Packing and depacking histograms with statistical processing

Published: 1 January 1996| Version 1 | DOI: 10.17632/sd8c5pj26t.1
S. Louvel, J.-F. Chamayou


Abstract A method is described and implemented which reduces the size of a histograms data base arising from a large set of histograms. The program compresses the histogram data before storage, avoiding significant loss of information and can be adapted to sample more densely areas of interest. The method has been applied to image processing where histograms were numbers of counts for the 256 gray levels of a subsampled image of millions of pixels. Title of program: NGRC, CRSUP, RES-FIT, SPEC-FIT Catalogue Id: ADCE_v1_0 Nature of problem The program NGRC was written to implement a gamma response function interpolation scheme for a 5" x 5" NaI(Tl) spectrometer. The program takes a library of response functions that were measured at specified energies and constructs response functions at any intermediate energy. These response functions are used in the unfolding of continuous gamma spectra measured by the same spectrometer. The number of response functions to be constructed is input by the user and NGRC places their centroids so t ... Versions of this program held in the CPC repository in Mendeley Data ADCE_v1_0; NGRC, CRSUP, RES-FIT, SPEC-FIT; 10.1016/0010-4655(95)00129-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)



Nuclear Physics, Computational Physics