ATMOSPHERIX: I- An open source high resolution transmission spectroscopy pipeline for exoplanets atmospheres with SPIRou
B. Klein, F. Debras, J.-F. Donati, T. Hood, C. Moutou, A. Carmona, M., Ould-elkhim, B. B\'ezard, B. Charnay, P. Fouqu\'e, A. Masson, S. Vinatier, C., Baruteau, I. Boisse, X. Bonfils, A. Chiavassa, X. Delfosse, W. Dethier, G., Hebrard, F. Kiefer, J. Leconte, E. Martioli

TL;DR
ATMOSPHERIX is an open-source pipeline for high-resolution ground-based exoplanet atmosphere characterization, demonstrating robustness with synthetic and real data, and incorporating deep learning for data reduction.
Contribution
The paper introduces a new publicly available pipeline for exoplanet atmospheric analysis using high-resolution spectroscopy, including a deep learning component for data reduction.
Findings
Successful recovery of planetary signals from synthetic data
Application to real data yields results consistent with literature
Pipeline adaptable to various high-resolution instruments
Abstract
Atmospheric characterisation of exoplanets from the ground is an actively growing field of research. In this context we have created the ATMOSPHERIX consortium: a research project aimed at characterizing exoplanets atmospheres using ground-based high resolution spectroscopy. This paper presents the publicly-available data analysis pipeline and demonstrates the robustness of the recovered planetary parameters from synthetic data. Simulating planetary transits using synthetic transmission spectra of a hot Jupiter that were injected into real SPIRou observations of the non-transiting system Gl 15 A, we show that our pipeline is successful at recovering the planetary signal and input atmospheric parameters. We also introduce a deep learning algorithm to optimise data reduction which proves to be a reliable, alternative tool to the commonly used principal component analysis. We estimate the…
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Taxonomy
TopicsCalibration and Measurement Techniques · Astronomical Observations and Instrumentation · Astronomy and Astrophysical Research
