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2

Learning objectives

1. Understand the basic principles of the point

kernel superposition/convolution/collapse cone

family of dose engine models

2. Understand the expected performance of point

kernel models versus MC, pencil kernel and grid

based models in terms of speed versus accuracy

for different clinical situations

3. Contribute to the understanding of the different

roles in modern TPS of dose engines versus

fluence engines