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The most relevant features of the peak shapes, described by bi-Gaussian functions, are parametrized in terms of field intensity and energy: this allows to correct the spectra measured in magnetic field and to recover the energy resolution almost completely.
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The unfolding parameters are parametrized in terms of one slow variable to follow the required path.
The path does not need to be horizontal, as long as it can be parametrized in terms of the slow variables.
The PM is parametrized in terms of a reference element, and a non-directed search of these parameters is carried out.
Moreover, instead of the current approach of using input-output behavior of individual agents, the model allows the behavior to be parametrized in terms of variables that represent aggregated behavior of large numbers of agents.
The resulting 2-D conduction problem is parametrized in terms of the Biot number Bi and the heat transfer coefficient distribution, expressed by the change in magnitude ρ and the peak gradient γ, as well as the proximity of the gradient region to a symmetry plane.
The matrix can instead be parametrized in terms of κ= α/ β which in this article will be set to 2 but can be estimated beforehand if an alternative value is appropriate.
The array geometry is parametrized in terms of two variables, v parallel and v perpendicular as described in the main text, with the triangular lattice being given by v∥= 1/2, v⊥= √3/2.
New binding partners may create competitive inhibition, steric exclusion or cooperativity, which could be parametrized in terms of a Gibbs free energy derived from a systematic characterization of possible complexes.
The probability mass functions are parametrized either as mixtures or exponential distributions, for which a natural gradient method is applied.
In[5], a heuristically defined distortion function was parametrized and then optimized to obtain the smallest detectability in terms of a margin between classes within a selected feature space (cover model).
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