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Numerical Integration And Data Reduction For Application In Photometry

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dc.contributor.authorChew, Tong Fatt
dc.date.accessioned2025-02-24T07:01:56Z
dc.date.available2025-02-24T07:01:56Z
dc.date.issued2003-10
dc.description.abstractIn this thesis, an algorithm based on a local interpolation scheme called the Average Angle Method was developed for numerical integration and data reduction of photometric data, and in general, for any data set sharing similar characteristics as the luminous intensity data The new interpolation scheme interpolates discrete data with piecewise cubic polynomials having a CI continuity in the interior. knots. The first derivatives at the interior knots are estimated from the average of the angles subtended to the horizontal by two adjacent slopes. In a further development, the algorithm is extended to create another algorithm using quintic polynomial interpolation that has C2 continuity, providing smoother interpolation curves but retaining the local nature of interpolation.
dc.identifier.urihttps://erepo.usm.my/handle/123456789/21150
dc.language.isoen
dc.subjectPhotometry
dc.subjectNumerical Integration
dc.subjectData Reduction
dc.titleNumerical Integration And Data Reduction For Application In Photometry
dc.typeResource Types::text::thesis::master thesis
dspace.entity.typePublication
oairecerif.author.affiliationUniversiti Sains Malaysia
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Pusat Pengajian Sains Matematik - Tesis