Doppler tomography as a tool for detecting exoplanet atmospheres
Christopher Watson, Ernst de Mooij, Danny Steeghs, Tom Marsh, Matteo, Brogi, Neale Gibson, Shannon Matthews

TL;DR
This paper introduces Doppler tomography as a more sensitive and robust method than traditional cross-correlation techniques for detecting molecular signatures in exoplanet atmospheres, demonstrated through real data analysis.
Contribution
The paper demonstrates that Doppler tomography improves sensitivity and noise suppression in exoplanet atmosphere detection, especially for multiple species and overlapping spectral features.
Findings
Doppler tomography outperforms cross-correlation in sensitivity.
It effectively suppresses contaminating spectral features.
Successfully detected CO in Tau Boo b's atmosphere with consistent velocity measurements.
Abstract
High-resolution Doppler spectroscopy is a powerful tool for identifying molecular species in the atmospheres of both transiting and non-transiting exoplanets. Currently, such data is analysed using cross-correlation techniques to detect the Doppler shifting signal from the orbiting planet. In this paper we demonstrate that, compared to cross-correlation methods currently used, the technique of Doppler tomography has improved sensitivity in detecting the subtle signatures expected from exoplanet atmospheres. This is partly due to the use of a regularizing statistic, which acts to suppress noise, coupled to the fact that all the data is fit simultaneously. In addition, we show that the technique can also effectively suppress contanimating spectral features that may arise due to overlapping lines, repeating line patterns, or the use of incorrect linelists. These issues can confuse…
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