Selection of exoplanets in the habitable zone for atmospheric characterization with the James Webb Space Telescope

The James Webb Space Telescope (JWST) is a powerful new tool that can be used for the atmospheric characterization of exoplanets, with unprecedented sensitivity and spectral resolution. To select the best exoplanets for atmospheric characterization with JWST, we want to prioritize those in the habitable zone and for which we can obtain some atmospheric information through transmission or emission spectroscopy. In this thesis, I will present a selection algorithm for choosing exoplanets in the habitable zone that are optimal for atmospheric characterization with JWST, according to specific metrics. I will also apply this algorithm to a catalogue of known exoplanets to identify a list of priority targets for JWST observations.