Atmospheric characterization of Proxima b by coupling the Sphere high-contrast imager to the Espresso spectrograph
C. Lovis, I. Snellen, D. Mouillet, F. Pepe, F. Wildi, N., Astudillo-Defru, J.-L. Beuzit, X. Bonfils, A. Cheetham, U. Conod, X., Delfosse, D. Ehrenreich, P. Figueira, T. Forveille, J.H.C. Martins, S.P., Quanz, N.C. Santos, H.-M. Schmid, D. S\'egransan, S. Udry

TL;DR
This paper proposes coupling the SPHERE imager with the ESPRESSO spectrograph at ESO VLT to directly detect and characterize Proxima b's atmosphere, aiming to identify biosignatures like oxygen within a feasible observation timeframe.
Contribution
It introduces a novel coupling method between high-contrast imaging and high-resolution spectroscopy to enable atmospheric detection of Proxima b.
Findings
Potential 5-sigma detection of Proxima b within 20-40 nights.
Ability to probe key biosignature bands such as O2, water vapor, and methane.
Feasibility of detecting biosignatures like oxygen with dedicated telescope time.
Abstract
Context. The temperate Earth-mass planet Proxima b is the closest exoplanet to Earth and represents what may be our best ever opportunity to search for life outside the Solar System. Aims. We aim at directly detecting Proxima b and characterizing its atmosphere by spatially resolving the planet and obtaining high-resolution reflected-light spectra. Methods. We propose to develop a coupling interface between the SPHERE high-contrast imager and the new ESPRESSO spectrograph, both installed at ESO VLT. The angular separation of 37 mas between Proxima b and its host star requires the use of visible wavelengths to spatially resolve the planet on a 8.2-m telescope. At an estimated planet-to-star contrast of ~10^-7 in reflected light, Proxima b is extremely challenging to detect with SPHERE alone. However, the combination of a ~10^3-10^4 contrast enhancement from SPHERE to the high spectral…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
