For modeling the spectra of exoplanets one must know their atmospheric composition. This is necessary because the abundance of molecules, atoms, ions and condensates is needed to construct the total […]
AI – Data – Apps – Cybernetics
Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels
Inferring atmospheric properties of exoplanets from observed spectra is key to understanding their formation, evolution, and habitability.
Assessing Methods for Telluric Removal On Atmospheric Retrievals of High-resolution Optical Exoplanetary Transmission Spectra
Recent advancements in ultra-stable ground-based high-resolution spectrographs have propelled ground-based astronomy to the forefront of exoplanet detection and characterisation. Retrieving accurate atmospheric parameters depends on accurate modelling and removal of […]
Exoplanet Imaging Data Challenge, Phase II: Comparison Of Algorithms In Terms Of Characterization Capabilities
In this communication, we report on the results of the second phase of the Exoplanet Imaging Data Challenge started in 2019.
Generative AI for Overall Mission Effectiveness at the Habitable Worlds Observatory
Here we present several use cases for using Generative AI (Gen AI) to improve systems engineering and cognitive knowledge management related to the future of astronomy from a culmination of […]
MultIHeaTS: A Fast and Stable Thermal Solver for Multilayered Planetary Surfaces
A fully implicit scheme is proposed for solving the heat equation in 1D heterogeneous media, available as a computationally efficient open-source Python code. The algorithm uses finite differences on an […]
Cthulhu: An Open Source Molecular and Atomic Cross Section Computation Code for Substellar Atmospheres
Atmospheric studies of exoplanets and brown dwarfs are a cutting-edge and rapidly evolving area of astrophysics research. Calculating models of exoplanet or brown dwarf spectra requires knowledge of the wavelength-dependent […]
Planetary Mass Determinations from a Simplified Photodynamical Model — Application To The Complete Kepler Dataset
We use PyDynamicaLC, a model using the least number of, and the least correlated, degrees of freedom needed to derive a photodynamical model, to describe some of the smallest — […]
MODEL&CO: Exoplanet Detection In Angular Differential Imaging By Learning Across Multiple Observations
Direct imaging of exoplanets is particularly challenging due to the high contrast between the planet and the star luminosities, and their small angular separation. In addition to tailored instrumental facilities […]
An Alternating Minimization Algorithm with Trajectory for Direct Exoplanet Detection — The AMAT Algorithm
Effective image post-processing algorithms are vital for the successful direct imaging of exoplanets. Standard PSF subtraction methods use techniques based on a low-rank approximation to separate the rotating planet signal […]
