Skip to main content

A python package to interpret multiwavelength astronomical timeseries with GPs

Project description

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).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pgmuvi-0.1.0rc4.tar.gz (423.7 kB view hashes)

Uploaded Source

Built Distribution

pgmuvi-0.1.0rc4-py3-none-any.whl (41.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page