Titan’s Upper Atmosphere Composition from Cassini UVIS Observations Joshua Kammer California Institute of Technology January 6, 2012 Outline • • • • • Titan’s Atmosphere and Photochemistry The Cassini Mission and UVIS Instrument Retrieval Method and Data Processing Results from Observation and Modeling Discussion and Implications for Future Work Titan • Atmosphere: Mostly nitrogen (98%), with methane and various hydrocarbons • Surface pressure of ~1.5 atm • Temperature of atmosphere ranges from 80K to 180K Hidden in Haze • Thick layers of haze obscure the surface • Photochemistry drives complex suite of organic reactions • These organics have distinct absorption features in the UV region of spectrum Hidden in Haze • Motivation: – What chemistry occurs on Titan, and where? – How might the products of this chemistry vary in space and time? – Connection to lower atmosphere/surface? Enter Cassini • Launched in 1997 • Arrived in Saturn system in 2004 • Wide array of instruments – Ultraviolet Imaging Spectrograph (UVIS) Stargazing with Cassini UVIS • Cassini UVIS instrument – EUV Spectrograph used for solar occultations – FUV Spectrograph used for stellar occultations – Measures integrated UV photon flux (from Esposito et al. 2003) Stargazing with Cassini UVIS • Cassini UVIS instrument – EUV Spectrograph used for solar occultations – FUV Spectrograph used for stellar occultations – Measures integrated UV photon flux • Occultations with UVIS can probe atmospheric regions that no other instruments can easily observe Photon Counts to Optical Depth • Process in two steps: – Calculate Io (λ) spectrum from above atmosphere – Optical depth is calculated as: τ (λ,h) = - ln [I (λ,h) / Io (λ)] where I (λ,h) is the integrated photon flux at each wavelength λ and occultation ray height h Optical Depth to Abundance • Species absorption cross-sections – From laboratory measurements • Instrument response function – For given species abundance (cm-2), can calculate contribution to optical depth as seen by UVIS • Rodgers retrieval methodology – Finds best fit parameters of forward model in iterative process that minimizes cost function • J(x) = (x-xa)T Sa-1 (x-xa) + (y-Kx)T Se-1 (y-Kx) Abundance to Density • Assume spherically symmetric atmosphere • Convert line of sight abundance to local density using inverse Abel transform Future Work • Large amounts of UVIS data still unprocessed, and more continues to be acquired • Examine possible seasonal and spatial variability of methane and other hydrocarbons • Further integration and comparison with Titan global atmospheric chemical models • Similar approach for Saturn observations