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Finally, let us note that the fDOT systems considered in this paper are simple examples chosen to illustrate the potentiality of a Cramer-Rao analysis as a performance index for a given setup and a given task.
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The resolution that can be achieved on a given sample with a given setup can for example be estimated by measuring the number of photons collected on a typical image of such sample.
As LSO and therefore also LYSO are known to depend on temperature [32], influence on the light yield was studied for the given setup.
Second is presented a mixed-integer linear programming formulation to generate a shared setup for a given set of parts if such a setup exists.
For a given camera setup and a selected metric, most of the estimation methods selected the same pair of filters.
The simulation determines the optimal pair of filters from among 265 filters for a given camera setup.
The simulated proposed system is then compared with the existing ones in the literature for a given cooling setup of Concentrating Photovoltaic (CPV).
The Monte-Carlo procedure can also be used to evaluate experimental test design to determine the expected amount of uncertainty for a given test setup.
From our study, we gain insights in both performance and energy consumption for each one of them under a number of experimental conditions, and conclude that the most appropriate architecture is usually a trade-off between performance and energy consumption for a given experimental setup and dataset.
The single-run involves only a single stochastic realization for a given configuration setup and a random seed.
For a given optimization setup (and estimation method), the solution takes about 2 min on a standard desktop computer.
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