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Mass loss rate and local thermodynamic state of KELT-9 b thermosphere from the hydrogen Balmer series

Published 28 Apr 2020 in astro-ph.EP and astro-ph.SR | (2004.13733v2)

Abstract: KELT-9 b, the hottest known exoplanet with $T\sim4400$ K, is the archetype of a new planet class known as ultra-hot Jupiters. These exoplanets are presumed to have an atmosphere dominated by neutral and ionized atomic species. In particular, H$\alpha$ and H$\beta$ Balmer lines have been detected in the KELT-9 b upper atmosphere, suggesting that hydrogen is filling the planetary Roche lobe and escaping from the planet. In this work, we detected $\delta$ Scuti-type stellar pulsation (with a period $P=7.54\pm0.12$ h) and studied the Rossiter-McLaughlin effect (finding a spin-orbit angle $\lambda=-85.01{\deg}\pm0.23{\deg}$) prior to focussing on the Balmer lines (H$\alpha$ to H$\zeta$) in the optical transmission spectrum of KELT-9 b. Our HARPS-N data show significant absorption for H$\alpha$ to H$\delta$. The precise line shapes of the H$\alpha$, H$\beta$, and H$\gamma$ absorptions allow us to put constraints on the thermospheric temperature. Moreover, the mass loss rate, and the excited hydrogen population of KELT-9 b are also constrained, thanks to a retrieval analysis performed with a new atmospheric model. We retrieved a thermospheric temperature of $T=13200{+800}_{-720}$ K and a mass loss rate of $\dot{M}=10{12.8\pm0.3}$ g s${-1}$ when the atmosphere was assumed to be in hydrodynamical expansion and in local thermodynamic equilibrium (LTE). Since the thermospheres of hot Jupiters are not expected to be in LTE, we explored atmospheric structures with non-Boltzmann equilibrium for the population of the excited hydrogen. We do not find strong statistical evidence in favor of a departure from LTE. However, our non-LTE scenario suggests that a departure from the Boltzmann equilibrium may not be sufficient to explain the retrieved low number densities of the excited hydrogen. In non-LTE, Saha equilibrium departure via photo-ionization, is also likely to be necessary to explain the data.

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