A SYSTEMATIC RETRIEVAL ANALYSIS OF SECONDARY ECLIPSE SPECTRA. I. A COMPARISON OF ATMOSPHERIC RETRIEVAL TECHNIQUES

By M. Line, A. Wolf, Xi Zhang, H. Knutson, J. Kammer, E. Ellison, P. Deroo, David Crisp, Yuk L. Yung. 2013

236 citations recorded by the source corpus.

Exoplanet atmosphere spectroscopy enables us to improve our understanding of exoplanets just as remote sensing in our own solar system has increased our understanding of the solar system bodies. The challenge is to quantitatively determine the range of temperatures and molecular abundances allowed by the data, which is often difficult given the low information content of most exoplanet spectra that commonly leads to degeneracies in the interpretation. A variety of spectral retrieval approaches have been applied to exoplanet spectra, but no previous investigations have sought to compare these approaches. We compare three different retrieval methods: optimal estimation, differential evolution Markov chain Monte Carlo, and bootstrap Monte Carlo on a synthetic water-dominated hot Jupiter. We discuss expectations of uncertainties in abundances and temperatures given current and potential future observations. In general, we find that the three approaches agree for high spectral resolution, high signal-to-noise data expected to come from potential future spaceborne missions, but disagree for low-resolution, low signal-to-noise spectra representative of current observations. We also compare the results from a parameterized temperature profile versus a full classical Level-by-Level approach and discriminate in which situations each of these approaches is applicable. Furthermore, we discuss the implications of our models for the inferred C-to-O ratios of exoplanetary atmospheres. Specifically, we show that in the observational limit of a few photometric points, the retrieved C/O is biased toward values near solar and near one simply due to the assumption of uninformative priors.

Subfields: Astronomy and Astrophysics, Instrumentation, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/e48759dac6f794affece04131cc0652433666dbe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

  1. N. Madhusudhan
  2. Jon Fortney
  3. A. Showman
  4. M. Line
  5. M. Marley
  6. J. D'esert
  7. V. Parmentier
  8. H. Knutson

In Instrumentation

  1. N. Madhusudhan
  2. Jon Fortney
  3. A. Showman
  4. M. Line
  5. M. Marley
  6. H. Knutson
  7. V. Parmentier
  8. J. D'esert

In Statistical and Nonlinear Physics

  1. N. Madhusudhan
  2. Jon Fortney
  3. M. Line
  4. V. Parmentier
  5. H. Knutson
  6. Sara Seager
  7. M. Marley
  8. A. Showman

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