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Semi-analytic forecasts for galaxy formation and cosmic reionization in the ultrahigh-redshift universe
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TitleInfo
Title
Semi-analytic forecasts for galaxy formation and cosmic reionization in the ultrahigh-redshift universe
Name (type = personal)
NamePart (type = family)
Yung
NamePart (type = given)
Long Yan Aaron
NamePart (type = date)
1992-
DisplayForm
Long Yan Aaron Yung
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author
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Somerville
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Rachel S
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Rachel S Somerville
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Advisory Committee
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chair
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Baker
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Andrew J
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Andrew J Baker
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Advisory Committee
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internal member
Name (type = personal)
NamePart (type = family)
Sengupta
NamePart (type = given)
Anirvan M
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Anirvan M Sengupta
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Advisory Committee
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internal member
Name (type = personal)
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Jha
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Saurabh W
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Saurabh W Jha
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Advisory Committee
Role
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internal member
Name (type = personal)
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Finkelstein
NamePart (type = given)
Steven L
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Steven L Finkelstein
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Advisory Committee
Role
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outside member
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Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
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NamePart
School of Graduate Studies
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school
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Text
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theses
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ETD doctoral
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2020
DateOther (type = degree); (qualifier = exact); (encoding = w3cdtf)
2020-10
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2020
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Concerning the early evolution history of our universe and distant galaxies that are expected to be uncovered with future telescopes, we present a collection of comprehensive, physically-backed forecasts for galaxy populations across cosmic time and their interaction with the cosmic environment. Our predictions cover galaxies spanning a remarkably wide range of mass and redshift, for which we provide a large variety of physical and observable properties, and from which we derive the production rate of energetic photons and the subsequent reionization history. These pre-eminent results are achieved with a custom-built modelling pipeline based on the versatile Santa Cruz semi-analytic model for galaxy formation and the new model components introduced in this work. This efficient modelling pipeline established an effective link between the ‘ground-level’ galaxy formation physics and the ‘top-level’ cosmological-scale observables, which also enables controlled experiments that help pinpoint the set of physical processes that have leading effects on cosmological events and quantifying their impacts. This work demonstrates the enormous potential of using semi-analytic models to inform the planning of optimal survey strategies, support scientific rationale for observing programs, and facilitate physical interpretation for observed objects. In anticipation of the soon-to-be-launched James Webb Space Telescope, a portion of our predictions are tailored to explore its capability on detecting faint, distant galaxies and on constraining key galaxy formation physics.
Subject (authority = local)
Topic
Cosmic reionization
Subject (authority = RUETD)
Topic
Physics and Astronomy
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD_11049
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application/pdf
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1 online resource (xii, 214 pages) : illustrations
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Ph.D.
Note (type = bibliography)
Includes bibliographical references
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Title
School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-fj8m-0s85
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Yung
GivenName
Long Yan
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-07-20 00:53:55
AssociatedEntity
Name
Long Yan Yung
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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1.5
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2020-07-20T10:51:24
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2020-07-20T10:51:24
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