The Astrophysical Journal (Jan 2023)

Demographics of Protoplanetary Disks: A Simulated Population of Edge-on Systems

  • Isabel Angelo,
  • Gaspard Duchene,
  • Karl Stapelfeldt,
  • Zoie Telkamp,
  • François Ménard,
  • Deborah Padgett,
  • Gerrit Van der Plas,
  • Marion Villenave,
  • Christophe Pinte,
  • Schuyler Wolff,
  • William J. Fischer,
  • Marshall D. Perrin

DOI
https://doi.org/10.3847/1538-4357/acbb01
Journal volume & issue
Vol. 945, no. 2
p. 130

Abstract

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The structure of protoplanetary disks plays an essential role in planet formation. A disk that is highly inclined, or “edge-on,” is of particular interest since its geometry provides a unique opportunity to study the disk’s vertical structure and radial extent. Candidate edge-on protoplanetary disks are typically identified via their unique spectral energy distributions (SEDs) and subsequently confirmed through high-resolution imaging. However, this selection process is likely biased toward the largest, most-massive disks, and the resulting sample may not accurately represent the underlying disk population. To investigate this, we generated a grid of protoplanetary disk models using radiative transfer simulations and determined which sets of disk parameters produce edge-on systems that could be recovered by the aforementioned detection techniques—i.e., identified by their SEDs and confirmed through follow-up imaging with the Hubble Space Telescope. In doing so, we adopt a quantitative working definition of “edge-on disks” (EODs) that is observation driven and agnostic about the disk inclination or other properties. Folding in empirical disk demographics, we predict an occurrence rate of 6.2% for EODs and quantify biases toward highly inclined, massive disks. We also find that EODs are underrepresented in samples of Spitzer-studied young stellar objects, particularly for disks with host masses of M ≲ 0.5 M _⊙ . Overall, our analysis suggests that several dozen EODs remain undiscovered in nearby star-forming regions, and provides a universal selection process to identify EODs for consistent, population-level demographic studies.

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