Revisiting the atmosphere of the exoplanet 51 Eridani b with VLT/SPHERE

Aims. We aim to better constrain the atmospheric properties of the directly imaged exoplanet 51 Eri b using a retrieval approach with data of higher signal-to-noise ratio (S/N) than previously reported. In this context, we also compare the results from an atmospheric retrieval to using a self-consistent model to fit atmospheric parameters. Methods. We applied the radiative transfer code petitRADTRANS to our near-infrared SPHERE observations of 51 Eri b in order to retrieve its atmospheric parameters. Additionally, we attempted to reproduce previous results with the retrieval approach and compared the results to self-consistent models using the best-fit parameters from the retrieval as priors. Results. We present a higher S/N YH spectrum of the planet and revised K1K2 photometry (M-K1 = 15.11 +/- 0.04 mag, M-K2 = 17.11 +/- 0.38 mag). The best-fit parameters obtained using an atmospheric retrieval differ from previous results using self-consistent models. In general, we find that our solutions tend towards cloud-free atmospheres (e.g. log tau(clouds) = 5.20 +/- 1.44). For our `nominal' model with new data, we find a lower metallicity ([Fe/H] = 0.26 +/- 0.30 dex) and C/O ratio (0.38 +/- 0.09), and a slightly higher effective temperature (T-eff = 807 +/- 45 K) than previous studies. The surface gravity (log g = 4.05 +/- 0.37) is in agreement with the reported values in the literature within uncertainties. We estimate the mass of the planet to be between 2 and 4 MJup. When comparing with self-consistent models, we encounter a known correlation between the presence of clouds and the shape of the P-T profiles. Conclusions. Our findings support the idea that results from atmospheric retrievals should not be discussed in isolation, but rather along with self-consistent temperature structures obtained using the best-fit parameters of the retrieval. This, along with observations at longer wavelengths, might help to better characterise the atmospheres and determine their degree of cloudiness.

Automated summary

The aim of this study is to better understand the atmospheric properties of the directly imaged exoplanet 51 Eri b using a retrieval approach with higher signal-to-noise ratio data. The researchers used the radiative transfer code petitRADTRANS to analyze near-infrared SPHERE observations and compare the results with self-consistent models. The findings suggest that atmospheric retrievals should be considered together with self-consistent temperature structures to better characterize and determine the cloudiness of exoplanet atmospheres.