Debiasing the Minimum-Mass Extrasolar Nebula: On the Diversity of Solid Disk Profiles

Abstract

A foundational idea in the theory of in situ planet formation is the "minimum mass extrasolar nebula" (MMEN), a surface density profile (Ξ£\Sigma) of disk solids that is necessary to form the planets in their present locations. While most previous studies have fit a single power-law to all exoplanets in an observed ensemble, it is unclear whether most exoplanetary systems form from a universal disk template. We use an advanced statistical model for the underlying architectures of multi-planet systems to reconstruct the MMEN. The simulated physical and Kepler-observed catalogs allows us to directly assess the role of detection biases, and in particular the effect of non-transiting or otherwise undetected planets, in altering the inferred MMEN. We find that fitting a power-law of the form Ξ£=Ξ£0βˆ—(a/a0)Ξ²\Sigma = \Sigma_0^* (a/a_0)^\beta to each multi-planet system results in a broad distribution of disk profiles; Ξ£0βˆ—=336βˆ’291+727\Sigma_0^* = 336_{-291}^{+727} g/cm2^2 and Ξ²=βˆ’1.98βˆ’1.52+1.55\beta = -1.98_{-1.52}^{+1.55} encompass the 16th-84th percentiles of the marginal distributions in an underlying population, where Ξ£0βˆ—\Sigma_0^* is the normalization at a0=0.3a_0 = 0.3 AU. Around half of inner planet-forming disks have minimum solid masses of ≳40MβŠ•\gtrsim 40 M_\oplus within 1 AU. While transit observations do not tend to bias the median Ξ²\beta, they can lead to both significantly over- and under-estimated Ξ£0βˆ—\Sigma_0^* and thus broaden the inferred distribution of disk masses. Nevertheless, detection biases cannot account for the full variance in the observed disk profiles; there is no universal MMEN if all planets formed in situ. The great diversity of solid disk profiles suggests that a substantial fraction (≳23%\gtrsim 23\%) of planetary systems experienced a history of migration.Comment: Accepted to AJ. 14 pages, 6 figures, 1 table. Accompanying code is available via SysSimPyMMEN, a pip-installable Python package (see https://syssimpymmen.readthedocs.io/en/latest/

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