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Some initial properties of the entrance beam have been checked by benchmarking simulations with experimental data.
To visualize the performance of the different algorithms, we performed a number of benchmarking simulations spanning a range of sample thicknesses, sizes, and with varying degrees of sampling.
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In addition, massive computational works involved in the design process necessitate high-fidelity experimental data sets for benchmarking simulation results.
These machines have also been a convenient tested for benchmarking simulation codes such as WARP, and for development of several novel diagnostic techniques.
To assess the extent to which changes in mechanisms will be accurately reflected in changes in model parameters, we performed a benchmarking simulation.
For the benchmark simulations this results in effectively (5text000pm10% ) time steps.
For both cases the computed results are in excellent agreement with benchmark simulations and experimental measurements.
We validate the code using benchmark simulations documented in the literature.
Our benchmark simulations show that the proposed methods significantly improve the CMLP scheme.
We also present some results obtained from a complete benchmark simulations.
Benchmark simulations show that featural biasing also improves performance on large-scale examples.
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