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dc.creatorBenner, D. Chrisen_US
dc.date.accessioned2007-11-20T17:15:39Z
dc.date.available2007-11-20T17:15:39Z
dc.date.issued1995en_US
dc.identifier1995-FA-01en_US
dc.identifier.urihttp://hdl.handle.net/1811/29899
dc.descriptionAuthor Institution: College of William and Mary, Williamsburg, VA 23187-8795.en_US
dc.description.abstractThe information content in a single Fourier Transform spectrum can be enormous. Often there are on the order of $10^{6}$ independent points each with a signal to noise ratio of $10^{3}$ or even higher, all of which is readily available in computer readable form. Obtaining the best information available from these spectra requires careful consideration of the instrumental effects and the spectroscopic modeling of the spectrum. The nonlinear least squares fitting technique has been employed by a number of groups in order to derive spectral line parameters. More recently, this technique has been refined to simultaneously include several laboratory spectra obtained under different physical conditions in a single solution. Correlations between parameters are often decreased in this manner. This technique becomes very computationally intensive without careful consideration of the best mathematical techniques. Of particular interest with this technique is the evaluation of estimated uncertainties in the derived parameters. With large quantities of data in a single solution, uncertainties due to random noise in the spectra may become considerably smaller than uncertainties due to systematic errors such as modeling problems and measurement of physical parameters. One must also be careful to monitor close correlations between parameters of the solution.en_US
dc.format.extent75413 bytes
dc.format.mimetypeimage/jpeg
dc.language.isoEnglishen_US
dc.publisherOhio State Universityen_US
dc.titleGETTING THE MOST OUT OF A LOT: THE ANALYSIS OF FOURIER TRANSFORM SPECTRAen_US
dc.typearticleen_US


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