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Small Samples No More: Probing the Evolution of Massive Stars.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Small Samples No More: Probing the Evolution of Massive Stars./
Author:	Dorn-Wallenstein, Trevor Z.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	294 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
Contained By:	Dissertations Abstracts International83-05B.
Subject:	Astrophysics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28545953
ISBN:	9798480642438

Small Samples No More: Probing the Evolution of Massive Stars.
Dorn-Wallenstein, Trevor Z.

Small Samples No More: Probing the Evolution of Massive Stars. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 294 p.

Source: Dissertations Abstracts International, Volume: 83-05, Section: B.

Thesis (Ph.D.)--University of Washington, 2021.

This item must not be sold to any third party vendors.

Evolved massive stars --- the post-main sequence descendants of stars with initial masses higher than roughly 8 solar masses --- are rare yet critically important objects. As residents of their host galaxies, they inject radiation and matter into their surroundings on short timescales before exploding as supernovae. Individually, they are fascinating astrophysical laboratories in which many of the unknowns of stellar evolution coalesce. Due to their rarity, these multitudinous unknowns remain under-constrained. In this work, I attempt to understand evolved massive stars using a variety of techniques that have only recently begun to be applied to these interesting objects. My studies of populations of young stars reveal that the massive star binary fraction can be inferred using only simple demographic statistics. However, these methods can only be used given large numbers of well-classified stars, and I show that even using advanced machine learning techniques, existing data are insufficient to classify these stars. Finally, I demonstrate the immense potential of using asteroseismology to probe the interiors of evolved massive stars, and discover a new class of pulsating supergiant.

ISBN: 9798480642438Subjects--Topical Terms:

535904
Astrophysics.
Subjects--Index Terms:

Asteroseismology

Small Samples No More: Probing the Evolution of Massive Stars.
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260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 294 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
500 $a Advisor: Levesque, Emily M.
502 $a Thesis (Ph.D.)--University of Washington, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Evolved massive stars --- the post-main sequence descendants of stars with initial masses higher than roughly 8 solar masses --- are rare yet critically important objects. As residents of their host galaxies, they inject radiation and matter into their surroundings on short timescales before exploding as supernovae. Individually, they are fascinating astrophysical laboratories in which many of the unknowns of stellar evolution coalesce. Due to their rarity, these multitudinous unknowns remain under-constrained. In this work, I attempt to understand evolved massive stars using a variety of techniques that have only recently begun to be applied to these interesting objects. My studies of populations of young stars reveal that the massive star binary fraction can be inferred using only simple demographic statistics. However, these methods can only be used given large numbers of well-classified stars, and I show that even using advanced machine learning techniques, existing data are insufficient to classify these stars. Finally, I demonstrate the immense potential of using asteroseismology to probe the interiors of evolved massive stars, and discover a new class of pulsating supergiant.
590 $a School code: 0250.
650 4 $a Astrophysics. $3 535904
650 4 $a Astronomy. $3 517668
653 $a Asteroseismology
653 $a Machine Learning
653 $a Massive Stars
653 $a Observations
653 $a Statistics
653 $a Stellar Populations
653 $a Evolved massive stars
690 $a 0596
690 $a 0606
710 2 $a University of Washington. $b Astronomy. $3 3685931
773 0 $t Dissertations Abstracts International $g 83-05B.
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792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28545953