The Resource Investigating the formation mechanism of polycyclic aromatic hydrocarbons and adapting particle swarm optimization techniques to search large data sets, by Daniel P. Caputo, (electronic resource)

Investigating the formation mechanism of polycyclic aromatic hydrocarbons and adapting particle swarm optimization techniques to search large data sets, by Daniel P. Caputo, (electronic resource)

Label
Investigating the formation mechanism of polycyclic aromatic hydrocarbons and adapting particle swarm optimization techniques to search large data sets
Title
Investigating the formation mechanism of polycyclic aromatic hydrocarbons and adapting particle swarm optimization techniques to search large data sets
Statement of responsibility
by Daniel P. Caputo
Creator
Contributor
Thesis advisor
Subject
Genre
Language
eng
Summary
The unidentified infrared bands (UIBs) have been attributed to emission from polycyclic aromatic hydrocarbons (PAHs). The UIBs at 3.3 and 11.3 [mu]m, among others, are seen in many astrophysical environments, with the notable exception of carbon-rich AGB stars (C stars). PAHs are expected to form around C stars, yet only a few show the UIBs and all of these have hot companions. This makes C stars with hot companions an ideal environment to study the conditions associated with PAH formation and processing. We present new observations, taken using the Gemini North telescope, of several C stars with hot companions in order to understand the distribution of PAHs responsible for the emerging UIB emission. As the size of data and model sets continue to increase, more efficient ways are needed to sift through the available information. We also present a computational method which will efficiently search large parameter spaces to either map the space or find individual data/models of interest. This is done through a heavily modified Particle Swarm Optimization algorithm
Cataloging source
MUU
http://library.link/vocab/creatorName
Caputo, Daniel P
Degree
M.S.
Dissertation year
2010.
Granting institution
University of Missouri--Columbia
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/relatedWorkOrContributorName
Speck, Angela K.
http://library.link/vocab/subjectName
  • Polycyclic aromatic hydrocarbons
  • Ion swarms
  • Astrophysics
Target audience
specialized
Label
Investigating the formation mechanism of polycyclic aromatic hydrocarbons and adapting particle swarm optimization techniques to search large data sets, by Daniel P. Caputo, (electronic resource)
Instantiates
Publication
Note
  • Title from PDF of title page (University of Missouri--Columbia, viewed on June 3, 2010)
  • The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file
  • Thesis advisor: Dr. Angela Speck
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
646843392
Extent
1 online resource (vii, 86 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)646843392
Label
Investigating the formation mechanism of polycyclic aromatic hydrocarbons and adapting particle swarm optimization techniques to search large data sets, by Daniel P. Caputo, (electronic resource)
Publication
Note
  • Title from PDF of title page (University of Missouri--Columbia, viewed on June 3, 2010)
  • The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file
  • Thesis advisor: Dr. Angela Speck
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
646843392
Extent
1 online resource (vii, 86 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)646843392

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