7 citations · 7 across the 4 of their papers we have counts for
4 papers
A public dataset of Ariel simulated observations for developing exoplanetary atmosphere data reduction pipelines
Lorenzo V. Mugnai, Kai Hou Yip, Andrea Bocchieri +7
Detecting and characterising exoplanet atmospheres remains challenging because atmospheric signals can be comparable to residual noise and instrumental/astrophysical systematics. S…
Adaptive Online Emulation for Accelerating Complex Physical Simulations
Tara P. A. Tahseen, Nikolaos Nikolaou, Luís F. Simões +3
Complex physical simulations often require trade-offs between model fidelity and computational feasibility. We introduce Adaptive Online Emulation (AOE), which dynamically learns n…
Extreme Learning Machines for Exoplanet Simulations: A Faster, Lightweight Alternative to Deep Learning
Tara P. A. Tahseen, Luís F. Simões, Kai Hou Yip +3
Increasing resolution and coverage of astrophysical and climate data necessitates increasingly sophisticated models, often pushing the limits of computational feasibility. While em…
Enhancing 3D Planetary Atmosphere Simulations with a Surrogate Radiative Transfer Model
Tara P. A. Tahseen, João M. Mendonça, Kai Hou Yip +1
This work introduces an approach to enhancing the computational efficiency of 3D atmospheric simulations by integrating a machine-learned surrogate model into the OASIS global circ…