Samuel Wright
I joined UCL's CDT in Data Intensive Science because it presented a great opportunity to learn more about machine learning and data science, while combining an industry element with Astrophysics.
![Samuel Wright Talk Samuel Wright Talk](https://www.ucl.ac.uk/data-intensive-science-industry/sites/data_intensive_science_industry/files/research-project/samuel_wright_talk.jpg)
1 January 2019
Project title: Non-LTE Molecular Spectroscopy for Exoplanet Atmospheres
Research Group: Astrophysics
Supervisor(s): Prof Sergey Yurchenko & Dr Ingo Waldmann
Introduction:
![Samuel Wright Samuel Wright](https://www.ucl.ac.uk/data-intensive-science-industry/sites/data_intensive_science_industry/files/styles/small_image/public/samuel_wright-profile.jpg?itok=NY2oE4vW)
Project description:
My PhD project investigates Exoplanet atmospheres, specifically looking at the composition of atmospheres at points where the molecules are not in local thermodynamic equilibrium (non-LTE). The aim is to gain a more detailed understanding of the molecules (e.g. water or methane) which are present in Exoplanet atmospheres. I use large custom molecular data sets coupled with Bayesian inference methods to analyse data collected from the Hubble and James Webb space telescopes in the context of these non-LTE effects. In addition, I also model Exoplanet transmission and emission spectra and simulate observations for space based instruments to evaluate the potential spectral detectability of these effects.
First year group project: Babylon-2
Placement: SpaceLux