Research
I am a third-year PhD at the Ludwig Maximilian University (University Observatory) Munich in the Theoretical Astrophysics of Extrasolar Planets group. I’m currently working on the application of atmospheric retrieval methods involving machine learning techniques to the atmospheres of brown dwarfs and directly imaged exoplanets. In doing so, I’m explicitly interested in combining Brown Dwarf theory with astrostatistics methods like Bayesian statistics.
My ADS library
https://orcid.org/0000-0001-6960-0256
Recent Projects
Information content of JWST spectra of WASP-39b: Lueber et al. (2024)
WASP-39b was observed using several different JWST instrument modes, and the ERS team published the spectra in a series of papers. We examined the information content of these spectra measured using the different instrument modes, focusing on the complexity of the temperature-pressure profiles and the number of chemical species warranted by the data. Two Bayesian inference methods are used to perform atmospheric retrievals: standard nested sampling and supervised machine learning of the random forest (trained on a model grid).
Intercomparison of Brown Dwarf Model Grids and Atmospheric Retrieval Using Machine Learning: Lueber et al. (2023)
Using the supervised machine learning method of the random forest, we studied the information content of 14 previously published model grids of brown dwarfs (from 1997 to 2021) and explored the parameter space of generated posteriors for our curated dataset including benchmark brown dwarfs (Gl 570D,
epsilon Indi Ba and Bb) as well as a sample of 19 L and T dwarfs; this sample was previously analyzed in Lueber et al. (2022) using traditional Bayesian methods (nested sampling).
Retrieval Study of Brown Dwarfs Across the L-T Sequence: Lueber et al. (2022)
We performed a large suite of atmospheric retrievals on a curated sample of 19 brown dwarfs spanning the entire L-T spectral types to look for trends in their properties and investigate issues with the current techniques used to examine emission spectra.
