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Reconstructing the star formation histories of galaxies with the dense basis method
Descriptive
TitleInfo
Title
Reconstructing the star formation histories of galaxies with the dense basis method
Name
(type = personal)
NamePart
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Iyer
NamePart
(type = given)
Kartheik Ganesh
NamePart
(type = date)
1990-
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Kartheik Ganesh Iyer
Role
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(authority = RULIB)
author
Name
(type = personal)
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(type = family)
Gawiser
NamePart
(type = given)
Eric
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Eric Gawiser
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Advisory Committee
Role
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chair
Name
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Somerville
NamePart
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Rachel S.
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Rachel S. Somerville
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Advisory Committee
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internal member
Name
(type = personal)
NamePart
(type = family)
Baker
NamePart
(type = given)
Andrew J.
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Andrew J. Baker
Affiliation
Advisory Committee
Role
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(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Oh
NamePart
(type = given)
Seongshik
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Seongshik Oh
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Acquaviva
NamePart
(type = given)
Viviana
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Viviana Acquaviva
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Advisory Committee
Role
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(authority = RULIB)
outside member
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
School of Graduate Studies
Role
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school
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Text
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theses
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2019
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2019-10
Language
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English
Abstract
(type = abstract)
The star formation histories (SFHs) of galaxies have long been approximated by simple parametric forms while estimating quantities like stellar masses, star formation rates and ages. However, there is considerable diversity seen among galaxy SFHs in cosmological simulations, and individual SFHs are variable across a range of timescales corresponding to the various physical processes that govern star formation. With higher S/N multiwavelength Spectral Energy Distributions (SEDs) from broadband photometry and sophisticated analysis tools, we develop the Dense Basis SED fitting method (Iyer & Gawiser 2017) to reconstruct the SFHs of individual galaxies with uncertainties. Applying this method to CANDELS data, we reconstruct the SFHs of nearly 50,000 galaxies across a wide range of redshifts. An updated version of the method (Iyer et al. 2019) uses Gaussian Processes to create smooth SFHs that are independent of any choice of functional form, with a flexible number of parameters that recover the maximum amount of information from individual SEDs.
Using this method, we estimate the number and duration of major star formation episodes in a galaxy's past, in addition to quantifying the evolution of galaxy SFHs with mass, morphology, and redshift. The distribution of SFHs at a particular epoch constrains feedback and wind strengths modeled in simulations of galaxy evolution. (Iyer et al. 2018) uses SFHs as trajectories in SFR-M* space to probe the previously inaccessible low-mass, high-redshift regime of the SFR-M* correlation. This new technique of SFH reconstruction allows us to probe a wide range of quantities that were previously inaccessible through SED fitting, creating new possibilities of probing galaxy formation and evolution at high redshifts.
Using this method, we estimate the number and duration of major star formation episodes in a galaxy's past, in addition to quantifying the evolution of galaxy SFHs with mass, morphology, and redshift. The distribution of SFHs at a particular epoch constrains feedback and wind strengths modeled in simulations of galaxy evolution. (Iyer et al. 2018) uses SFHs as trajectories in SFR-M* space to probe the previously inaccessible low-mass, high-redshift regime of the SFR-M* correlation. This new technique of SFH reconstruction allows us to probe a wide range of quantities that were previously inaccessible through SED fitting, creating new possibilities of probing galaxy formation and evolution at high redshifts.
Subject
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Topic
Physics and Astronomy
Subject
(authority = LCSH)
Topic
Galaxies -- Formation
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Title
Rutgers University Electronic Theses and Dissertations
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ETD_10197
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application/pdf
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Extent
1 online resource (xiii, 219 pages) : illustrations
Note
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Ph.D.
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Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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NjNbRU
Identifier
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doi:10.7282/t3-e5re-6j42
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Iyer
GivenName
Kartheik
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2019-08-29 13:13:39
AssociatedEntity
Name
Kartheik Iyer
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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2019-08-29T17:02:22
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