A GENETIC ALGORITHM FOR STELLAR PHOTOMETRY

dc.contributor.author	Parker, J.R.	eng
dc.date.accessioned	2008-05-08T18:41:38Z
dc.date.available	2008-05-08T18:41:38Z
dc.date.computerscience	1999-05-27	eng
dc.date.issued	1995-04-01	eng
dc.description.abstract	A class of scientific images, which we will call blot images, contains information in the form of relationships between grey level pixels. One way to extract this information is to fit model functions to the objects in the image. We have explored the use of a Moffat function as a data model, and use a genetic algorithm to fit many instances of this function to the data in the image. The example of stellar photometry is used, a natural application for the Moffat function.	eng
dc.description.notes	We are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.ca	eng
dc.identifier.department	1995-565-17	eng
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/30923
dc.identifier.uri	http://hdl.handle.net/1880/46437
dc.language.iso	Eng	eng
dc.publisher.corporate	University of Calgary	eng
dc.publisher.faculty	Science	eng
dc.subject	Computer Science	eng
dc.title	A GENETIC ALGORITHM FOR STELLAR PHOTOMETRY	eng
dc.type	unknown
thesis.degree.discipline	Computer Science	eng