Characterization of exoplanetary atmospheres through a model-unbiased spectral survey methodology
A. Lira-Barria, P. M. Rojo, R. A. Mendez

TL;DR
This paper introduces a model-unbiased spectral survey method for transit spectroscopy to detect atomic species in exoplanet atmospheres, analyzing archival data to identify potential atmospheric constituents with statistical significance.
Contribution
It develops a novel, unbiased technique for analyzing all qualified spectral lines in transit data, improving detection reliability of atmospheric species without relying on specific models.
Findings
Possible detection of Mn I and V II in HD 209459b
Support for previous Sc II detection in HD 209459b
Possible detection of Ca I, Sc II, Ti II in HD 189733 and Al I in WASP-74b
Abstract
Context. Collecting a large variety of exoplanetary atmosphere measurements is crucial to improve our understanding of exoplanets. In this context, it is likely that the field would benefit from broad species surveys, particularly using transit spectroscopy, which is the most successful technique of exoplanetary atmosphere characterization so far. Aims: Our goal is to develop a model-unbiased technique using transit spectroscopy to analyze every qualified atomic spectral line in exoplanetary transit data, and search for relative absorption, that is, a decrease in the flux of the line when the planet is transiting. Methods: We analyzed archive data from HDS at Subaru, HIRES at Keck, UVES at VLT, and HARPS at LaSilla to test our spectral survey methodology. It first filtered individual lines by relative noise levels. It also corrected for spectral offsets and telluric contamination.…
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