NESC0605 GAUSS7.
GAUSS-5 GAUSS-7, Evaluation of Ge(Li) Detector Gamma Spectra
NAME OR DESIGNATION OF PROGRAM, COMPUTER, DESCRIPTION OF PROBLEM OR FUNCTION, METHOD OF SOLUTION, RESTRICTIONS ON THE COMPLEXITY OF THE PROBLEM, TYPICAL RUNNING TIME, UNUSUAL FEATURES OF THE PROGRAM, RELATED AND AUXILIARY PROGRAMS, STATUS, REFERENCES, MACHINE REQUIREMENTS, LANGUAGE, OPERATING SYSTEM UNDER WHICH PROGRAM IS EXECUTED, OTHER PROGRAMMING OR OPERATING INFORMATION OR RESTRICTIONS, NAME AND ESTABLISHMENT OF AUTHOR, MATERIAL, CATEGORIES
[ top ]
[ top ]
To submit a request, click below on the link of the version you wish to order.
Only liaison officers are authorised to submit online requests. Rules for requesters are
available here.
| Program name | Package id | Status | Status date |
|---|---|---|---|
| GAUSS-7 | NESC0605/02 | Tested | 04-MAR-1987 |
Machines used:
| Package ID | Orig. computer | Test computer |
|---|---|---|
| NESC0605/02 | CDC CYBER 176 | CDC CYBER 740 |
[ top ]
[ top ]
4. METHOD OF SOLUTION
The spectrum analysis is carries out in some or all of the following steps: a) Peaks in the spectrum are selected and used for internal energy and width calibrations. b) Significant peaks are determined by means of an auto-correlation routine.
c) Spectral regions that are significantly above the background are identified as peak regions. d) These lists of peaks and peak regions can be modified by the user to fit particular needs. e) Each peak region is analyzed to determine the area and position of each peak component. This step can be repeated for additional peak components. The peak components can be represented by a Gaussian function; a Gaussian function with one or two additive, exponential low-energy tails; or either of the two previous functions with an additive, exponential high-energy tail. The background is a linear function with or without a step-like increase at the center of each peak component. f) The energy and intensity of each peak component is computed.
The spectrum analysis is carries out in some or all of the following steps: a) Peaks in the spectrum are selected and used for internal energy and width calibrations. b) Significant peaks are determined by means of an auto-correlation routine.
c) Spectral regions that are significantly above the background are identified as peak regions. d) These lists of peaks and peak regions can be modified by the user to fit particular needs. e) Each peak region is analyzed to determine the area and position of each peak component. This step can be repeated for additional peak components. The peak components can be represented by a Gaussian function; a Gaussian function with one or two additive, exponential low-energy tails; or either of the two previous functions with an additive, exponential high-energy tail. The background is a linear function with or without a step-like increase at the center of each peak component. f) The energy and intensity of each peak component is computed.
[ top ]
5. RESTRICTIONS ON THE COMPLEXITY OF THE PROBLEM
GAUSS7 will handle spectra of up to 4096 channels, 300 peak regions, a total of 300 peaks in the search and required peak lists, and 10 peaks per region. In analyzing the peak regions to determine the area and position of peak components up to five fits can be carried out with up to ten components.
GAUSS7 will handle spectra of up to 4096 channels, 300 peak regions, a total of 300 peaks in the search and required peak lists, and 10 peaks per region. In analyzing the peak regions to determine the area and position of peak components up to five fits can be carried out with up to ten components.
[ top ]
6. TYPICAL RUNNING TIME
Typical spectra take 5 to 15 seconds of CPU time for 150 peaks. The sample problem executed by NESC on a CDC CYBER175 took less than 80 CPU seconds, including compilation time.
Typical spectra take 5 to 15 seconds of CPU time for 150 peaks. The sample problem executed by NESC on a CDC CYBER175 took less than 80 CPU seconds, including compilation time.
NESC0605/02
NEA-DB compiled the source programs of this package on a CDC CYBER 740 computer.[ top ]
[ top ]
8. RELATED AND AUXILIARY PROGRAMS
GAUSS7 supersedes GAUSS5. GAUSS7 assumes that the user has placed the spectra and efficiency and peak shape data on the computer system via other programs. GAUSS7S con- verts the spectral library from card-image to binary format for use by GAUSS7 and GAUSS7S. GAUSS6 (NESC Abstract 622) is used for ana- lysis of groups of spectra which require isotopic identification of the gamma rays and isotopic activity calculations from individual lines.
GAUSS7 supersedes GAUSS5. GAUSS7 assumes that the user has placed the spectra and efficiency and peak shape data on the computer system via other programs. GAUSS7S con- verts the spectral library from card-image to binary format for use by GAUSS7 and GAUSS7S. GAUSS6 (NESC Abstract 622) is used for ana- lysis of groups of spectra which require isotopic identification of the gamma rays and isotopic activity calculations from individual lines.
[ top ]
10. REFERENCES
- R.G. Helmer and C.M. McCullagh,
GAUSS VII, A Computer Program for the Analysis of Gamma-Ray
Spectra from Ge Semiconductor Spectrometers,
Nuclear Instruments and Methods, Vol.206, pp. 477-488, 1983.
- R.G. Helmer and C.M. McCullagh,
GAUSS VII, A Computer Program for the Analysis of Gamma-Ray
Spectra from Ge Semiconductor Spectrometers,
Nuclear Instruments and Methods, Vol.206, pp. 477-488, 1983.
NESC0605/02, included references:
- C.M. McCullagh and R.G. Helmer:GAUSS-7 - A Computer Program for the Analysis of Gamma-Ray Spectra
from Ge Semiconductor Spectrometers. EGG-PHYS-5890 (October 1982)
- R.G. Helmer and M.H. Putnam:
GAUSS V, A Computer Program for the Analysis of Gamma-Ray Spectra from
Ge(Li) Spectrometers, ANCR-1043 (January 1972)
- C.M. McCullagh and R.G. Helmer:
GAUSS VII, A Computer Program for the Analysis of Gamma-Ray Spectra
Spectra from Ge Semiconductor Spectrometers, Informal Report
EGG-PHYS-5890 (October 1982)
[ top ]
[ top ]
[ top ]
14. OTHER PROGRAMMING OR OPERATING INFORMATION OR RESTRICTIONS
The
program uses the FORTRAN multiple statement feature. For inter- polation of the detector efficiency function. Two spline routines, ICSEVU and ICSICU, from the proprietary IMSL library are used; these routines are not included with the material distributed.
The
program uses the FORTRAN multiple statement feature. For inter- polation of the detector efficiency function. Two spline routines, ICSEVU and ICSICU, from the proprietary IMSL library are used; these routines are not included with the material distributed.
[ top ]
[ top ]
NESC0605/02
| File name | File description | Records |
|---|---|---|
| NESC0605_02.001 | GAUSS7 information file | 56 |
| NESC0605_02.002 | GAUSS7 GGRCG FORTRAN source | 3478 |
| NESC0605_02.003 | GAUSS7 GAUSS7S FORTRAN source | 1821 |
| NESC0605_02.004 | GAUSS7 Special library file | 2487 |
| NESC0605_02.005 | GAUSS7 BINLIB library conversion | 21 |
| NESC0605_02.006 | GAUSS7 Detector Efficiency Table | 18 |
| NESC0605_02.007 | GAUSS7 Sample problem input 1 | 12 |
| NESC0605_02.008 | GAUSS7 Sample problem input 2 | 14 |
| NESC0605_02.009 | GAUSS7 Sample problem 1 output | 3479 |
| NESC0605_02.010 | GAUSS7S Sample problem 2 output | 2914 |
Keywords: Gauss function, Ge semiconductor detectors, gamma spectra, spectra unfolding, spectrometers.