TL;DR
The paper introduces p-winds, an open-source Python tool for modeling planetary atmospheric outflows, demonstrated through fitting observations of exoplanets to estimate atmospheric escape rates and properties.
Contribution
p-winds provides a scalable, open-source Python implementation of a planetary wind model, enabling improved interpretation of metastable helium transmission spectroscopy data.
Findings
Estimated atmospheric escape rate for HAT-P-11 b is ~2.5 x 10^10 g/s.
Constrained escape rates for GJ 436 b, ruling out rates above 3.4 x 10^10 g/s.
Wind temperature for HAT-P-11 b is approximately 7200 K.
Abstract
Atmospheric escape is considered to be one of the main channels for evolution in sub-Jovian planets, particularly in their early lives. While there are several hypotheses proposed to explain escape in exoplanets, testing them with atmospheric observations remains a challenge. In this context, high-resolution transmission spectroscopy of transiting exoplanets for the metastable helium triplet (He 2S) at nm has emerged as a reliable technique to observe and measure escape. To aid in the prediction and interpretation of metastable He transmission spectroscopy observations, we developed the code p-winds. This is an open-source, fully documented, scalable Python implementation of the one-dimensional, purely H+He Parker wind model for upper atmospheres coupled with ionization balance, ray-tracing, and radiative transfer routines. We demonstrate an atmospheric retrieval by fitting…
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