Purpose: To model X‐ray coherent scatter diffraction patterns in GEANT4 for simulating experiments involving material detection through diffraction pattern measurement. Although coherent scatter cross‐sections are modeled accurately in GEANT4, diffraction patterns for crystalline materials are not yet included. Here we describe our modeling of crystalline diffraction patterns in GEANT4 for specific materials and the validation of the results against experimentally measured data. Methods: Coherent scatter in GEANT4 is currently based on Hubbell's non‐relativistic form factor tabulations from EPDL97. We modified the form‐factors by introducing an interference function that accounts for the angular dependence between the Rayleigh‐scattered photons and the photon wavelength. The modified form factors were used to replace the inherent form‐factors in GEANT4. The simulation was tested using monochromatic and polychromatic x‐ray beams (separately) incident on objects containing one or more elements with modified form‐factors. The simulation results were compared against the experimentally measured diffraction images of corresponding objects using an in‐house x‐ray diffraction imager for validation. The comparison was made using the following metrics: number of diffraction rings, radial distance, absolute intensity, and relative intensity. Results: Sharp diffraction pattern rings were observed in the monochromatic simulations at locations consistent with the angular dependence of the photon wavelength. In the polychromatic simulations, the diffraction patterns exhibited a radial blur consistent with the energy spread of the polychromatic spectrum. The simulated and experimentally measured patterns showed identical numbers of rings with close agreement in radial distance, absolute and relative intensities (barring statistical fluctuations). No significant change was observed in the execution time of the simulations. Conclusions: This work demonstrates the ability to model coherent scatter diffraction in GEANT4 in an accurate and efficient manner without compromising the accuracy or runtime of the simulation. This work was supported by the Department of Homeland Security under grant DHS (BAA 10‐01 F075), and by the Department of Defense under award W81XWH‐09‐1‐0066.
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging