Faint galaxy observations and model predictions
department or school: Science, Faculty of
department or school: Physics and Astronomy, Department of
data provider: DSpace
degree campus: UBCV
creator: Hogg, David William
issued: 2008-12-24T18:52:55Z
issued: 1992
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: Difficulties with direct comparisons of corrected observational data and model predictions are discussed in the context of faint galaxy number counts and redshift distributions. By simulating images, based on various model universes, and reducing the images via a variety of algorithms, concerns regarding surface brightness biases, systematic and random photometry errors, and incompleteness corrections can be explored. Two software tools have been developed to aid in this investigation, a faint object photometry package (bigphot), and an image simulator. The simulations suggest that attempts to extend number count observations as deep as possible via incompleteness corrections are suspect. Models in which number evolution of the galaxy population has a (1 + z)η redshift dependence on the normalization of the luminosity function (ϕ* in the Schechter function) suggests a value of η between 1 and 3.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/3322
extent: 1493219 bytes
format: application/pdf
note: FAINT GALAXY OBSERVATIONS AND MODEL PREDICTIONSByDAVID WILLIAM HOGGB.Sc., McGill University, 1987A THESIS SUBMITTED IN PARTIAL FULFILLMENT OFTHE REQUIREMENTS FOR THE DEGREE OFMASTER OF SCIENCEinTHE FACULTY OF GRADUATE STUDIESDepartment of Geophysics and AstronomyWe accept this thesis as conformingto the required standardTHE UNIVERSITY OF BRITISH COLUMBIASeptember 1992®David Wiffiam Hogg, 1992In presenting this thesis in partial fulfilment of the requirements for an advanceddegree at the University of British Columbia, I agree that the Library shall make itfreely available for reference and study. I further agree that permission for extensivecopying •of this thesis for scholarly purposes may be granted by the head of mydepartment or by his or her representatives. It is understood that copying orpublication of this thesis for financial gain shall not be allowed without my writtenpermission.Department of 1QcpAy5Ic5 cJ Aoiom,The University of British ColumbiaVancouver, CanadaDate Oc+erDE-6 (2/88)AbstractDifficulties with direct comparisons of corrected observational data and model predictions are discussed in the context of faint galaxy number counts and redshift distributions.By simulating images, based on various model universes, and reducing the images via avariety of algorithms, concerns regarding surface brightness biases, systematic and random photometry errors, and incompleteness corrections can be explored. Two softwaretools have been developed to aid in this investigation, a faint object photometry package(bigphot), and an image simulator. The simulations suggest that attempts to extendnumber count observations as deep as possible via incompleteness corrections are suspect.Models in which number evolution of the galaxy population has a (1 + z) redshift dependence on the normalization of the luminosity function (4,* in the Schechter function)suggests a value of i between 1 and 3.11ContentsABSTRACTLIST OF TABLESLIST OF FIGURESACKNOWLEDGEMENTS1 Introduction3 Image…
has type: Thesis/Dissertation
date issued: 1992-05
is shown at: 10.14288/1.0086864
language: eng
degree discipline: Astronomy
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/3322