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Mathematical smoothing of digitized x-ray spectra.

Authors
Marr-HE III
Source
NTIS: PB 211 943 :1-15
Link
NIOSHTIC No.
10009421
Abstract
A simple algorithm is presented for processing digitized x-ray spectra obtained with a si(li) or ge(li) semiconductor detector coupled to a multichannel analyzer. The simplified least-squares procedure is used to smooth out the statistical fluctuations in the spectrum by repeatedly fitting a quadratic equation to a predetermined number of channels and performing a traveling smooth across the spectrum. A logarithmic transform is applied to the raw data to minimize the distortion of the Gaussian-shaped peak profiles. The efficacy of the technique is evaluated by observing the distortion of several Gaussian-shaped peaks that have been subjected to the smoothing operation. The locations of maximums and minimums in the spectrum are predicted in the process as well as the values of the peak heights. The convolution integers from a least- squares fit of a quadratic equation are calculated as part of a Fortran subroutine. The building-block approach to computer programing in a small laboratory is discussed.
Publication Date
19720101
Document Type
IH; Information Circular;
Fiscal Year
1972
NTIS Accession No.
PB-211943
NTIS Price
A03
Identifying No.
IC 8553
NIOSH Division
CPRC;
Source Name
NTIS: PB 211 943
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