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Figure 2
(a) Reduced error surface Mathematical equation showing that the minimum-error locus (red line) bends toward smaller normalized bin width Mathematical equation as the degree of smoothing increases (smaller ρ). The FD rule serves as a boundary separating distinct behaviors in the GP-smoothed results. (b) and (c) Cross-sections of the surface at fixed Mathematical equation and Mathematical equation, respectively. When the bin width is smaller than the FD optimum, a well-defined minimum below the nominal FD result emerges for an appropriate kernel length, marked by the black circle in (b). For larger bins, additional smoothing no longer improves accuracy, as the aliasing and curvature terms dominate, as shown in panel (c).

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