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In our studies, we evaluate mainly two parameterizations of the CARA heuristic.
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There are mainly two reasons.
In the TeV energy region, which is relevant for our application, the two parameterizations are in agreement.
The answer is mainly two fold.
Under these two parameterizations, 72 81% of predicted target sites do not have a counterpart in an orthologous mRNA (Table 5).
These two parameterizations are equivalent since they are linearly related.
An identical fit is obtained by our default EMIM interaction (γ11 and γ22) parameterization (row 10), as expected from our previous discussion of these two parameterizations (see Methods).
Since there is no meaningful physical difference between these two parameterizations it is essential that each yield equivalent results.
Our simulations included a variety of demographic models and two parameterizations that differed in the timing of events (divergence or size change).
We simulated 100 replicate datasets per sample size under each model considered, for each of these two parameterizations (Tables 1 and 2).
The maximum difference in mean grain size is less than 80% between models using the two parameterizations of grain boundary sliding.
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