Seung-gyu Hwang

About me

I am a 1st year PhD student under the supervision of Natalia Porqueres and Jean-Luc Starck.

 

Research Interests

My research focuses on the impact of source clustering on high-order weak lensing statistics in the context of the Euclid mission. By measuring the shapes and positions of billions of galaxies with unprecedented precision, Euclid will enable weak gravitational lensing to probe dark matter, dark energy, and the growth of cosmic structure. While conventional weak lensing analyses are primarily based on two point statistics, they do not fully exploit the non-Gaussian information contained in the cosmic web.

High-order statistics provide more powerful cosmological constraints, but are also more sensitive to systematic effects. One such systematic effect is source clustering, arising from the non-uniform distribution of background galaxies that correlate the underlying matter density. My work develops inference frameworks to model this effect within matter fields, quantify its impact on cosmological parameters, and improve the robustness of precision cosmology with Euclid data.

 

Publication

• How to use GP: Effects of the mean function and hyperparameter selection on Gaussian Process regression
  S.-g. Hwang, B. L’Huillier, R. E. Keeley, M. J. Jee, and A. Shafieloo, Published in Journal of Cosmology and Astroparticle Physics 02 (2023) 014, arXiv:2206.15081

 

Education

• Master's degree in Astronomy, Yonsei University, Seoul, South Korea
  Thesis: Rigorous application of Gaussian process regression for comsmology
  Advisor: Benjamin L'Huillier, James M. Jee
• Bachelor's degree in Astronomy, Yonsei University, Seoul, South Korea