6 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, LuÃs 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…
Investigating the Influence of Asymmetric Errors on Retrievals of Exoplanet Transmission Spectra
Jack J. Davey, Kai Hou Yip, Quentin Changeat +1
In studies of exoplanet atmospheres using transmission spectroscopy, Bayesian retrievals are the most popular form of analysis. In these procedures it is common to adopt a Gaussian…
Extreme Learning Machines for Exoplanet Simulations: A Faster, Lightweight Alternative to Deep Learning
Tara P. A. Tahseen, LuÃs 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…
The effect of spectroscopic binning on atmospheric retrievals
Jack J. Davey, Kai Hou Yip, Ahmed F. Al-Refaie +1
With the JWST offering higher resolution data in space-based transmission spectroscopy, understanding the capabilities of our current atmospheric retrieval pipelines is essential.…
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…