Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

Photometric Detrending Algorithm

Project description

PDT (Photometric DeTrending Algorithm Using Machine Learning) aims to remove systematic trends in the light curves. For details about the algorithm, see [Kim et al. 2009]( In brief, PDT finds clusters of light curves that are highly correlated using machine learning, construct one master trend per cluster and detrend an individual light curve using the constructed master trends by minimizing residuals while constraining coefficients to be positive. For details, visit the GitHub repository (

Project details

Release history Release notifications

This version
History Node


History Node


History Node


History Node


Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
pdtrend-0.2.3.tar.gz (3.5 MB) Copy SHA256 hash SHA256 Source None Mar 14, 2017

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page