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Table 1.

Parameters used for Gaussian process denoising.

Term Kernel Blue side Red side
ExpSine2 γ = 100 log P = 0.1 γ = 100 log P = 0.1
Noise *
ExpSquared c = 100 l = 2000 c = 10 l = 500

Matern32 c = 100 l = 105 c = 100 l = 105
Continuum +
Matern32 c = 20 l = 104 c = 20 l = 5000

Notes. The listed values correspond to the kernel input parameters defined by the GEORGE Python package. Specifically: γ represents the correlation or randomness parameter of the sinusoidal kernel; log P denotes the wavelength scale of the variation component; c is a scaling factor that multiplies the kernel amplitude; l is the characteristic length scale of the kernel, controlling the smoothness of the modeled function. For detailed definitions and kernel formulations, we refer the reader to the official documentation of the GEORGE package (https://george.readthedocs.io/en/latest/user/kernels/).

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