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To speed up the simulation of collected Class I photons, we developed a novel importance sampling method for Monte Carlo simulations that bias the scattered photon packet direction u ^ ' preferentially towards the apparent position of the center tip of the collecting optical system v ^ once the photon packet reaches the depth range of interest.
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Methods to improve the signal detection efficiency and to reduce the rate of misidentified neutrinos have been devised and potential future large-scale detector designs are investigated using detailed simulations in combination with the wealth of collected experimental data.
The simulation results indicate that the proposed identifier is really capable of capturing the knowledge of collected database.
In order to do the so, we have run the simulation and collected data of all these variables and proportioned to decide the range.
At the end of the simulation all collected samples were tested for sterility according to Eu.Ph.2.6.1.
A performance database of simulation runs is collected over a targeted space of system configurations.
A combined total of >480 ns of simulation data was collected which allowed us to study the conformational changes that were not possible to observe in the previously reported short-time molecular dynamics simulations.
Two interim outcome measures of stated intention and behavioural simulation were collected at the same time as the predictor measures.
For example, simulation data collected through experimentation can inform the design of specific features.
For all of the remaining scenarios investigated, simulations were run for 50000 simulation time steps with the statistics for the simulation populations collected every 50 time steps.
Simulations of the growth of organisms containing forward or reverse polymerases in the absence of competition were run for 5000 simulation time steps with the statistics for the simulation populations collected every 5 time steps.
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