A Principal Component Analysis-based Method to Analyze High-resolution Spectroscopic Data on Exoplanets
Journal
Date Issued
2019
Author(s)
Abstract
High-resolution spectroscopy has been used to study the composition and dynamics of exoplanetary atmospheres. In particular, the spectrometer CRIRES installed on the ESO-VLT has been used to record high-resolution spectra in the near-IR of gaseous exoplanets. Here we present a new automatic pipeline to analyze CRIRES data sets. Said pipeline is based on a novel use of the principal component analysis and the cross-correlation function. The exoplanetary atmosphere is modeled with the { \mathcal T }-REx code using opacities at high temperatures from the ExoMol project. In this work we tested our analysis tools on the detection of CO and H2O in the atmospheres of the hot Jupiters HD209458b and HD189733b. The results of our pipeline are in agreement with previous results in the literature and other techniques.
Volume
878
Issue
2
Start page
153
Issn Identifier
0004-637X
Ads BibCode
2019ApJ...878..153D
Rights
open.access
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