Monte Carlo study of X-ray grazing incidence microscopy using Geant4

Area of Science:

• Physics
• Optics
• Materials Science

Background:

• X-ray grazing incidence microscopy is crucial for laser inertial confinement fusion and synchrotron radiation research.
• Monte Carlo methods are valuable for predicting optical performance and experimental outcomes in X-ray microscopy.

Purpose of the Study:

• To develop and validate a Geant4-based Monte Carlo method for X-ray grazing incidence microscopy.
• To design and characterize a dual-energy Kirkpatrick-Baez microscope for simultaneous operation at 6.4 and 9.67 keV.

Main Methods:

• Implementation of the G4MultilayerReflection class in Geant4 to simulate X-ray multilayer mirror interactions.
• Design of a dual-energy Kirkpatrick-Baez microscope.
• Monte Carlo simulations using Geant4 to assess spatial resolution and throughput efficiency.
• Experimental assembly and characterization of the microscope.

Main Results:

• Geant4 simulations demonstrated good agreement with theoretical models and experimental results for spatial resolution.
• Throughput efficiency calibration experiments for the 6.4 keV channel showed root mean square errors of 8.7% (Y-axis) and 9.5% (Z-axis) between experimental and simulated values.

Conclusions:

• The proposed Geant4 Monte Carlo method accurately predicts the performance of X-ray grazing incidence microscopes.
• The developed dual-energy microscope and simulation framework are significant for advancing physical experiments and diagnostics in relevant fields.