Estimating morphological parameter of galaxies logo

Estimating morphological parameter of galaxies

2024 · 2024 Competition

Category: Research

Project Overview

One Liner: Bayesian Neural Network for inferring morphological parameters of Low Surface Brightness Galaxy

Abstract

In this thesis, we aim to filter out biases of Bayesian Neural Network trained on synthetically generated images of Low Surface Brightness Galaxies.

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Screenshots

6 image(s)
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Team Members

Mathilda Nguyen
Mathilda Nguyen
quynh.thinhu.nguyen@drexel.edu

Team Lead

Mathilda Nguyen
Mathilda Nguyen
quynh.thinhu.nguyen@drexel.edu

Advisors

Vasilis Gkatzelis
Vasilis Gkatzelis
vasileios.gkatzelis@drexel.edu