The main take away You cannot use IR data to easily predict the UV/optical spectrum of an #exoplanet predominantly due to the presence of clouds in the atmosphere which cause additional absorption that has less impact on long wavelength data. @NASAHubble is key!

We looked at the results from our models as a population but find no clear linear trends in cloudiness of the atmosphere with temperature or amount of water vapour, however, more complex trends are likely. We do show that the model determined temperature is similar to GCMs!

We show that the inclusion of data below 0.6 microns (@nasawebb-mirror.bsky.social#exoplanets atmosphere and that near-IR data alone is a poor predictor of the UV/optical spectrum measurable by @NASAHubble - associated with☁️

To assess changes to the measured parameters from one model fit to the next containing more data we compute the change in Information Content - a metric to define the increase in information you have with the new model. Higher number == more information gained with new model

We took 14 #exoplanet@distantworlds.space ) to ask the question: "what information do I gain as I add in more optical data?" to demonstrate the need for @NASAHubble UV/optical measurements

Hijacking my call for astronomers tut tut 🤨

Yay congratulations! ☺️🥂

A classic before the last train out of Waterloo! So great to see you as always. I shall think of you whenever I hear any bad astronomy lyrics

Yay can’t wait to see you there. Still working on my set and will be bricking it the whole night but can’t wait.

Paul thank you so much for that donation! You are a legend and it means so much that you are supporting this cause. I hope you are well and that we can help bring more awareness to #MensHealth