Correcting Exoplanet Transmission Spectra for Stellar Activity with an Optimised Retrieval Framework

Stellar activity in the form of photospheric heterogeneities such as spots and faculae may present a significant noise source for exoplanetary observations by introducing a chromatic contamination effect to the observed transmission spectrum. If this contamination is not identified and corrected for, it can introduce substantial bias in our analysis of the planetary atmosphere. In this work we aim to determine how physically realistic and complex our stellar models must be in order to accurately extract the planetary parameters from transmission spectra. We explore which simplifying assumptions about the host star are valid at first order and examine if these assumptions break down in cases of extreme stellar activity. To do this, we use a more complex stellar model (StARPA) as the input observation for a combined stellar-planetary retrieval with TauREx3, in which the contamination is accounted for using a simplified stellar model (ASteRA). Using the StARPA model as a benchmark, we validate the use of ASteRA using a retrieval framework of 27 simulated, spot-contaminated transmission spectra to determine in which conditions it performs most favourably. For cases of low to moderate stellar activity ASteRA performs well, retrieving the planetary parameters with a high degree of accuracy. For the most active cases some residual contamination remains due to ASteRA neglecting the effect of limb darkening. Nevertheless, using ASteRA presents a substantial improvement over neglecting the contamination entirely, which can result in retrieved planetary parameters that are incorrect by up to two orders of magnitude.