1. New Views of the Hot and Diffuse Gaseous Universe with the Thermal Sunyaev?Zel?dovich Effect
- Author
-
Pratt, Cameron
- Subjects
- Missing Baryon Problem, Sunyaev-Zel'dovich Effect, Machine Learning, Galaxy Groups and Clusters
- Abstract
Most of the baryonic matter in the Universe is expected to exist as diffuse gas surrounding galaxies, galaxy groups, and galaxy clusters. Detecting this is a difficult task, especially when it is too diffuse to see in X-ray emission. The Sunyaev-Zel'dovich (SZ) effect offers an independent view of cosmological gas by measuring spectral distortions in the cosmic microwave background (CMB). In this thesis, I present the process of extracting SZ maps (y-maps) from Planck and WMAP data. These y-maps are used to estimate the gaseous contents around individual systems, particularly galaxy groups. Moreover, part of this work includes the first resolved SZ signal measured from a stack of nearby galaxy groups. Then I describe the efforts made improve the quality of current SZ data using machine learning. Specifically, I discuss two methodologies to extract the SZ signal with deep learning. Finally, I will conclude with a statement regarding the current state of SZ data and the notable caveats of using mock data and supervised learning to make real-world predictions.
- Published
- 2024