# # Program information file # PROGRAM_ID 2022A088 PROGRAM_TITLE Retrieving Physical Parameters of a Volume-Limited Sample of Brown Dwarfs PROGRAM_INV1 Michael Liu PROGRAM_INV2 Michael Line PROGRAM_INV3 Zhoujian Zhang PROGRAM_INV4 Mark Marley PROGRAM_INV5 William Best PROGRAM_SCICAT stellar PROGRAM_ABSTRACT_BEG Bayesian retrieval methods offer a new powerful means for robustly establishing physical parameters of brown dwarfs. We propose to complete SpeX observations for a volume-limited sample of T dwarfs to determine their atmospheric and compositional properties. Our work will illuminate trends in their emergent fluxes and spectra with their underlying physical properties, as well as place the local substellar population in context with similar data for solar-type stars. PROGRAM_ABSTRACT_END