As expected during this first period of the project, we have laid the foundations for the project by finishing the development, testing, and validation of the 3D radiative transfer code needed to produce observable signatures from our global climate model. This tool, Pytmoshp3R, is now described in Caldas et al. (2019; A&A). Although some future upgrades are foreseen, all the bricks of our integrated 3D planet simulator are now operational and produced initial scientific results.
During the second and third reporting period, this tool has allowed us to identify a completely new type of bias in the interpretation of transmission spectra of exoplanets due to the strong day to night side temperature gradient (Pluriel et al. 2020; Pluriel et al. 2022). We are currently testing new data analyzis techniques to overcome these biases when dealing with real data. We have also finalized an open-source, open-access, documented, user-friendly version of the code (Pytmosph3r) that has been publicly released (
http://perso.astrophy.u-bordeaux.fr/~jleconte/code.html(öffnet in neuem Fenster)). This version of the code has been published in Falco et al. (2022; A&A).
Thanks to our planet simulator, we have been able to provide new constraints on the nature of the atmosphere of these planets and make important predictions on their observability. In parallel, we have developed several new tools to study and predict the type of rotation states available for such planets. All this theoretical expertise will be instrumental in proposing future observations and interpreting them when they are available.
In parallel, the PI of the project has developed a new Python library to manage the large volume of radiative data for atmospheric modeling that has been released recently by various projects. The idea is that all these projects use different formats and standards which are generally different from the codes that use them. This library (Exo_k; Leconte, A&A, 2021) proposes a solution to seamlessly and efficiently convert datasets between all these formats, along with other features. It is open-source, open-access, and well documented (
http://perso.astrophy.u-bordeaux.fr/~jleconte/code.html(öffnet in neuem Fenster))
Overall, this work has contributed to strengthen the case for Ariel (Atmospheric Remote Sensing Infrared Large survey) -- an ESA led space mission whose science advisory team includes the PI of the whiplash project. This mission has finally been selected and adopted during this last reporting period for a launch in 2029.
Simultaneously, the team has participated to the discovery of the first planetary system around a cool, nearby star---the Trappist-1 system. This system is becoming kind of a Rosetta stone for exoplanet science: the central star is among the smallest in the galaxy and is relatively close to us. Only around such stars can we expect to characterize the atmosphere of temperate Earth-like planets with the future space telescope. And it is not one, but seven such planets that we have discovered around it, opening the way to comparative exoplanetology.