[astro-ph.EP] The shape of an exoplanet encodes fundamental information about its internal structure. For close-in giant planets, strong stellar tidal forces induce measurable deformations that can be probed through high-precision […]
Ariel mission
aRieL – Reinforcement Learning For The Ariel Space Telescope Scheduling
[astro-ph.EP] The Ariel mission will conduct a population level survey of hundreds of exoplanet atmospheres, requiring observations to be scheduled across a large and diverse catalogue of potential targets.
Probing Exoplanetary Chemistry with Ariel: Scientific Priorities and Observational Strategies
[astro-ph.EP] Over the past two decades, increasingly precise observations have revealed that exoplanet atmospheres are chemically diverse and often far from equilibrium, with processes such as vertical mixing, photochemistry, and […]
Stellar Flares With Ariel: Detection Prospects And Impacts On Exoplanet Spectroscopy
[astro-ph.SR] Stellar flares are important tracers of magnetic activity and can significantly influence the characterization of exoplanet host stars by introducing time-dependent astrophysical variability.
Faithful Neural Embeddings For 3D Exoplanet Climate Modeling
[astro-ph.EP] With the rapid advancement of telescopes like JWST and Ariel, there is an urgent need for efficient 3D climate models to interpret observations of exoplanet atmospheres.
Graph Neural Networks For Exoplanet Atmospheres
[astro-ph.IM] Calculating disequilibrium chemistry in exoplanet atmospheres remains a significant computational bottleneck in atmospheric retrievals. The increasing observational precision from facilities such as JWST and the Ariel mission requires including […]
Astrochemical Study of Early Embedded Discs
[astro-ph.SR] The question of how our planet was formed and, more generally, how a planetary system forms is fundamental and has been addressed in a broad range of research domains. […]
Radiatively Controlled Thermal Stability of High-Altitude Clouds in Exoplanetary Atmospheres
[astro-ph.EP] One of the most striking findings of exoplanetary science is the ubiquity of clouds. A conventional approach to infer the cloud compositions is to utilize the thermochemical equilibrium model […]
Machine Learning And Deep Learning For Exoplanet Detection And Atmospheric Characterization With JWST And The Upcoming Ariel Mission
[astro-ph.IM] The detection and atmospheric characterization of exoplanets have entered a new data-intensive era driven by the James Webb Space Telescope and the upcoming Ariel mission.
Assessing Ariel’s Capabilities To Observe Free-floating Brown Dwarfs
The primary goal of the Ariel space telescope is to conduct the biggest spectroscopic survey of transiting exoplanets to characterize their atmospheres and weather.
