A least squares adjustment for long baseline interferometry

dc.contributor.authorDavidson, Derek, A.
dc.date.accessioned2023-06-07T22:44:54Z
dc.date.available2023-06-07T22:44:54Z
dc.description.abstractLong baseline interferometry software and data, developed by the Canadian L.B.I. group at York University has been combined with a least squares adjustment package. The options have been implemented to accept an input of both weighted parameters and functional parameter constraints. The results are then analysed statistically, including a chi-square goodness-of-fit test in residuals, a rejection criteria for residual outliers, and chi-square test on the variance factor. The package has been developed with closer regard to computer economy. Computer storage space has been reduced by 60% and processing time has been reduced by 96% compared with the previously used maximum likelihood adjustment routines. This increase in efficiency has resulted in an ability to input a larger number of observations and, accordingly, in an improvement in accuracy.
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/36976
dc.rightshttp://purl.org/coar/access_right/c_16ec
dc.titleA least squares adjustment for long baseline interferometry
dc.typesenior report
thesis.degree.levelundergraduate

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