A new method to measure the spectra of transiting exoplanet atmospheres using multi-object spectroscopy
Vatsal Panwar, Jean-Michel D\'esert, Kamen O. Todorov, Jacob L. Bean,, Kevin B. Stevenson, C. M. Huitson, Jonathan J. Fortney, and Marcel Bergmann6

TL;DR
This paper introduces a Gaussian Processes regression-based method for analyzing ground-based spectrophotometric data of transiting exoplanets, improving precision and reducing reliance on comparison stars, thus enhancing atmospheric characterization capabilities.
Contribution
The paper presents a novel non-linear GP regression approach for exoplanet transit data analysis, overcoming limitations of traditional linear correction methods and comparison star dependency.
Findings
Achieved ~20% better transit depth precision with the new method.
Obtained a flat transmission spectrum indicating a grey cloud deck.
Demonstrated the method's effectiveness on six Gemini/GMOS transits of HAT-P-26b.
Abstract
Traditionally, ground-based spectrophotometric observations probing transiting exoplanet atmospheres have employed a linear map between comparison and target star light curves (e.g. via differential spectrophotometry) to correct for systematics contaminating the transit signal. As an alternative to this conventional method, we introduce a new Gaussian Processes (GP) regression-based method to analyse ground-based spectrophotometric data. Our new method allows for a generalised non-linear mapping between the target transit light curves and the time series used to detrend them. This represents an improvement compared to previous studies because the target and comparison star fluxes are affected by different telluric and instrumental systematics, which are complex and non-linear. We apply our method to six Gemini/GMOS transits of the warm (T = 990 K) Neptune HAT-P-26b. We obtain…
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