Abstract
The RATS (RA wastes Tomography Simulation) computer code for the simulation of industrial tomography (with radioactive source) of low and medium level waste packages is described. This code allows the optimization of source activity and analysis time versus the accuracy of the tomographic reconstruction of a user made phantom. Further more, a comparative study of various sources of inaccuracy such as finite values for beam width, radioactive decay statistics, and the effect of choosing particular values of mathematical parameters of image reconstruction methodologies, is also allowed. Single pencil beam as well as fan beam geometries may be simulated. Image reconstruction routines, for both geometries, are implemented within the code. Reconstructed tomograms are displayed on the computer screen by a chromatic code of the absorption coefficient.
Citation Formats
Dionisi, M, Zeppa, P, Quintavalli, P, and Remetti, R.
Cemented medium and low level waste matrix tomography: RATS simulation code; RATS: Codice di simulazione per la tomografia di matrici cementizie inglobanti residui radioattivi a media e bassa attivita`.
Italy: N. p.,
1992.
Web.
Dionisi, M, Zeppa, P, Quintavalli, P, & Remetti, R.
Cemented medium and low level waste matrix tomography: RATS simulation code; RATS: Codice di simulazione per la tomografia di matrici cementizie inglobanti residui radioattivi a media e bassa attivita`.
Italy.
Dionisi, M, Zeppa, P, Quintavalli, P, and Remetti, R.
1992.
"Cemented medium and low level waste matrix tomography: RATS simulation code; RATS: Codice di simulazione per la tomografia di matrici cementizie inglobanti residui radioattivi a media e bassa attivita`."
Italy.
@misc{etde_10128896,
title = {Cemented medium and low level waste matrix tomography: RATS simulation code; RATS: Codice di simulazione per la tomografia di matrici cementizie inglobanti residui radioattivi a media e bassa attivita`}
author = {Dionisi, M, Zeppa, P, Quintavalli, P, and Remetti, R}
abstractNote = {The RATS (RA wastes Tomography Simulation) computer code for the simulation of industrial tomography (with radioactive source) of low and medium level waste packages is described. This code allows the optimization of source activity and analysis time versus the accuracy of the tomographic reconstruction of a user made phantom. Further more, a comparative study of various sources of inaccuracy such as finite values for beam width, radioactive decay statistics, and the effect of choosing particular values of mathematical parameters of image reconstruction methodologies, is also allowed. Single pencil beam as well as fan beam geometries may be simulated. Image reconstruction routines, for both geometries, are implemented within the code. Reconstructed tomograms are displayed on the computer screen by a chromatic code of the absorption coefficient.}
place = {Italy}
year = {1992}
month = {Dec}
}
title = {Cemented medium and low level waste matrix tomography: RATS simulation code; RATS: Codice di simulazione per la tomografia di matrici cementizie inglobanti residui radioattivi a media e bassa attivita`}
author = {Dionisi, M, Zeppa, P, Quintavalli, P, and Remetti, R}
abstractNote = {The RATS (RA wastes Tomography Simulation) computer code for the simulation of industrial tomography (with radioactive source) of low and medium level waste packages is described. This code allows the optimization of source activity and analysis time versus the accuracy of the tomographic reconstruction of a user made phantom. Further more, a comparative study of various sources of inaccuracy such as finite values for beam width, radioactive decay statistics, and the effect of choosing particular values of mathematical parameters of image reconstruction methodologies, is also allowed. Single pencil beam as well as fan beam geometries may be simulated. Image reconstruction routines, for both geometries, are implemented within the code. Reconstructed tomograms are displayed on the computer screen by a chromatic code of the absorption coefficient.}
place = {Italy}
year = {1992}
month = {Dec}
}