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Tillack, Gerd-Rüdiger; Artemiev, V. M.; Naumov, A. O.

doi:10.1023/a:1014717325561

Cited by 2 publications

(1 citation statement)

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“…In this case the underlying physical mechanisms have to be treated as an X-ray or photon transport problem based on a Boltzmann type equation. There are several attempts known to solve this problem for X-ray NDE applications such as moment approximation methods [2,3], solution of the integral transport equation [4,5], and the Monte Carlo method [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Special Features in Radiography Accessed by 3D Monte Carlo Model

Tillack¹,

Bellon²

2003

AIP Conference Proceedings

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Standard radiography simulators are based on the attenuation law complemented by built-up-factors (BUF) to describe the interaction of radiation with material. The assumption of BUF implies that scattered radiation reduces only the contrast in radiographic images but does not image object structures itself. This simplification holds for a wide range of applications like weld inspection as known from practical experience. But only a detailed description of the different underlying interaction mechanisms is capable to explain effects like mottling or others that every radiographer has experienced in practice. The application of the N-Particle Monte Carlo code MCNP is capable to handle primary and secondary interaction mechanisms contributing to the image formation process like photon interactions (absorption, incoherent and coherent scattering including electron-binding effects, pair production) and electron interactions (electron tracing including X-Ray fluorescence and Bremsstrahlung production). Additionally it opens up possibilities like the separation of influencing factors and the understanding of the functioning of intensifying screen used in film radiography. The paper intends to discuss the opportunities in applying the Monte Carlo method to investigate special features in radiography in terms of selected examples. It is important to note that the use of Monte Carlo methods is a laboratory type of technique for basic investigations because of the enormous computing power that is needed. For in-field applications such as for inspection planing simplified models are of much greater importance and increasingly in use.

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Section: Introductionmentioning

confidence: 99%