Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/29722
Title: | A Principal Component Analysis-based Method to Analyze High-resolution Spectroscopic Data on Exoplanets | Authors: | Damiano, M. MICELA, Giuseppina Tinetti, G. |
Issue Date: | 2019 | Journal: | THE ASTROPHYSICAL JOURNAL | Number: | 878 | Issue: | 2 | First Page: | 153 | 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 H<SUB>2</SUB>O 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. | URI: | http://hdl.handle.net/20.500.12386/29722 | URL: | https://iopscience.iop.org/article/10.3847/1538-4357/ab22b2 | ISSN: | 0004-637X | DOI: | 10.3847/1538-4357/ab22b2 | Bibcode ADS: | 2019ApJ...878..153D | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
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File | Description | Size | Format | |
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Damiano_2019_ApJ_878_153 (1).pdf | Pdf editoriale | 2.02 MB | Adobe PDF | View/Open |
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