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Multiple water band detections in the CARMENES near-infrared transmission spectrum of HD 189733 b

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arxiv 1811.08901 v1 pith:5NIEQERH submitted 2018-11-21 astro-ph.EP

Multiple water band detections in the CARMENES near-infrared transmission spectrum of HD 189733 b

classification astro-ph.EP
keywords waterabsorptioncross-correlationatmospheresbandscarmenesobservedspace
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Aims: We explore the capabilities of CARMENES for characterizing hot-Jupiter atmospheres by targeting multiple water bands, in particular, those at 1.15 and 1.4 $\mu$m. Hubble Space Telescope observations suggest that this wavelength region is relevant for distinguishing between hazy/cloudy and clear atmospheres. Methods: We observed one transit of the hot Jupiter HD 189733 b with CARMENES. Telluric and stellar absorption lines were removed using Sysrem, which performs a principal component analysis including proper error propagation. The residual spectra were analysed for water absorption with cross-correlation techniques using synthetic atmospheric absorption models. Results: We report a cross-correlation peak at a signal-to-noise ratio (SNR) of 6.6, revealing the presence of water in the transmission spectrum of HD 189733 b. The absorption signal appeared slightly blueshifted at -3.9 $\pm$ 1.3 kms$^{-1}$. We measured the individual cross-correlation signals of the water bands at 1.15 and 1.4 $\mu$m, finding cross-correlation peaks at SNRs of 4.9 and 4.4, respectively. The 1.4 $\mu$m feature is consistent with that observed with the Hubble Space Telescope. Conclusions: The water bands studied in this work have been mainly observed in a handful of planets from space. The ability of also detecting them individually from the ground at higher spectral resolution can provide insightful information to constrain the properties of exoplanet atmospheres. Although the current multiband detections can not yet constrain atmospheric haze models for HD 189733 b, future observations at higher signal-to-noise ratio could provide an alternative way to achieve this aim.

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