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Python gaussian processes for inference on multi-wavelength light curves

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pgmuvi

Python gaussian processes for multiwavelength variability inference

pgmuvi is based on GPyTorch and intended for us in infering the properties of astronomical sources with multiwavelength variability. It uses spectral-mixture kernels to learn an approximation of the PSD of the variability, which have been shown to be very effective for pattern discovery (see https://arxiv.org/pdf/1302.4245.pdf).

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Python gaussian processes for inference on multi-wavelength light curves

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