High-Resolution Spectroscopy (HRS) 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 Principal Component Analysis (PCA) and Cross-Correlation Function (CCF). The exoplanetary atmosphere is modeled with the τ-REx code using opacities at high temperature 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.
@article{arxiv.1906.11218,
title = {A Principal Component Analysis-based method to analyse high-resolution spectroscopic data},
author = {M. Damiano and G. Micela and G. Tinetti},
journal= {arXiv preprint arXiv:1906.11218},
year = {2019}
}