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A Systematic Retrieval Analysis of Secondary Eclipse Spectra I: A Comparison of Atmospheric Retrieval Techniques | | Michael R. Line
; Aaron Wolf
; Xi Zhang
; Heather Knutson
; Joshua Kammer
; Elias Ellison
; Pieter Deroo
; Dave Crisp
; Yuk Yung
; | | Date: |
20 Apr 2013 | | Abstract: | Spectra of exoplanet atmospheres provide us the opportunity to improve our
understanding of these objects 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 species abundances
allowed by the data. This challenge is often difficult given the low
information content of most exoplanet spectra which commonly leads to
degeneracies in the interpretation. A variety of temperature and abundance
retrieval approaches have been applied to exoplanet spectra, but no previous
investigations have sought to compare these approaches. In this investigation
we compare three different retrieval methods: Optimal Estimation, Differential
Evolution Markov Chain Monte Carlo, and Bootstrap Monte Carlo. We call our
suite of retrieval algorithms the Caltech Inverse Modeling and Retrieval
Algorithms (CHIMERA). We discuss what we can expect in terms of uncertainties
in abundances and temperatures given current observations as well as potential
future observations and what conclusions can be drawn given those
uncertainties. In general we find that the three approaches agree for high
quality spectra expected to come from potential future spaceborne missions, but
disagree for low quality spectra representative of current observations. We
also show that the Gaussian posterior probability distribution assumption made
in the Optimal Estimation approach is valid for high quality spectral data. We
also discuss the implications of our models for the inferred C to O ratios of
exoplanetary atmospheres, which of course are important for understanding
formation environments. More specifically we show that in the observational
limit of a few photometric points, the retrieved C/O is biased towards values
near solar and near one simply due to the assumption of uninformative priors. | | Source: | arXiv, 1304.5561 | | Services: | Forum | Review | PDF | Favorites | |
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