Uncaptioned image]{}^{1\href https://orcid.org/0000-0003-0690-1056} and Eugene Chiang1,2[Uncaptioned image]{}^{1,2\href https://orcid.org/0000-0002-6246-2310}
1Astronomy Department, Theoretical Astrophysics Center, and Center for Integrative Planetary Science, University of California
  Berkeley, Berkeley, CA 94720, USA
2Department of Earth and Planetary Science, University of California, Berkeley, CA 94720, USA
E-mail: nchoksi@berkeley.edu
(Released August 8, 2025)
Abstract

Gaps imaged in protoplanetary discs are suspected to be opened by planets. We compute the present-day mass accretion rates M˙p\dot{M}_{\rm p} of seven hypothesized gap-embedded planets, plus the two confirmed planets in the PDS 70 disc. The accretion rates are based on disc gas surface densities Σgas\Sigma_{\rm gas} from C18O observations, and planet masses MpM_{\rm p} from simulations fitted to observed gaps. Assuming accretion is Bondi-like, we find in eight out of nine cases that M˙p\dot{M}_{\rm p} is consistent with the time-averaged value given by the current planet mass and system age, Mp/tageM_{\rm p}/t_{\rm age}. As system ages are comparable to circumstellar disc lifetimes, these gap-opening planets may be undergoing their last mass doublings, reaching final masses of Mp10102MM_{\rm p}\sim 10-10^{2}\,M_{\oplus} for the non-PDS 70 planets, and Mp110MJM_{\rm p}\sim 1-10\,M_{\rm J} for the PDS 70 planets. For another fifteen gaps without C18O data, we predict Σgas\Sigma_{\rm gas} by assuming their planets are accreting at their time-averaged M˙p\dot{M}_{\rm p}. Bondi accretion rates for PDS 70b and c are orders of magnitude higher than accretion rates implied by measured U-band and Hα\alpha fluxes, suggesting most of the accretion shock luminosity emerges in as yet unobserved wavebands, or that the planets are surrounded by dusty, highly extincting, quasi-spherical circumplanetary envelopes. Thermal emission from such envelopes or from circumplanetary discs, on Hill sphere scales, peaks at wavelengths in the mid-to-far-infrared and can reproduce observed mm-wave excesses.

keywords:
planets and satellites: formation – planets and satellites: general – planets and satellites: fundamental parameters – protoplanetary discs – planet–disc interactions
pubyear: 2021pagerange: Testing planet formation from the ultraviolet to the millimeterTesting planet formation from the ultraviolet to the millimeter

1 Introduction

The Atacama Large Millimeter Array (ALMA) has revealed gaseous protoplanetary discs to be ringed and gapped, with HL Tau (ALMA Partnership et al. 2015) and discs from the DSHARP (Andrews et al., 2018) and MAPS (Oberg et al., 2021) surveys providing stunning examples (see also Cieza et al. 2019; Andrews 2020). The annular structures observed at orbital distances of r10100r\sim 10-100 au are commonly interpreted as being carved by protoplanets within the gaps, by analogy with shepherd satellites opening gaps in planetary rings (e.g. Goldreich & Tremaine 1979). A few dozen candidate planets have been so hypothesized with masses MpM_{\rm p} of several Earth masses MM_{\oplus} to a few Jupiter masses MJM_{\rm J} (Zhang et al. 2018; figure 1 of Lodato et al. 2019; and Table 1 of this paper).

So far disc-embedded protoplanets have been directly imaged in one system: PDS 70b and c are confirmed in the near-infrared to orbit at r2040r\sim 20-40 au within the central clearing of the system’s transitional disc (Keppler et al. 2018; Haffert et al. 2019; Wang et al. 2020, 2021, and references therein). These protoplanets, each estimated to be of order a Jupiter mass, have been imaged at multiple wavelengths, from the ultraviolet at 336 nm (Zhou et al., 2021) to Hα\alpha (Haffert et al., 2019) to the sub-millimeter continuum (Isella et al., 2019; Benisty et al., 2021). Aside from PDS 70b and c, all other planets proposed to explain disc sub-structures remain undetected. There are unconfirmed near-infrared point sources in HD 163296 (Guidi et al. 2018) and Elias 24 (Jorquera et al. 2021), and kinematical evidence for planetary perturbations to the rotation curve in HD 163296 (Teague et al. 2018; Teague et al. 2021).

Are the disc gaps and rings imaged by ALMA and in the infrared (e.g. Asensio-Torres et al. 2021) really caused by planets? What can we hope to learn from DSHARP discs and similar systems about how planets form? At the top of the list of measurables should be the planetary mass accretion rate M˙p\dot{M}_{\rm p} and how it depends on MpM_{\rm p} and ambient disc properties like density and temperature. The planet masses inferred from modeling disc sub-structures are frequently dozens of Earth masses (e.g. Dong & Fung 2017; Zhang et al. 2018; our Table 1),111The gaps simulated by Zhang et al. (2018) and similar works are opened because of the repulsive Lindblad torques exerted by planets. These planet-disk simulations neglect accretion onto the planet (cf. Rosenthal et al. 2020 and references therein). large enough that an order-unity fraction of their mass should be in the form of accreted hydrogen. For such planets with self-gravitating gas envelopes, accretion may be hydrodynamic, i.e. regulated by how much mass the surrounding nebula can deliver to the planet through transonic/supersonic flows (e.g. D’Angelo et al. 2003; Machida et al. 2010; Tanigawa & Tanaka 2016; Ginzburg & Chiang 2019a). This phase is distinct from an earlier thermodynamic phase of gas accretion limited by the rate at which the nascent envelope can cool and contract quasi-hydrostatically (e.g. Lee & Chiang 2015; Ginzburg et al. 2016; Chachan et al. 2021). Are the inferences of planets still immersed in their parent discs consistent with our ideas of hydrodynamic accretion? To what final masses should we expect the hypothesized planets to grow?

This paper takes stock of the developing landscape of disc sub-structures and directly imaged protoplanets to address these and other questions. Our goal is to assess what we have learned (if anything) about planet formation from the multi-wavelength observations, and how theory fares against data. In these early days, the analysis is necessarily at the order-of-magnitude level. We begin in Section 2 by documenting our sources (mostly DSHARP) for disc and putative planet properties. These quantities are used in Section 3 to estimate the present-day M˙p\dot{M}_{\rm p} according to theory and to evaluate whether the corresponding planet growth timescales Mp/M˙pM_{\rm p}/\dot{M}_{\rm p} make sense in comparison to the system ages. The mass accretion rates are also used to evaluate accretion luminosities, and we discuss how accretion may be playing out in the circumplanetary environments of PDS 70b and c. In Section 4, we summarize and offer an outlook.

(1) (2)   (3) (4) (5) (6) (7) (8)
Name MM_{\star} [MM_{\odot}] taget_{\rm age} [Myr] rr [au] MpM_{\rm p} [MM_{\oplus}] Σgas\Sigma_{\rm gas} [g cm-2] Σdust\Sigma_{\rm dust} [g cm-2] h/rh/r
Sz 114 0.17 1 39 363-6 N/A 0.080.60.08-0.6 0.1
GW Lup 0.46 2 74 2102-10 N/A 0.030.20.03-0.2^{\dagger} 0.08
Elias 20 0.48 \leq 0.8 25 8208-20 N/A 0.10.70.1-0.7 0.08
Elias 27 0.49 0.8 69 3203-20 N/A 0.050.30.05-0.3 0.09
RU Lup 0.63 0.5 29 102010-20 N/A 0.210.2-1 0.07
SR 4 0.68 0.8 11 6070060-700 N/A 0.030.20.03-0.2^{\dagger} 0.05
Elias 24 0.78 0.2 57 3030030-300 N/A 0.0030.020.003-0.02 0.09
TW Hya-G1 0.80 8 21 8808-80 0.0430.04-3 0.060.40.06-0.4 0.08
TW Hya-G2 0.80 8 85 5505-50 0.0080.20.008-0.2 0.0020.020.002-0.02 0.09
Sz 129 0.83 4 41 5105-10 N/A 0.210.2-1 0.06
DoAr 25-G1 0.95 2 98 203020-30 N/A 0.050.30.05-0.3 0.07
DoAr 25-G2 0.95 2 125 5105-10 N/A 0.080.60.08-0.6 0.07
IM Lup 1.1 0.5 117 103010-30 0.1100.1-10 0.030.20.03-0.2 0.1
AS 209-G1 1.2 1 9 6070060-700 N/A 0.050.30.05-0.3^{\dagger} 0.04
AS 209-G2 1.2 1 99 3020030-200 0.040.40.04-0.4 0.0080.060.008-0.06 0.06
HD 142666 1.58 10 16 1010010-100 N/A 0.210.2-1 0.05
HD 169142 1.65 10 51 3030030-300 0.10.20.1-0.2 0.01\leq 0.01 0.07
HD 143006-G1 1.78 4 22 4006000400-6000 N/A 0.0030.020.003-0.02^{\dagger} 0.04
HD 143006-G2 1.78 4 51 2010020-100 N/A 0.020.20.02-0.2 0.05
HD 163296-G1 2.0 10 10 3020030-200 N/A 0.210.2-1 0.07
HD 163296-G2 2.0 10 48 9070090-700 1401-40 0.0030.020.003-0.02^{\dagger} 0.08
HD 163296-G3 2.0 10 86 1030010-300 0.1200.1-20 0.010.090.01-0.09 0.08
PDS 70b 0.88 5 22 3003000300-3000 0.00080.080.0008-0.08 0.02\leq 0.02 0.07
PDS 70c 0.88 5 34 3003000300-3000 0.00080.080.0008-0.08 0.02\leq 0.02 0.08
Table 1: Properties of gapped discs and the planets hypothesized to reside within them (confirmed in the case of PDS 70). Column headings: (1) System name. For systems with multiple gaps, we append “G#” to distinguish between different gaps. (2) Stellar mass (Andrews et al., 2018; Ducourant et al., 2014; Oberg et al., 2021; Blondel & Djie, 2006; Keppler et al., 2019) (3) Stellar age (Andrews et al., 2018; Ducourant et al., 2014; Pohl et al., 2017; Müller et al., 2018) (4) Planet orbital radius (Zhang et al., 2018; Dong & Fung, 2017; Keppler et al., 2018) (5) Planet mass. For the non-PDS 70 planets (first 22 entries), the quoted range in MpM_{\rm p} corresponds to disc viscosities α=105103\alpha=10^{-5}-10^{-3}, scaled from the gap-fitting, two-fluid, planet-disc simulations of Zhang et al. (2018) and Dong & Fung (2017) (see section 2.4.1). The ranges on MpM_{\rm p} for PDS 70b and c roughly cover values inferred from infrared photometry and cooling models (Müller et al., 2018; Keppler et al., 2018; Wang et al., 2020). (6) Gas surface density at the planet’s location, as inferred from C18O emission (Nomura et al., 2021; Zhang et al., 2021; Favre et al., 2019; Fedele et al., 2017; Isella et al., 2016; Facchini et al., 2021). The quoted ranges on Σgas\Sigma_{\rm gas} in AS 209, IM Lup, HD 163296, and TW Hya accommodate the possibility that the CO:H2 abundance ratio in these discs is lower than in the ISM (Zhang et al., 2019; Calahan et al., 2021; Zhang et al., 2021). (7) Dust surface density at the planet’s location (Huang et al., 2018; Nomura et al., 2021; Fedele et al., 2017; Benisty et al., 2021) accounting for an assumed factor of 7 uncertainty in opacity. Because most gaps are only marginally resolved in mm continuum emission we are likely overestimating Σdust\Sigma_{\rm dust} (see section 2.2). Daggers (\dagger) mark the five gaps which Jennings et al. (2021) found to have lower dust continuum intensities and hence lower Σdust\Sigma_{\rm dust} than Huang et al. (2018) found. (8) Disc aspect ratio, mostly taken from Zhang et al. (2018) except for those marked with an asterisk (see section 2.3). The values for taget_{\rm age}, MpM_{\rm p}, Σgas\Sigma_{\rm gas}, Σdust\Sigma_{\rm dust}, and h/rh/r are uncertain and quoted to only one significant figure.

2 Observational Data

Table 1 compiles disc and candidate planet properties taken directly from the literature or derived therefrom. Quantities of interest include the host stellar mass MM_{\star} and planet mass MpM_{\rm p}, the gas and dust surface densities Σgas\Sigma_{\rm gas} and Σdust\Sigma_{\rm dust} at planet orbital distance rr, and the local disc aspect ratio h/rh/r. To the nineteen DSHARP protoplanets modeled by Zhang et al. (2018) we add the one candidate protoplanet in HD 169142 (Dong & Fung, 2017), the two candidates in TW Hya (Dong & Fung, 2017), and the two confirmed planets in PDS 70 (Keppler et al., 2018; Haffert et al., 2019).

2.1 Gas surface densities Σgas\Sigma_{\rm gas}

We focus on systems for which emission from optically thin C18O has been spatially resolved. More abundant isotopologues of CO are usually optically thick (including 13CO; van der Marel et al. 2015; Favre et al. 2019) and as such yield only lower limits on Σgas\Sigma_{\rm gas}. Hydrogen surface densities derived from C18O emission are nonetheless uncertain. The gas-phase CO:H2 abundance ratio XCOX_{\rm CO} is hard to determine; it may be lower in protoplanetary discs than in the interstellar medium (ISM) because of condensation of CO onto dust grains or chemistry driven by cosmic rays (e.g. Schwarz et al. 2018). We will try to account for the possibility of gas-phase CO depletion in what follows. Surface densities at the centers of gaps where planets supposedly reside may also be overestimated if gaps are spatially underresolved, with emission from gap edges contaminating the emission at gap center. Such contamination might not be too serious for the gaps considered in this subsection, whose radial widths are larger (marginally) than the corresponding ALMA beams. Also, simulations predict gas density variations less than a factor of 10 across gaps for Mp60MM_{\rm p}\lesssim 60\,M_{\oplus} (e.g. Dong et al. 2017, top left panel of their figure 8).

Of the twenty-four planets in our sample we have measurements of Σgas\Sigma_{\rm gas} based on C18O emission (in conjunction with other emission lines) for nine planets in six systems.

2.1.1 Gas surface density: AS 209

The protoplanetary disc around AS 209 has five annular gaps in dust continuum emission at orbital radii r9, 24, 35, 61,r\approx 9,\,24,\,35,\,61, and 9999 au (Guzmán et al., 2018; Huang et al., 2018). Zhang et al. (2018) demonstrated that the four gaps from 249924-99 au can be produced by a single planet situated within the outermost gap at 99 au (see their figure 19). Favre et al. (2019) and Zhang et al. (2021) observed a broad gap in C18O (2-1) emission extending from \sim60 to 100 au. Favre et al. (2019) modeled the emission using the DALI thermo-chemical code (Bruderer, 2013) and took the gas density profile to include two gaps coincident with the dust gaps at 61 and 99 au. They showed these two gas gaps could be smeared by the ALMA beam into a single wide gap like that observed in molecular emission. At the bottom of the 99 au gap where the planet is believed to reside, they fitted Σgas0.040.08g/cm2\Sigma_{\rm gas}\approx 0.04-0.08\,\rm g/cm^{2} (see the blue and green curves in their figure 6).

Zhang et al. (2021) modeled the C18O emission using the thermo-chemical code RAC2D (Du & Bergin, 2014), including only a single gap. They initialized their models with an ISM-like XCOX_{\rm CO} which decreased from CO freeze-out and chemistry over the simulation duration of 1 Myr. They found Σgas0.08g/cm2\Sigma_{\rm gas}\approx 0.08\,\rm g/cm^{2} at 99 au (their figure 16), similar to Favre et al. (2019). Zhang et al. (2021) also considered the possibility that there is no gap in H2 and that the observed gap in C18O is due to XCOX_{\rm CO} being somehow locally depleted beyond the predictions of RAC2D. Assuming a total gas-to-dust ratio of 1010 by mass (their table 2), they estimated in this super-depleted XCOX_{\rm CO} scenario Σgas0.4g/cm2\Sigma_{\rm gas}\approx 0.4\,\rm g/cm^{2} at 99 au (their figure 5; see also Alarcón et al. 2021 who advocated on separate grounds for a depleted CO:H2 ratio in AS 209).

We combine the results of Favre et al. (2019) and Zhang et al. (2021) to consider Σgas=0.040.4g/cm2\Sigma_{\rm gas}=0.04-0.4\,\rm g/cm^{2} for the gap AS 209-G2 at r=99r=99 au (Table 1).

2.1.2 Gas surface density: HD 163296

Dust continuum observations of HD 163296 reveal gaps centred at 10, 48, and 86 au (Isella et al., 2016; Huang et al., 2018), each opened by a separate planet according to Zhang et al. (2018). Isella et al. (2016) fitted the emission at r25r\gtrsim 25 au from three CO isotopologues assuming an ISM-like value of XCOX_{\rm CO} and found Σgas2.510g/cm2\Sigma_{\rm gas}\approx 2.5-10\,\rm g/cm^{2} at 48 au and Σgas0.12g/cm2\Sigma_{\rm gas}\approx 0.1-2\,\rm g/cm^{2} at 86 au (their figure 2, blue curve; note the gap radii in their figure are about 20% larger than the values we use because they used a pre-GAIA source distance). The thermo-chemical models of Zhang et al. (2021) predict roughly consistent values of Σgas1g/cm2\Sigma_{\rm gas}\approx 1\,\rm g/cm^{2} and Σgas0.6g/cm2\Sigma_{\rm gas}\approx 0.6\,\rm g/cm^{2} respectively (see their figure 16). If instead the CO:H2 abundance is much lower than predicted by their models and the gas-to-dust ratio is 6060 (their table 2), then Σgas40g/cm2\Sigma_{\rm gas}\approx 40\,\rm g/cm^{2} and Σgas 20g/cm2\Sigma_{\rm gas}\approx\,20\,\rm g/cm^{2} (their figure 5).

The above estimates of Σgas\Sigma_{\rm gas} are combined to yield the full ranges quoted in Table 1, Σgas=140g/cm2\Sigma_{\rm gas}=1-40\,\rm g/cm^{2} for HD 163296-G2 at 48 au, and Σgas=0.120g/cm2\Sigma_{\rm gas}=0.1-20\,\rm g/cm^{2} for HD 163296-G3 at 86 au.

2.1.3 Gas surface density: IM Lup

IM Lup presents a shallow gap at r117r\approx 117 au in millimeter continuum images (Huang et al., 2018) which Zhang et al. (2018) attributed to a 10-30 MM_{\oplus} planet. Zhang et al. (2021) found Σgas0.1g/cm2\Sigma_{\rm gas}\approx 0.1\,\rm g/cm^{2} in their RAC2D modeling which includes CO freeze-out and chemistry (their figure 16). Alternatively, for a super-depleted CO:H2 scenario and gas-to-dust ratio of 100 (their table 2), Σgas10g/cm2\Sigma_{\rm gas}\approx 10\,\rm g/cm^{2} (their figure 5). We allow for both possibilities and take Σgas=0.110g/cm2\Sigma_{\rm gas}=0.1-10\,\rm g/cm^{2}.

2.1.4 Gas surface density: HD 169142

HD 169142 features an annular gap at 50 au in near-infrared scattered light (Quanz et al., 2013) and mm-wave continuum emission (Fedele et al., 2017). In C18O emission, Fedele et al. (2017) found evidence for a cavity inside r50r\approx 50 au and used DALI to infer Σgas0.10.2g/cm2\Sigma_{\rm gas}\approx 0.1-0.2\,\rm g/cm^{2} near the cavity outer edge (their figure 5, top left panel, blue curve). Midplane gas temperatures according to the same thermo-chemical model (figure 5, bottom center panel) are \sim304030-40 K, higher than the CO freeze-out temperature of \sim20 K. CO may still be depleted for other reasons (Schwarz et al. 2018) but without a model we cannot quantify the uncertainty.

2.1.5 Gas surface density: TW Hya

Near-infrared scattered light images reveal annular gaps at r21r\approx 21 au (TW Hya-G1) and 85 au (TW Hya-G2) (van Boekel et al., 2017). The inner gap may also have been detected in the mm continuum by Andrews et al. (2016), albeit slightly outside the gap in scattered light (their figure 2). Nomura et al. (2021) studied TW Hya in the J=32J=3-2 transition of C18O. Near the inner gap they measured a wavelength-integrated line flux of 5 mJy beam-1 km s-1 (their figure 2, middle panel, orange curve). We extrapolate their radial intensity profile, which cuts off at 80 au, to the outer gap at 85 au and estimate there a flux of 1 mJy beam-1 km s-1. Using temperatures of 60 K and 20 K for the inner and outer gaps respectively (section 2.3.3), we convert these fluxes to C18O column densities (e.g. Mangum & Shirley, 2015, their equation B2). Then assuming XCO=104X_{\rm CO}=10^{-4} and a 18O:16:^{16}O gas-phase abundance ratio of 2×1032\times 10^{-3} (e.g. Qi et al., 2011), we calculate Σgas=0.04g/cm2\Sigma_{\rm gas}=0.04\,\rm g/cm^{2} and 0.008g/cm20.008\,\rm g/cm^{2} for the two gaps. These surface densities could be underestimated by factors of 70 and 30 (assuming a gas-to-dust ratio of 100), respectively, if CO is somehow super-depleted (Zhang et al. 2019, their figure 8, second panel, blue curve). Thus we have Σgas0.042.8g/cm2\Sigma_{\rm gas}\approx 0.04-2.8\,\rm g/cm^{2} for TW Hya-G1 and Σgas0.0080.24g/cm2\Sigma_{\rm gas}\approx 0.008-0.24\,\rm g/cm^{2} for TW Hya-G2.

2.1.6 Gas surface density: PDS 70

Facchini et al. (2021) studied PDS 70 in the J=21J=2-1 transition of C18O\rm C^{18}O, but the beam size at this wavelength was too large to resolve the cavity within which the two planets reside. We therefore resort to using the C18O emission just outside the cavity to place an upper limit on the gas surface density near the planets. Following the same procedure as for TW Hya, we convert the observed C18O flux outside the cavity into an H2 surface density. We use 30 K as the gas excitation temperature at 80 au, close to the H2CO excitation temperature measured by Facchini et al. (2021, their figure 7). The gas surface density so derived is Σgas=8×102g/cm2\Sigma_{\rm gas}=8\times 10^{-2}\,\rm g/cm^{2}. We pair this upper limit with a lower limit derived from optically thick 12CO in the J=32J=3-2 transition. The smaller beam associated with the higher frequency of this transition allowed the cavity to be resolved by Facchini et al. (2021). Near the positions of the planets at r2234r\sim 22-34 au, the observed 12CO line flux is 37 K km s-1, which for an assumed temperature of T60T\sim 60 K (scaled from 30 K at 80 au using Tr3/7T\propto r^{-3/7} for a passively irradiated disk; Chiang & Goldreich 1997) yields a lower bound on Σgas\Sigma_{\rm gas} of 8×104g/cm28\times 10^{-4}\,\rm g/cm^{2}. The temperatures quoted above are high enough to avoid CO freeze-out, though we cannot rule out that gas-phase CO is depleted from other effects (Schwarz et al., 2018).

2.2 Dust surface densities Σdust\Sigma_{\rm dust}

The dust surface density Σdust\Sigma_{\rm dust} and the dust optical depth τ\tau (typically evaluated at mm wavelengths) are related by

Σdust=τκ.\Sigma_{\rm dust}=\frac{\tau}{\kappa}. (1)

The opacity κ\kappa depends on the grain size distribution. We allow κ\kappa to range from 0.4 to 3 cm2 per gram of dust,222The ALMA continuum data used in our study were taken at wavelengths ranging from 0.85 mm to 1.27 mm. Our adopted factor-of-seven uncertainty in κ\kappa is larger than the expected variation of κ\kappa across this wavelength range (at fixed grain size), so for simplicity we ignore the wavelength dependence on κ\kappa when computing Σdust\Sigma_{\rm dust} from the ALMA observations. following model size distributions by Birnstiel et al. (2018) which include grains up to 1 cm in size. For a given temperature TT, we infer τ\tau from the specific intensity IνI_{\nu}:

Iν=Bν(T)(1eτ)I_{\nu}=B_{\nu}(T)\left(1-e^{-\tau}\right) (2)

where Bν(T)B_{\nu}(T) is the Planck function.

Surface densities may be overestimated inside gaps that are spatially underresolved. This may be a much more serious problem for Σdust\Sigma_{\rm dust} than for Σgas\Sigma_{\rm gas} (cf. section 2.1) because simulations predict dust surface densities to vary by orders of magnitude across gaps carved by Mp10MM_{\rm p}\gtrsim 10\,M_{\oplus} planets, with dust gradients steepened by aerodynamic drag (e.g. figure 1 of Paardekooper & Mellema 2004; figure 8 of Dong et al. 2017; figure 4 of Binkert et al. 2021). We caution that the values of Σdust\Sigma_{\rm dust} we derive may therefore be grossly overestimated. See also Jennings et al. (2021), whose work we describe below.

2.2.1 Dust surface density: DSHARP systems

For all nineteen of the DSHARP planets, we estimate Σdust\Sigma_{\rm dust} at gap center using equation (1) and the optical depth profiles in figure 6 of Huang et al. (2018).

Three of the DSHARP gaps, AS 209-G2 (r=99r=99 au), Elias 24 (5757 au), and HD 143006-G1 (2222 au), have bottoms that fall below the 2σ\sigma noise floor at τ=102\tau=10^{-2}, although apparently only marginally so. For Elias 24 and HD 143006-G1, we set τ=102\tau=10^{-2}. For AS 209-G2, while portions of the gap lie below the noise floor, at gap center there is actually a local maximum (ring) of emission that rises above the noise. We use the peak optical depth of this ring, τ2×102\tau\approx 2\times 10^{-2}, to evaluate Σdust\Sigma_{\rm dust}. The “W"-shaped gap profile for AS 209-G2 resembles transient structures found in two-fluid simulations of low-mass planets embedded in low-viscosity discs (Dong et al., 2017; Zhang et al., 2018).

In their re-analysis at higher spatial resolution of the DSHARP data, Jennings et al. (2021, their figure 12) found evidence for deeper dust gaps than originally measured by Huang et al. (2018) for GW Lup, HD 163296-G2, SR 4, AS 209-G1, and HD 143006-G1. The re-analyzed gaps in the mm continuum are deeper by at least a factor of 10 and in most cases much more. We make a note of these sources in Table 1, but continue to use the Huang et al. (2018) results to compute Σdust\Sigma_{\rm dust} for consistency with the rest of our analysis.

2.2.2 Dust surface density: TW Hya

For TW Hya-G1 at 21 au we calculate Σdust=0.060.4g/cm2\Sigma_{\rm dust}=0.06-0.4\,\rm g/cm^{2} using equations (1)-(2) with Iν=10I_{\nu}=10 mJy beam-1 (figure 2, middle panel, purple curve of Nomura et al. 2021) and T=60T=60 K (section 2.3.3). For TW Hya-G2 at 85 au we estimate Σdust=0.0020.02g/cm2\Sigma_{\rm dust}=0.002-0.02\,\rm g/cm^{2} using Iν101I_{\nu}\sim 10^{-1}\, mJy beam-1 (this is an extrapolation of the intensity profile measured by Nomura et al. 2021 which does not extend beyond \sim70 au) and T=20T=20 K. Our estimates of Σdust\Sigma_{\rm dust} are consistent with those plotted in figure 3 of Nomura et al. (2021).

2.2.3 Dust surface density: HD 169142 and PDS 70

For the gap in HD 169142 and central clearing in PDS 70, the continuum emission falls below the 3σ\sigma noise floor of the observations (0.21 mJy beam-1 and 0.0264 mJy beam-1, respectively; Fedele et al. 2017; Benisty et al. 2021). For assumed temperatures of T=40T=40 K in HD 169142 and T=60T=60 K in PDS 70, the corresponding upper limits on the dust column are Σdust102g/cm2\Sigma_{\rm dust}\leq 10^{-2}\,\rm g/cm^{2} and Σdust2×102g/cm2\Sigma_{\rm dust}\leq 2\times 10^{-2}\,\rm g/cm^{2}, respectively.

2.3 Disc scale height hh

2.3.1 Disc scale height: DSHARP systems

For most of the DSHARP sample, we adopt the h/rh/r estimates listed in table 3 of Zhang et al. (2018), computed assuming a passive disc irradiated by its host star. For AS 209-G2, all three gaps in HD 163296, and IM Lup, we use more sophisticated estimates of h/rh/r from table 2 of Zhang et al. (2021). In AS 209, Zhang et al. (2021) used the observed 13CO emission surface to fit for h/r=0.06(r/100au)0.25h/r=0.06(r/100\,\rm au)^{0.25} (since their CO isotopologue data do not extend down to AS 209-G1 at 9 au, we only apply this scale height relation to AS 209-G2 at 99 au). Note that Zhang et al. (2018) found a similar value, h/r=0.05h/r=0.05 at 99 au, reproduced the multi-gap structure of AS 209. For HD 163296 and IM Lup, Zhang et al. (2021) obtained excellent fits to the spectral energy distributions (their figure 4) using h/r=0.084(r/100au)0.08h/r=0.084(r/100\,\rm au)^{0.08} and h/r=0.1(r/100au)0.17h/r=0.1(r/100\,\rm au)^{0.17}, respectively.333 The values of hh obtained by Zhang et al. (2021), if interpreted as a standard isothermal hydrostatic disc gas scale height, imply gas temperatures that differ from the gas temperatures obtained from thermo-chemical and radiative transfer modeling by these same authors (their figure 7). This is because the latter temperatures are solved assuming a fixed density field (specified by hh), and no provision is made to iterate the density field to ensure simultaneous hydrostatic and radiative equilibrium. There is no rigorous justification for using either set of temperatures to compute the gas scale height; we use hh as tabulated by Zhang et al. (2021) for convenience (their parameters H100H_{100} and ψ\psi in table 2, inserted into their equation 3 with χ=1\chi=1).

2.3.2 Disc scale height: HD 169142

Fedele et al. (2017) simultaneously fitted the surface density and temperature profiles in HD 169142. We use their aspect ratio of h/r=0.07h/r=0.07 at the gap position; this is similar to the value of h/r=0.08h/r=0.08 found by Dong & Fung (2017) in fitting the gap width to their planet-disk simulations. The aspect ratio relates to the disc midplane temperature following h/r=cs/(Ωr)h/r=c_{s}/(\Omega r) where cs=kT/μmpc_{s}=\sqrt{kT/\mu m_{\rm p}} is the sound speed, μ=2.4\mu=2.4 is the mean molecular weight, kk is Boltzmann’s constant, mpm_{\rm p} is the proton mass, Ω=GM/r3\Omega=\sqrt{GM_{\star}/r^{3}} is the Keplerian orbital frequency, and GG is the gravitational constant. The implied temperature at the gap position is 40 K.

2.3.3 Disc scale height: TW Hya

Calahan et al. (2021) obtained a good fit to the spectral energy of TW Hya using h/r=0.11(r/400au)0.1h/r=0.11\,(r/400\,\rm au)^{0.1} (their figure 5). From this scaling we calculate h/r=0.08h/r=0.08 and h/r=0.09h/r=0.09 at the inner (r=21r=21 au) and outer (r=85r=85 au) gap positions, respectively. These aspect ratios correspond to temperatures of 58 K and 20 K.

2.3.4 Disc scale height: PDS 70

Absent direct estimates of the temperature in the PDS 70 cavity, we estimate the disc scale height using arguments similar to those in section 2.1.6. Facchini et al. (2021) derived an H2CO excitation temperature near the disc midplane of 33 K at 80 au (see their figure 7). Setting this equal to the gas kinetic temperature there, we calculate h=cs/Ωh=c_{s}/\Omega at 80 au, and then scale to the location of the planets assuming h/rr2/7h/r\propto r^{2/7} (Chiang & Goldreich, 1997). We find h/r=0.07h/r=0.07 and 0.08 at the locations of PDS 70b and c. Keppler et al. (2018) found a similar temperature profile in their radiative transfer models of the PDS 70 disc.

2.4 Planet and stellar masses

2.4.1 Planet masses MpM_{\rm p} and stellar masses MM_{\star}: DSHARP systems

Zhang et al. (2018) used their grid of planet-disk hydrodynamical simulations to estimate the planet masses that can reproduce the radial widths and in some cases the radial positions of DSHARP gaps. Their table 3 gives MpM_{\rm p} for different dust grain size distributions and the Shakura & Sunyaev (1973) viscosity parameter α\alpha. Here we consider α=105103\alpha=10^{-5}-10^{-3}. Values of α102\alpha\gtrsim 10^{-2} appear incompatible with various mm-wave observations (Pinte et al., 2016; Teague et al., 2016; Flaherty et al., 2017) including the multi-gap structure of some discs (Dong et al., 2017; Zhang et al., 2018). Planet masses inferred by Zhang et al. (2018) increase with viscosity as Mpα1/3M_{\rm p}\propto\alpha^{1/3}; more massive planets are required to counteract faster diffusion of gas to open the same width gap. Thus to obtain an upper limit on MpM_{\rm p} we use the entries corresponding to α=103\alpha=10^{-3} in table 3 of Zhang et al. (2018), and for a lower limit we take their MpM_{\rm p} values for α=104\alpha=10^{-4} and divide by two in a crude extrapolation down to α=105\alpha=10^{-5}. This procedure gives a range on MpM_{\rm p} that typically spans a factor of 8, and that encompasses the variation in MpM_{\rm p} due to different dust size distributions.

For HD 163296-G3, we increase the upper bound on MpM_{\rm p} to 1MJ1M_{\rm J} based on the fit to non-Keplerian kinematical data from Teague et al. (2018) and Teague et al. (2021). Note that their mass estimate is based on planet-disc simulations assuming α=103\alpha=10^{-3}, and that lowering α\alpha lowers the planet mass required to reproduce the same non-Keplerian velocity signature (Mpα0.41M_{\rm p}\propto\alpha^{0.41} according to equation 16 of Zhang et al. 2018). For Elias 24, the MpM_{\rm p} range in Table 1 overlaps with mass estimates inferred from infrared photometry of an unconfirmed point source at r55r\approx 55 au (Jorquera et al. 2021). The candidate point source in HD 163296 is located at r67r\approx 67 au (Guidi et al. 2018) and as such cannot be identified with the planets inferred at r48r\approx 48 and 86 au (Zhang et al. 2018) of interest here.

For most of the DSHARP systems we use stellar masses derived from stellar evolution tracks and listed in table 1 of Andrews et al. (2018). For IM Lup, AS 209, and HD 163296 we use instead M=1.2, 1.1,M_{\star}=1.2,\,1.1, and 2.0M2.0\,M_{\odot} respectively, calculated from gas disc rotation curves by Teague et al. (2021) as part of the MAPS survey (Oberg et al., 2021).

2.4.2 Planet and stellar masses: HD 169142 and TW Hya

By comparing the observed gaps in HD 169142 and TW Hya with their grid of planet-disk simulations, Dong & Fung (2017) estimated planet masses of Mp=0.22MJM_{\rm p}=0.2-2\,M_{\rm J} in HD 169142, 0.050.5MJ0.05-0.5\,M_{\rm J} in TW Hya-G1, and 0.030.3MJ0.03-0.3\,\,M_{\rm J} in TW Hya-G2. These values were derived for viscosities α=104102\alpha=10^{-4}-10^{-2}. For consistency with our adopted range of α=105103\alpha=10^{-5}-10^{-3} (see section 2.4.1), we apply the same Mpα1/3M_{\rm p}\propto\alpha^{1/3} scaling from Zhang et al. (2018) and shift all limits from Dong & Fung (2017) down by a factor of two.

The stellar masses of HD 169142 and TW Hya are M=1.65MM_{\star}=1.65\,M_{\odot} and M=0.8MM_{\star}=0.8\,M_{\odot}, respectively (Blondel & Djie, 2006; Ducourant et al., 2014).

2.4.3 Planet and stellar masses: PDS 70

Masses of PDS 70b and c derived from near-infrared spectral energy distributions and cooling models vary widely (Müller et al., 2018; Keppler et al., 2018; Christiaens et al., 2019; Mesa et al., 2019; Wang et al., 2020; Stolker et al., 2020). For simplicity we take Mp=110MJM_{\rm p}=1-10\,M_{\rm J} for both planets, which brackets most literature estimates relying on cooling models.444In later sections, and in particular the discussion surrounding Figures 5 and 6, we will consider the possibility that the observed near-infrared emission does not arise from a planet passively cooling into empty space (as assumed by the cooling models) but one which sits below a hot accretion shock boundary layer. In this scenario our adoption of planetary masses for PDS 70b and c drawn from the passive cooling models will lead to an inconsistency. Our hope is that our estimated mass range of 110MJ1-10\,M_{\rm J} is not seriously impacted; it should not be as long as the posited accretion luminosities are not much larger than the observed near-infrared luminosities (104L10^{-4}L_{\odot}; Wang et al. 2020). It may also help to have the accretion columns be localized to “hot spots” on the planet, like they are for magnetized T Tauri stars (e.g. Gregory et al. 2006), leaving the rest of the planet passively cooling. This range is consistent with masses for PDS 70b derived by Wang et al. (2021) based on dynamical stability constraints. They calculated a 95% upper limit of 10 MJM_{\rm J}, with roughly equal probability per log mass from 1-10 MJM_{\rm J} (see their figure 5).

The mass of the star is M=0.88MM_{\star}=0.88\,M_{\odot} (Keppler et al., 2019).

Refer to caption
Figure 1: Top panel: Gas surface density Σgas\Sigma_{\rm gas} at the centers of gaps hypothesized (confirmed for PDS 70) to host planets, for the subset of systems detected in C18O. System names on the horizontal axis are followed by “G#” to identify a specific gap in systems with multiple gaps, and by the planet’s orbital radius rr in units of au in parentheses. Systems are listed in order of increasing host stellar mass MM_{\star}, except for PDS 70 which as the only transitional disc in our sample is placed at the end. For TW Hya we estimate Σgas\Sigma_{\rm gas} from the C18O line flux (Nomura et al., 2021), while for AS 209, IM Lup, HD 169142, and HD 163296 Σgas\Sigma_{\rm gas} derives from detailed thermo-chemical modeling (Favre et al., 2019; Zhang et al., 2021; Fedele et al., 2017; Isella et al., 2016). For PDS 70, we bound Σgas\Sigma_{\rm gas} using the C18O 2-1 flux outside the disc cavity and the 12CO 3-2 flux inside the cavity (Facchini et al., 2021). Middle panel: Planet masses MpM_{\rm p}. For the non-PDS 70 planets MpM_{\rm p} is drawn from gap-fitting simulations by Zhang et al. (2018) and Dong & Fung (2017) scaled to viscosities α=105103\alpha=10^{-5}-10^{-3}. For PDS 70b and c, Mp=110MJM_{\rm p}=1-10\,M_{\rm J} roughly encompasses values from cooling models (e.g. Haffert et al., 2019). Bottom panel: Mass doubling times tdoubleMp/M˙pt_{\rm double}\equiv M_{\rm p}/\dot{M}_{\rm p} calculated assuming accretion at the Bondi rate (equation 3). Accretion rates M˙p\dot{M}_{\rm p} are evaluated using Σgas\Sigma_{\rm gas} and MpM_{\rm p} as above, plus hh and rr compiled in Table 1. Error bars account for uncertainties in Σgas\Sigma_{\rm gas} and MpM_{\rm p}, with tdouble1/(MpΣgas)t_{\rm double}\propto 1/(M_{\rm p}\Sigma_{\rm gas}). Eight of the nine hypothesized planets may have tdoublet_{\rm double} comparable to their system age taget_{\rm age}, a plausible result that if true suggests these planets are undergoing their last doublings.
Refer to caption
Figure 2: Top panel: Same as the middle panel of Figure 1, with MpM_{\rm p} now plotted for all 24 planets in our sample. Bottom panel: Same as the top panel of Figure 1, with red points added to mark Σgas\Sigma_{\rm gas} predicted from equation (5). The prediction assumes that each planet is accreting at the Bondi-like rate given by (3) and that M˙p=Mp/tage\dot{M}_{\rm p}=M_{\rm p}/t_{\rm age} (equivalently tdouble=taget_{\rm double}=t_{\rm age}; for Elias 24 we use the upper limit on taget_{\rm age}). The last equality is motivated by the bottom panel of Figure 1. The evaluation of (5) uses MpM_{\rm p} in the top panel plus rr and hh listed in Table 1. Red error bars reflect the range of MpM_{\rm p} values considered.
Refer to caption
Figure 3: Top panel: Same as the top panel of Figure 1 but plotting dust surface densities Σdust\Sigma_{\rm dust} inside gaps based on observed mm continuum intensities (Huang et al. 2018), assuming the dust is optically thin. Error bars account for a factor of seven uncertainty in the grain opacity but do not account for the limited spatial resolution of the observations which may lead to Σdust\Sigma_{\rm dust} being overestimated. For HD 169142 and PDS 70, we plot upper limits on Σdust\Sigma_{\rm dust} set by the noise floor of the observations (Fedele et al., 2017; Benisty et al., 2021). Bottom panel: Gap dust-to-gas ratios Σdust/Σgas\Sigma_{\rm dust}/\Sigma_{\rm gas}. In black we combine the values of Σdust\Sigma_{\rm dust} with Σgas\Sigma_{\rm gas} inferred from C18O intensity maps (Figure 1, top panel). In red we use the same Σdust\Sigma_{\rm dust} data but take Σgas\Sigma_{\rm gas} from equation (5), which presumes that planets accrete in a Bondi-like way with growth timescales Mp/M˙pM_{\rm p}/\dot{M}_{\rm p} equal to system ages (Figure 2, red points). The shaded bar covers the range of dust-to-gas ratios found inside gaps opened by planets with Mp>10MM_{\rm p}>10M_{\oplus} in two-fluid simulations by Dong et al. (2017). Many of the empirical data lie outside the simulated range, possibly because dust gaps are still underresolved by ALMA and therefore Σdust\Sigma_{\rm dust} is overestimated. In support of this idea, Jennings et al. (2021) re-analyzed the DSHARP data and found deeper bottoms to the dust gaps in GW Lup, SR 4, AS 209-G1, HD 143006-G1, and HD 163296-G2.

3 Planetary Accretion Rates and
Gap Properties

Most of the gap-opening planets in our sample have inferred masses large enough that the self-gravity of their gas envelopes should be significant. In this regime, further accretion of gas from the disc may no longer be limited by Kelvin-Helmholtz cooling of the envelope but may instead be regulated by the hydrodynamics of the surrounding nebula. Hydrodynamical forces include, in principle, pressure, planetary gravity, stellar tides, and rotation, all in 3D. The simplest form of hydrodynamical accretion is Bondi accretion, which describes spherically symmetric (zero angular momentum) flow onto a point mass (e.g. Frank et al., 2002). For a point mass embedded in a disc, the Bondi rate is given by:

M˙p=0.25Ωr2(MpM)2(hr)4Σgas\displaystyle\dot{M}_{\rm p}=0.25\Omega r^{2}\left(\frac{M_{\rm p}}{M_{\star}}\right)^{2}\left(\frac{h}{r}\right)^{-4}\Sigma_{\rm gas} (3)

(e.g. Ginzburg & Chiang 2019a). While it ignores many effects, Bondi accretion appears to fit the results of 3D isothermal hydrodynamic simulations of accreting planets by D’Angelo et al. (2003), both in magnitude and in the Mp2M_{\rm p}^{2} scaling (see figure 1 of Tanigawa & Tanaka 2016 which re-prints their data). We have inserted in equation (3) a factor of 0.25 to match the normalization of the M˙pMp2\dot{M}_{\rm p}\propto M_{\rm p}^{2} relation measured by D’Angelo et al. (2003) at Mp30MM_{\rm p}\lesssim 30\,M_{\oplus}. These authors found that at higher masses, M˙p(Mp)\dot{M}_{\rm p}(M_{\rm p}) flattens away from an Mp2M_{\rm p}^{2} scaling; this flattening is due to the conflating effect of gap opening, i.e. Σgas\Sigma_{\rm gas} in equation (3) decreases with MpM_{\rm p} for masses 30M\gtrsim 30\,M_{\oplus} as deeper gaps are opened. Note that the accretion rates measured by D’Angelo et al. (2003) may be sensitive to their mass removal prescription, which reduces the mass density inside the innermost \sim10% of the planet’s Hill sphere by some fraction every simulation timestep. This prescription effectively renders the planet a sink cell and maximizes M˙p\dot{M}_{\rm p}.

The corresponding planet mass doubling time is

tdouble\displaystyle t_{\rm double} MpM˙p.\displaystyle\equiv\frac{M_{\rm p}}{\dot{M}_{\rm p}}. (4)

We test the theory of planet accretion (Bondi accretion) by comparing the doubling time tdoublet_{\rm double} to the age of the system taget_{\rm age}. We expect tdoubletaget_{\rm double}\gtrsim t_{\rm age}. Steady and ongoing growth over the planet’s age corresponds to tdouble/tage1t_{\rm double}/t_{\rm age}\sim 1 (equivalently M˙pMp/tage\dot{M}_{\rm p}\sim M_{\rm p}/t_{\rm age}). Alternatively, we may be observing the planet after it has largely finalized its mass, in which case tdouble>taget_{\rm double}>t_{\rm age}. We would not expect to find tdoubletaget_{\rm double}\ll t_{\rm age} as a planet is unlikely to be caught in a short-lived episode of significant growth.

3.1 Bondi accretion rates M˙p\dot{M}_{\rm p} from C18O, and tdoublet_{\rm double} vs. taget_{\rm age}

Figure 1 plots the ratio tdouble/taget_{\rm double}/t_{\rm age} for each of the nine protoplanets with Σgas\Sigma_{\rm gas} measured from C18O observations (section 2.1). We find that tdouble/taget_{\rm double}/t_{\rm age} appears in the majority of cases to be consistent with unity, although the error bars, which reflect the combined uncertainty in Σgas\Sigma_{\rm gas} and MpM_{\rm p}, are large. The result tdouble/tage1t_{\rm double}/t_{\rm age}\sim 1 is physically plausible and indicates that the planets are currently accreting at rates M˙p\dot{M}_{\rm p} close to the values time-averaged over their system ages, M˙pMp/tage\dot{M}_{\rm p}\sim M_{\rm p}/t_{\rm age}. For TW Hya-G1, AS 209-G2, HD 169142, and HD 163296-G3, tdouble/tage1t_{\rm double}/t_{\rm age}\sim 1 if Mp1030MM_{\rm p}\sim 10-30\,M_{\oplus} and Σgas0.1g/cm2\Sigma_{\rm gas}\sim 0.1\,\rm g/cm^{2}, near the lower ends of their ranges in Table 1. Lower planet masses imply lower disc viscosities (α105\alpha\sim 10^{-5}) insofar as Mpα1/3M_{\rm p}\propto\alpha^{1/3} (Zhang et al. 2018 and section 2.4.1). Lower gas surface densities argue against speculative super-depleted CO scenarios and support thermo-chemical models (DALI, Bruderer 2013; RAC2D, Du & Bergin 2014) that account for the usual ways that CO can be depleted, freeze-out and chemistry.

The gap HD 163296-G2 at r=48r=48 au does not meet our expectation that tdouble/tage1t_{\rm double}/t_{\rm age}\gtrsim 1. For this case the computed value of tdouble/tage101t_{\rm double}/t_{\rm age}\lesssim 10^{-1} is driven by the large Jupiter-scale mass that Zhang et al. (2018) inferred from the observed deep and wide dust gap (Isella et al. 2016; Huang et al. 2018). Such a massive planet seems inconsistent with there being hardly any depression in the gas at this location (Zhang et al. 2021, their figure 16 and section 4.3.2). Rodenkirch et al. (2021) modeled the HD 163296 disc and found that a Jovian-mass planet at 48 au would deplete the gas density by a factor of \sim10 for α=2×104\alpha=2\times 10^{-4} (their figure 5). We speculate that a planet much less massive than Jupiter might reproduce the dust and gas observations and bring tdoublet_{\rm double} into closer agreement with taget_{\rm age}, if such a lower-mass planet caused only modest gas pressure variations that led to stronger dust variations via aerodynamic drift (Paardekooper & Mellema, 2004; Dong et al., 2017; Drążkowska et al., 2019; Binkert et al., 2021). Another possibility is that there is no planet at all inside the HD 163296-G2 gap, as a planet can create gaps not centered on its orbit; figure 8 of Dong et al. (2018) explicitly models this scenario for HD 163296.

For PDS 70b and c, tdouble/tage1t_{\rm double}/t_{\rm age}\sim 1 implies M˙p6×1076×106MJyr1\dot{M}_{\rm p}\sim 6\times 10^{-7}-6\times 10^{-6}\,\,M_{\rm J}\,\rm yr^{-1} assuming Mp=3MJM_{\rm p}=3\,M_{\rm J}. These values are factors of 10-100 higher than estimates based on the observed U-band and Hα\alpha fluxes (e.g. Haffert et al., 2019; Zhou et al., 2021). Section 3.3 discusses possible reasons why.

3.2 Σgas\Sigma_{\rm gas} and Σdust\Sigma_{\rm dust}

Fifteen of the twenty-four gaps in our sample lack published C18O data, precluding us from estimating Σgas\Sigma_{\rm gas} and by extension M˙p\dot{M}_{\rm p}. An alternate approach is to reverse the logic by first assuming that M˙pMp/tage\dot{M}_{\rm p}\sim M_{\rm p}/t_{\rm age} (i.e. assuming tdouble/tage1t_{\rm double}/t_{\rm age}\sim 1), inserting this accretion rate into equation (3), and solving for Σgas\Sigma_{\rm gas}:

Σgas=4Mpr21Ωtage(MMp)2(hr)4ifnoC18Odata.\Sigma_{\rm gas}=\frac{4M_{\rm p}}{r^{2}}\frac{1}{\Omega t_{\rm age}}\left(\frac{M_{\star}}{M_{\rm p}}\right)^{2}\left(\frac{h}{r}\right)^{4}\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,{\rm if\,no\,C}^{18}{\rm O\,data.} (5)

In other words, we assume the planets without C18O data are like the eight we identified in Figure 1 with C18O data showing evidence for tdoubletaget_{\rm double}\sim t_{\rm age} — we posit that all are actively accreting from their surrounding discs, and that none are being observed in a short-lived growth phase. We view the values of Σgas\Sigma_{\rm gas} so computed as predictions for future observations.

Figure 2 shows in red the gas surface densities predicted by equation (5). The values range from 104g/cm210^{-4}\,\rm g/cm^{2} to 1g/cm21\,\rm g/cm^{2}, with a factor of 2-10 uncertainty in any given system stemming from the adopted range of planet masses MpM_{\rm p}. Note that if tdouble/tage>1t_{\rm double}/t_{\rm age}>1, the red points shift down. Plotted in black for comparison are the Σgas\Sigma_{\rm gas} values inferred from the measured C18O fluxes (same data plotted in the top panel of Figure 1). In some systems the Σgas\Sigma_{\rm gas} predictions (red) overlap only with the lower end of values bracketed by the data (black) because tdouble/tage=1t_{\rm double}/t_{\rm age}=1 favors lower Σgas\Sigma_{\rm gas}, as mentioned at the beginning of section 3.1.

The top panel of Figure 3 displays Σdust\Sigma_{\rm dust} inferred from the mm continuum observations (section 2.2). The error bars account for a factor of 7 uncertainty in the grain opacity but not the potential overestimation of Σdust\Sigma_{\rm dust} from gaps being inadequately resolved (more discussion on this below). In the bottom panel, we combine these values of Σdust\Sigma_{\rm dust} with Σgas\Sigma_{\rm gas} inferred from C18O data to plot, in black, the empirical dust-to-gas ratios Σdust/Σgas\Sigma_{\rm dust}/\Sigma_{\rm gas}. The red points are semi-theoretical as they take Σgas\Sigma_{\rm gas} from Figure 2 as predicted by equation (5).

The shaded bar Σdust/Σgas<101\Sigma_{\rm dust}/\Sigma_{\rm gas}<10^{-1} in Figure 3 marks the range of dust-to-gas ratios found in simulated gaps (Dong et al. 2017). The simulations are initialized with spatially uniform dust-to-gas ratios near the solar value of \sim10-2. The ratios then evolve as aerodynamic drag causes dust to drift relative to gas. Across most of the gap, dust-to-gas ratios decrease as dust is diverted into local gas pressure maxima near gap edges. One gas pressure maximum coincides with the planet’s orbit at gap center. Dust that collects in this co-orbital gas ring raises Σdust/Σgas\Sigma_{\rm dust}/\Sigma_{\rm gas} to \sim0.1 (about ten times the solar value) for Mp=60MM_{\rm p}=60\,M_{\oplus} (Dong et al. 2017). Elsewhere within the gap, Σdust/Σgas102\Sigma_{\rm dust}/\Sigma_{\rm gas}\ll 10^{-2}. Such subsolar metallicities appear inconsistent with most of the data plotted in Figure 3.

The apparent disagreement between theory and observation could arise from some systematic error in MpM_{\rm p} or h/rh/r (ΣgasMp1(h/r)4\Sigma_{\rm gas}\propto M_{\rm p}^{-1}(h/r)^{4} according to equation 5). It could also point to an error in the simulations’ assumed initial condition of solar dust abundance. We think the most likely explanation is that the empirical values of Σdust\Sigma_{\rm dust} are overestimated because the dust gaps are underresolved. Figure 3 suggests the measurement error in Σdust\Sigma_{\rm dust} is at least a factor of 10-100. Errors of this magnitude are not necessarily surprising given how steep dust gradients can be in the simulations, especially for Mp>10MM_{\rm p}>10\,M_{\oplus} (Dong et al. 2017, third row of their figure 8). Indeed Jennings et al. (2021, their figure 12) re-analyzed the DSHARP data and found deeper bottoms to the dust gaps in GW Lup, SR 4, AS 209-G1, HD 143006-G1, and HD 163296-G2, in many instances by orders of magnitude relative to Huang et al. (2018).

Refer to caption
Figure 4: Predicted bolometric accretion luminosities Lacc=GMpM˙p/RpL_{\rm acc}=GM_{\rm p}\dot{M}_{\rm p}/R_{\rm p} assuming each planet is accreting at the average rate given by its mass and system age M˙p=Mp/tage\dot{M}_{\rm p}=M_{\rm p}/t_{\rm age} (equivalently tdouble=taget_{\rm double}=t_{\rm age}). For the non-PDS 70 planets we estimate Rp=RJ(Mp/MJ)1/3R_{\rm p}=R_{\rm J}(M_{\rm p}/M_{\rm J})^{1/3} for Mp<MJM_{\rm p}<M_{\rm J} and Rp=RJ(Mp/MJ)1/3R_{\rm p}=R_{\rm J}(M_{\rm p}/M_{\rm J})^{-1/3} for Mp>MJM_{\rm p}>M_{\rm J}. For PDS 70b and c we use Rp=2RJR_{\rm p}=2\,R_{\rm J} following blackbody fits by Wang et al. (2020) to near-infrared photometry. Error bars reflect the adopted range of MpM_{\rm p} (see Table 1 or the top panel of Figure 2), including the dependence of RpR_{\rm p} on MpM_{\rm p}. The blue arrows show estimates of LaccL_{\rm acc} for the PDS 70 planets derived from observed U-band (336 nm) and Hα\alpha fluxes. These values are hard lower limits because the accretion fluxes may be attenuated by dust along the line of sight, or the accretion luminosity may be concentrated in wavebands other than those observed. Figures 5 and 6 showing the SEDs for PDS 70b and c suggest much of the accretion power ultimately emerges in the infrared.
Refer to caption
Figure 5: Observed SEDs of the PDS 70 planets (crosses) and emission from a single-temperature blackbody modeling a circumplanetary disc (CPD, black curve). Wavelength is denoted by λ\lambda, flux density by FλF_{\lambda} (units of energy per time per area per wavelength), and d=113d=113 pc is the source distance. The observed SEDs range from the U-band continuum and Hα\alpha line (Hashimoto et al., 2020; Zhou et al., 2021), to the near-infrared (Müller et al., 2018; Mesa et al., 2019; Wang et al., 2020; Stolker et al., 2020; Wang et al., 2021), to the sub-mm (Isella et al., 2019; Benisty et al., 2021). The CPD temperature equals that of the local background nebula (60 K; section 2.3) and is assumed to be viewed face-on with a radius RR chosen to match the observed mm-wave fluxes. Mass accretion rates calculated assuming Bondi accretion yield ultraviolet/optical accretion luminosities of order 104L10^{-4}\,L_{\odot}, much higher than implied by the observed U-band flux (leftmost cross). Most of the accretional energy may be released instead as Lyman-α\alpha photons (Aoyama et al., 2020, 2021).
Refer to caption
Figure 6: Similar to Figure 5, but now modeling the case where the PDS 70 planets are surrounded by dusty spherical envelopes instead of circumplanetary discs. Crosses in the left panels mark the observed SEDs, identical to those in Figure 5. In the right panels we show these data de-reddened, adopting a power-law extinction curve chosen so that the extinction-corrected luminosity in the U-band + Hα\alpha is comparable to that in the near-infrared, with both summing to a given bolometric luminosity LbolL_{\rm bol} (104L10^{-4}L_{\odot} for the bottom panels, 103L10^{-3}L_{\odot} for the top). These choices are intended to describe protoplanets which derive a large fraction of their luminosity from ongoing accretion, producing short-wavelength ultraviolet/optical radiation in an accretion shock that heats the planetary layers below and the circumplanetary envelope above. The blackbody fits to the de-reddened near-infrared SEDs (right panels) suggest the accretion shock lies just above \sim2–5 RJR_{\rm J}. The circumplanetary envelope intercepts nearly all of the outgoing radiation and re-radiates it longward of 10–30 μ\mum wavelength on size scales comparable to the Hill sphere, as shown by the blackbodies with luminosities equal to LbolL_{\rm bol} running through the mm-wave fluxes (left panels). The large de-reddened U-band and optical luminosities in this figure (10410^{-4}, 103L10^{-3}L_{\odot}) are consistent with planetary accretion at Bondi-like rates and mass doubling times tdoublet_{\rm double} comparable to the system age taget_{\rm age}.

3.3 Accretion luminosities, and the spectral energy distributions of the PDS 70 planets

From the average accretion rate M˙p=Mp/tage\dot{M}_{\rm p}=M_{\rm p}/t_{\rm age} we can predict the bolometric accretion luminosities of planets in our sample (e.g. Frank et al., 2002):

Lacc=GMpM˙pRp.L_{\rm acc}=\frac{GM_{\rm p}\dot{M}_{\rm p}}{R_{\rm p}}. (6)

For the non-PDS 70 planets, we take radii RpR_{\rm p} to be RJ(Mp/MJ)1/3R_{\rm J}(M_{\rm p}/M_{\rm J})^{-1/3} for Mp>MJM_{\rm p}>M_{\rm J} and RJ(Mp/MJ)1/3R_{\rm J}(M_{\rm p}/M_{\rm J})^{1/3} for Mp<MJM_{\rm p}<M_{\rm J}. These scalings apply to planets that have finished cooling and contracting (e.g. Ginzburg & Chiang, 2019b) and therefore probably underestimate RpR_{\rm p}. We fix Rp=2RJR_{\rm p}=2\,R_{\rm J} for the PDS 70 planets, following fits by Wang et al. (2020) to the observed near-infrared photometry.555Wang et al. (2020) derived these radii by fitting blackbodies to the near-infrared spectral energy distributions of PDS 70b and c assuming no extinction. The radii may change by order-unity factors if there is circumplanetary extinction, as proposed later in this section.

Figure 4 also marks in blue the observed luminosities of PDS 70b and c at the short wavelengths thought to characterize the hot accretion shock. For PDS 70b, Zhou et al. (2021) estimated Lacc=1.8×106LL_{\rm acc}=1.8\times 10^{-6}\,L_{\odot} from the measured U-band (336 nm) and Hα\alpha luminosities. This value includes a bolometric correction for the hydrogen continua, calculated using a slab model (Valenti et al., 1993) having parameters similar to those estimated for the accretion shock (Aoyama & Ikoma, 2019). PDS 70c has so far only been detected in Hα\alpha emission (Hashimoto et al., 2020), so we conservatively set Lacc=LHα=1.2×107LL_{\rm acc}=L_{\rm H\alpha}=1.2\times 10^{-7}\,L_{\odot}. Figure 4 shows that these luminosities (in blue) sit a factor of \sim100 below our estimates based on the time-averaged M˙p\dot{M}_{\rm p} (in yellow).

There are at least two ways to reconcile our theorized high accretion luminosities for PDS 70b and c with the low short-wavelength luminosities observed to date. One possibility is that the bulk of the accretion luminosity emerges in as yet unobserved wavebands. In the accretion shock model of Aoyama et al. (2021), most of the power comes out in the hydrogen Lyman-α\alpha emission line. Their model for PDS 70b predicts a total accretion luminosity Lacc5×1055×104LL_{\rm acc}\approx 5\times 10^{-5}-5\times 10^{-4}L_{\odot} (see their figure 1). Alternatively, the observed U-band and Hα\alpha fluxes may be highly attenuated by dust and therefore underestimate LaccL_{\rm acc} when not corrected for extinction (Hashimoto et al., 2020). These two explanations are not mutually exclusive; reality could be some combination of high dust extinction and high Lyman-α\alpha luminosity. In either scenario the true LaccL_{\rm acc} could be 104L\gtrsim 10^{-4}\,L_{\odot}, compatible with our Bondi accretion rate estimates.

We illustrate in Figures 5 and 6 how these two possibilities impact our interpretation of the spectral energy distributions (SEDs) of PDS 70b and c. Figure 5 describes the no-extinction case. Here the short-wavelength luminosity generated from the accretion shock is Lacc104LL_{\rm acc}\sim 10^{-4}L_{\odot}, released mostly in some unobserved waveband, possibly H Lyα\alpha (Aoyama et al. 2021). That the observed luminosity in the near-infrared (see tables 3 and 4 of Wang et al. 2020) is comparable to our predicted LaccL_{\rm acc} may not be a coincidence. Most of the near-infrared power may derive from the half of the radiation generated in the shock that is emitted toward and re-processed by cooler 𝒪(103K)\mathcal{O}(10^{3}\,\rm K) layers below the shock (see Aoyama et al. 2020 for a model that details how the accretion power is re-processed).

In this extinction-free scenario the observed fluxes from the ultraviolet to the near-infrared are not significantly extincted by dust. At the same time we know the circumplanetary environment should contain dust to explain the mm-wave continuum emission imaged by Isella et al. (2019) and Benisty et al. (2021). For this mm-bright dust to not obscure our line of sight to the planet, it should be distributed in a circumplanetary disc (CPD), viewed face on or approximately so. Figure 5 shows blackbody emission from a single-temperature CPD, heated primarily by radiation from the star to an assumed T=60T=60 K, with a radius fitted to the mm-wave observations. The fitted CPD radius is 0.3 au, roughly 20% of the Hill sphere radius RHill1.5au(Mp/MJ)1/3(r/22au)R_{\rm Hill}\sim 1.5\,\,\mathrm{au}\,(M_{\rm p}/M_{\rm J})^{1/3}(r/22\,\rm au).

Figure 6 shows a high-extinction scenario. Wang et al. (2020) ruled out interstellar extinction because the host star appears unextincted, and circumstellar extinction seems negligible because the planets reside within a transitional disc cavity. Thus we are left with circumplanetary extinction, from dust brought to the planet by the nebular accretion flow, pervading the planet’s Hill sphere. To obscure our line of sight to the accretion shock, this dust should be distributed more-or-less spherically around the planet, in a geometry similar to the thick torii found in 3D hydro-simulations by Fung et al. (2019, see their figure 2). The left panels of Figure 6 demonstrate how Hill-sphere-sized dusty spheres/torii can reproduce the measured sub-mm fluxes.

The right panels of Figure 6 show what the extinction-corrected intrinsic SED of the accreting planet might look like. We adopt power laws for how the extinction AλA_{\lambda} varies with wavelength λ\lambda, with the slope and normalization chosen such that the extinction-corrected luminosity in the U-band + Hα\alpha is comparable to the extinction-corrected luminosity in the near-infrared, with both summing to an assumed bolometric luminosity LbolL_{\rm bol} (104L10^{-4}L_{\odot} for the bottom panels, 103L10^{-3}L_{\odot} for the top; see the figure annotations and caption for details). Our V-band extinction for PDS 70b is AV2.5A_{\rm V}\approx 2.5 for Lbol=104LL_{\rm bol}=10^{-4}L_{\odot}, and AV4A_{\rm V}\approx 4 for Lbol=103LL_{\rm bol}=10^{-3}\,L_{\odot}. The de-reddened near-infrared SEDs still conform approximately to blackbodies, about as well as they do without any extinction correction applied (cf. Wang et al. 2020). Our extinction-corrected effective temperatures are higher than non-corrected values, \sim1100–1450 K vs. 1000–1200 K. Our corrected planet radii are also larger, 2.4–4.5 RJR_{\rm J} vs. 2–2.7 RJR_{\rm J}. In this interpretation the extinction-corrected near-infrared radius corresponds to the depth at which radiation emitted by the accretion shock boundary layer thermalizes, at the base of a dusty accretion flow. The analogy would be with actively accreting Class 0 protostars (e.g. Dunham et al. 2014) or “first” or “second” protostellar cores (Larson 1969; Bate et al. 2014) at the centres of infalling dusty envelopes.

4 Summary and Outlook

Planets are suspected to open the gaps and cavities imaged in protoplanetary discs at millimeter and infrared wavelengths. From the literature we have compiled the modeled masses MpM_{\rm p} and orbital radii rr of the putative gap-opening planets, together with local disc properties including the dust and gas surface densities Σdust\Sigma_{\rm dust} and Σgas\Sigma_{\rm gas}, and the gas disc thickness hh. Our sample contains 22 hypothesized planets and 2 confirmed orbital companions (PDS 70b and c). From these data we have evaluated:

  1. 1.

    Present-day planetary gas accretion rates M˙p\dot{M}_{\rm p} for the subset of 9 planets (including PDS 70b and c) for which the ambient gas density can be usefully constrained from molecular line observations including optically thin C18O. We assumed, consistent with some theories of planet formation, that accretion from the surrounding disc onto the planet is Bondi-like. For 8 of the 9 planets, accretion rates are such that mass doubling times tdoubleMp/M˙pt_{\rm double}\equiv M_{\rm p}/\dot{M}_{\rm p} are comparable to stellar ages of tage110t_{\rm age}\sim 1-10 Myr — this assumes the non-PDS 70 planets have masses Mp1030MM_{\rm p}\sim 10-30\,M_{\oplus}, the PDS 70 planets have Mp110MJM_{\rm p}\sim 1-10\,M_{\rm J}, and the gas-phase CO:H2 abundance ratios are close to those found in thermo-chemical models. Since circumstellar gas discs have typical lifetimes of several Myr, our finding that tdouble/tage1t_{\rm double}/t_{\rm age}\sim 1 for these 8 planets suggests we are observing them during their last doublings. The one planet that does not fit this pattern is the one supposedly inside HD 163296-G2 (r=48r=48 au), for which we find tdouble/tage0.1t_{\rm double}/t_{\rm age}\lesssim 0.1 if Mp110MJM_{\rm p}\sim 1-10\,M_{\rm J} as estimated by Zhang et al. (2018). We suggest the true planet mass in this gap is smaller, and could actually be zero if the gap is created by a planet located elsewhere, following Dong et al. (2018).

  2. 2.

    Gas surface densities Σgas\Sigma_{\rm gas} at the bottoms of 24 gaps where planets are supposed to reside. For 9 systems we compiled literature estimates of Σgas\Sigma_{\rm gas} based on observed C18O intensity maps. For the remaining 15 systems we inferred Σgas\Sigma_{\rm gas} assuming the gaps host planets undergoing Bondi accretion at the average rate Mp/tageM_{\rm p}/t_{\rm age}. The predicted gas surface densities range from 104g/cm210^{-4}\,\rm g/cm^{2} to 1g/cm21\,\rm g/cm^{2}.

  3. 3.

    Dust surface densities Σdust\Sigma_{\rm dust} and dust-to-gas ratios Σdust/Σgas\Sigma_{\rm dust}/\Sigma_{\rm gas} inside gaps. In many cases Σdust/Σgas\Sigma_{\rm dust}/\Sigma_{\rm gas} based on observations are supersolar, by contrast to the typically subsolar ratios found at the bottoms of dust-filtered gaps in planet-disc simulations (Dong et al. 2017). We suggest Σdust\Sigma_{\rm dust} may be overestimated by the current ALMA observations as they may not be resolving steep dust gradients inside gaps (see also Jennings et al. 2021). Under-resolution is less of a problem for Σgas\Sigma_{\rm gas} insofar as simulations predict gas gradients to be shallower than dust gradients.

  4. 4.

    Accretion luminosities LaccL_{\rm acc} of protoplanets. For the PDS 70 planets we predict Lacc104LL_{\rm acc}\sim 10^{-4}\,L_{\odot}, a factor of 10-100 larger than observed in the U-band and Hα\alpha. Most of the short-wavelength accretion power might be emitted in wavebands as yet unobserved, e.g. H Lyman-α\alpha as predicted by recent accretion shock models (Aoyama et al., 2021). Alternatively, a dusty, quasi-spherical, circumplanetary envelope might be absorbing much of the outgoing ultraviolet/optical radiation. We sketched different spectral energy distributions (SEDs) based on these scenarios. A large fraction of the power is expected to emerge at wavelengths ranging from the mid to far-infrared.

The hypothesis that the disc substructures imaged by ALMA are caused by embedded planets is now supported on several grounds. A planet can reproduce the observed positions of multiple gaps in a given system (e.g. in AS 209; Dong et al. 2017, 2018; Zhang et al. 2018). A planet can also reproduce observed non-Keplerian velocity signatures in the disc rotation curve (e.g. in HD 163296; Teague et al. 2018; Teague et al. 2021; Pinte et al. 2020). To this evidence favoring planets we can now add consistency with planet accretion theory. The data are pointing to Neptune-mass planets accreting at Bondi-like rates inside gaps filled with low-viscosity (α104\alpha\lesssim 10^{-4}) gas.

From here there are any number of avenues for future investigation. To list just a few:

  1. 1.

    Advancing beyond our Bondi-inspired formula (3) for M˙p\dot{M}_{\rm p}. Bondi accretion neglects many effects, among them stellar tides that become important when the planet’s Bondi radius exceeds its Hill radius (e.g. Rosenthal et al. 2020), anisotropic 3D flow fields (e.g. Cimerman et al. 2017), and thermodynamics (e.g. Ginzburg & Chiang 2019a who distinguished between hydrodynamic and thermodynamic runaway). The sensitivity of simulated accretion rates to sink-cell (e.g. D’Angelo et al. 2003) and other planetary boundary conditions should be studied.

  2. 2.

    Accounting for how the gap density evolves with time because of disc photoevaporation, repulsive planetary torques, etc., while the planet accretes. For example, in the gap clearing theories of Ginzburg & Chiang (2019a), the planet mass doubling timescale tdoublet_{\rm double} is longer than the instantaneously measured Mp/M˙pM_{\rm p}/\dot{M}_{\rm p} by a factor that ranges up to \sim15, increasing as the disc viscosity decreases and the gap depletes more rapidly with time. This correction factor based on disk evolution should be incorporated into comparisons between tdoublet_{\rm double} and taget_{\rm age}.

  3. 3.

    More molecular line data to test our predictions for Σgas\Sigma_{\rm gas}, and higher spatial resolution to map steep Σdust\Sigma_{\rm dust} profiles. New data are now available for the GM Aur disc, including spatially resolved dust continuum and CO observations (Huang et al. 2020, 2021; Schwarz et al. 2021), anchored by a total disc gas mass estimate from HD emission (McClure et al., 2016). Spatially resolved disc surveys have so far targeted brighter discs (Andrews et al., 2018; Oberg et al., 2021) and are consequently biased toward higher Σgas\Sigma_{\rm gas}. Assuming planets will always be found with tdouble/tage1t_{\rm double}/t_{\rm age}\gtrsim 1, higher Σgas\Sigma_{\rm gas} corresponds to lower planet masses MpM_{\rm p} (equation 5). By this logic, targeting less luminous, less massive discs while keeping all other factors fixed may uncover higher mass planets. In any case expanding survey samples are necessary for understanding planet occurrence rates and demographic trends (Cieza et al., 2019).

  4. 4.

    Planetary accretion shock models (Aoyama et al., 2020, 2021) need to be tested observationally across the ultraviolet-optical spectrum, with current arguments based on a single emission line (Hα\alpha) replaced by joint constraints from multiple lines and the continuum. The accretion shock theory also needs to connect more smoothly to models of the cooler, infrared-emitting layers of the planet (e.g. BT-Settl; Baraffe et al. 2015); at the moment how radiation from shocked layers heats cooler layers is not accounted for (but see section A1 of Aoyama et al. 2020 for a first step). Detection of molecular absorption lines in the infrared (Cugno et al., 2021; Wang et al., 2021) may constrain the degree of accretional heating, and how much dust is brought in.

Acknowledgements

We thank Yuhiko Aoyama, Steve Beckwith, Jenny Calahan, Yayaati Chachan, Ruobing (Robin) Dong, Jeffrey Fung, Sivan Ginzburg, Jane Huang, Masahiro Ikoma, Gabriel-Dominique Marleau, Jason Wang, Ke (Coco) Zhang, Shangjia Zhang, Yifan Zhou, and Zhaohuan Zhu, for discussions and feedback on our study. We also thank Takayuki Muto for a helpful referee report. This work was supported by an NSF Graduate Research Fellowship (DGE 2146752) and used the matplotlib (Hunter, 2007) and scipy (Virtanen et al., 2020) packages.

Data availability

The data compiled in this work are available upon request to the authors.

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