자료유형  

 학위논문

Control Number  

0017163871

International Standard Book Number  

9798384098027

Dewey Decimal Classification Number  

520

Main Entry-Personal Name  

McKay, Myles Anthony Aaron Alexander.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Washington., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

141 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-03, Section: B.

General Note  

Advisor: Williams, Benjamin.

Dissertation Note  

Thesis (Ph.D.)--University of Washington, 2024.

Summary, Etc.  

요약Nearby galaxies provide critical insights into the complex chemical and stellar evolution of galaxies over cosmic time. High-quality resolved measurements provide insight into the intrinsic details of evolution when investigating the stellar population and chemical abundance in the bulge and disk regions. Furthermore, this allows us to compare the radial distribution properties of different galaxies to examine their recent evolution, especially among distinct galaxies. In this work, we utilize integral field unit spectroscopy (IFS) and high-resolution stellar photometry to examine the distribution of nearby galaxies. We first investigate the radial distribution of stellar population, star formation, and oxygen abundance in centrally star-forming galaxies with photometrically red disks, termed BreakBRD galaxies, compared to the parent sample using the MaNGA IFS survey. We find that the BreakBRD galaxies exhibit a significant positive stellar population age profile but show no significant variation in stellar mass surface density, star formation surface density, or oxygen abundance. We estimate the RGB metallicity gradient of M31's northern and southern halves from the PHAT and PHAST surveys, respectively, and find a shallow negative gradient in both halves. We interpret this result as indicating that the older RGB stellar population is well mixed throughout the disk. Additionally, we have developed a photometry pipeline for future flagship surveys and used high-quality MaNGA data with a high-performance deep learning model to test prediction accuracy for recovering the ionization source.

Subject Added Entry-Topical Term  

Astronomy.

Subject Added Entry-Topical Term  

Astrophysics.

Subject Added Entry-Topical Term  

Analytical chemistry.

Subject Added Entry-Topical Term  

Atmospheric sciences.

Index Term-Uncontrolled  

Galaxy evolution

Index Term-Uncontrolled  

Metallicity

Index Term-Uncontrolled  

Spectroscopy

Index Term-Uncontrolled  

Star formation

Index Term-Uncontrolled  

Stellar photometry

Index Term-Uncontrolled  

Stellar evolution

Added Entry-Corporate Name  

University of Washington Astronomy

Host Item Entry  

Dissertations Abstracts International. 86-03B.

Electronic Location and Access  

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Control Number  

joongbu:658231