Spitzer Space Telescope - Theoretical Research Proposal #40140 Understanding L/T Transition Binaries and Y Dwarfs Principal Investigator: Mark Marley Institution: NASA Ames Research Center Technical Contact: Mark Marley, NASA Ames Research Center Co-Investigators: Didier Saumon, Los Alamos National Laboratory Science Category: brown dwarfs/very low mass stars Dollars Approved: 73653 Abstract: We propose two investigations that are directly relevant to understanding Spitzer observations of L- and T-type brown dwarfs. First, we will provide important new constraintson the currently unknown mechanism responsible for the rapid L to T dwarf transition. To do so we will study L/T binary pairs, for which there are abundant Spitzer and groundbased datasets. Each member of a pair has the same age and metallicity, but very different spectral properties owing to their vastly different iron and silicate cloud decks. We will find self-consistent pairs of models that fit the unresolved Spitzer IRAC and IRS data and the available resolved near-infrared photometry. These pairs of models, each with the same age and metallicity, but differing mass, effective temperature, and cloud properties, will provide new constraints on the nature of the L to T transition, which is the major outstanding issue in studies of brown dwarf atmospheres. Secondly, we will produce new models of very cool (Teff < 600 K) brown dwarfs to better understand the spectral signatures associated with the yet to be discovered Y dwarfs. Existing models in the literature have used outdated ammonia opacity datasets and do not account for the role of non-equilibrium chemistry, which we have demonstrated is crucial for understanding the slightly warmer T dwarfs. Our work will provide new predictions for the expected IRAC photometric signatures of Y dwarfs (which critically are fainter in Band 2 than generally expected) and will aid in the characterization of these objects when they are eventually discovered by various ongoing Spitzer (as foreground objects) or ground based surveys.