Model Comparison - Interactive Demo

Interactive Model Comparison

Feature Size (nm) 50 nm

Wavelength (nm) 193 nm

Numerical Aperture 0.85

Monte Carlo Particles 100,000

Comparison Metric

Validation Method

MC Accuracy (%)

DG Accuracy (%)

MC Speed (s)

DG Speed (s)

Monte Carlo Model

Particle-based simulation with statistical sampling

Pros:
• High accuracy for complex geometries
• Handles arbitrary shapes
• Statistical uncertainty quantification
• Physically realistic

Cons:
• Computationally expensive
• Requires many particles
• Statistical noise
• Longer simulation time

Double Gaussian Model

Analytical PSF with FFT convolution

Pros:
• Very fast computation
• Deterministic results
• Low memory usage
• Easy to implement

Cons:
• Limited to simple geometries
• Approximate solution
• Less physically accurate
• Fixed PSF shape

Metric	Monte Carlo	Double Gaussian	Winner
Accuracy	--	--	--
Speed	--	--	--
Memory Usage	--	--	--
Precision	--	--	--