Modeling the formation of clouds in brown dwarf atmospheres

Curti S. Cooper, David Sudarsky, John A. Milsom, Jonathan I. Lunine, Adam S. Burrows

Research output: Contribution to journalArticle

77 Scopus citations

Abstract

Because the opacity of clouds in substellar mass object (SMO) atmospheres depends on the composition and distribution of particle sizes within the cloud, a credible cloud model is essential for accurately modeling SMO spectra and colors. We present a one-dimensional model of cloud particle formation and subsequent growth based on a consideration of basic cloud microphysics. We apply this microphysical cloud model to a set of synthetic brown dwarf atmospheres spanning a broad range of surface gravities and effective temperatures (gsurf = 1.78 × 103-3 × 105 cm s-2 and Teff = 600-1600 K) to obtain plausible particle sizes for several abundant species (Fe, Mg2SiO4 and Ca2Al2SiO7). At the base of the clouds, where the particles are largest, the particle sizes thus computed range from ∼5 to over 300 μm in radius over the full range of atmospheric conditions considered. We show that average particle sizes decrease significantly with increasing brown dwarf surface gravity. We also find that brown dwarfs with higher effective temperatures have characteristically larger cloud particles than those with lower effective temperatures. We therefore conclude that it is unrealistic when modeling SMO spectra to apply a single particle size distribution to the entire class of objects.

Original languageEnglish (US)
Pages (from-to)1320-1337
Number of pages18
JournalAstrophysical Journal
Volume586
Issue number2 I
DOIs
StatePublished - Apr 1 2003

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Keywords

  • Stars: atmospheres
  • Stars: low-mass, brown dwarfs

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    Cooper, C. S., Sudarsky, D., Milsom, J. A., Lunine, J. I., & Burrows, A. S. (2003). Modeling the formation of clouds in brown dwarf atmospheres. Astrophysical Journal, 586(2 I), 1320-1337. https://doi.org/10.1086/367763