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A Principal Component Analysis-based method to analyse high-resolution spectroscopic data

Damiano, M; Micela, G; Tinetti, G; (2019) A Principal Component Analysis-based method to analyse high-resolution spectroscopic data. The Astronomical Journal , 878 , Article 153. 10.3847/1538-4357/ab22b2. Green open access

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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  -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.

Type: Article
Title: A Principal Component Analysis-based method to analyse high-resolution spectroscopic data
Open access status: An open access version is available from UCL Discovery
DOI: 10.3847/1538-4357/ab22b2
Publisher version: https://doi.org/10.3847/1538-4357/ab22b2
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: methods: data analysis; planets and satellites: atmospheres; techniques: spectroscopic
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10074566
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