A python package to interpret multiwavelength astronomical timeseries with GPs
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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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