Correction d'aberrations de spectromètres à l'aide de réseaux holographiques enregistrés sur des surfaces non planes : études théorique et expérimentale
Georges Horugavye (STAR)

https://www.sciences.uliege.be/cms/c_10770197/fr/soutenance-de-these-de-georges-horugavye

Greenhouse gas (CO₂, CH₄, N₂O) emissions from ecuadorian mountainous streams and high elevation lakes
Gonzalo Chiriboga Gavidia (UOC)

Vers une meilleure compréhension du transport du carbone dans l'océan global
Florian Ricour (MAST)

Towards the detailed atmospheric characterization of terrestrial exoplanets around late M-dwarfs
Lionel Garcia (EXOTIC)

In the coming decade, the atmospheric characterization of exoplanets as small as Earth will only be possible for planets transiting stars much smaller than the Sun: late M-dwarfs. While progress in instrumentation slowly enables the study of these distant worlds, many challenges remain. First of all, the transit signals of these exoplanets are mixed with correlated noise that hinders their detection. During this thesis, I developed a novel algorithm that can cope with these characteristics, and detect transiting exoplanets at an unprecedented level. In order to characterize the atmospheres of these exoplanets, I studied the effect of stellar contamination, as active regions on the stellar photosphere can hide the signatures from planetary atmospheres. I highlighted the limitations of using 1D theoretical stellar spectra to account for this effect, and showed the impact of this approach on the interpretation of the transit transmission spectra of the rocky exoplanet TRAPPIST-1h. To conclude, I underscored the capabilities of the SPECULOOS survey, which will help lay a path towards the detailed atmospheric characterization of terrestrial exoplanets around late M-dwarfs, in the search for life.

Soutenance de thèse de Lionel Garcia

End-to-end performance simulations of infrared vortex coronagraphs for extremely large telescopes
Brunella Carlomagno (PSILab)

https://www.sciences.uliege.be/cms/c_11640914/fr/soutenance-de-these-de-brunella-carlomagno

Detection of minute-long Gravitational Wave transients using Deep Learning methods
Vincent Boudart (IFPA)

https://www.sciences.uliege.be/cms/c_11805994/fr/soutenance-de-these-de-vincent-boudart

Ultraviolet auroral emissions associated with plasma injections in Jupiter's magnetosphere
Maïté Dumont (LPAP)

https://www.sciences.uliege.be/cms/c_11806046/fr/soutenance-de-these-de-maite-dumont

Development of Metasurface Implementations for high-performance Vortex Phase Masks
Lorenzo König (PSILab)

Application of deep learning techniques for exoplanet detection in high contrast imaging
Carles Cantero (PSILab)