Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

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](http://adsabs.harvard.edu/abs/2009MNRAS.397..558K). 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 (https://github.com/dwkim78/pdtrend)

Release History

Release History

This version
History Node

0.2.3

History Node

0.2.2

History Node

0.2

History Node

0.1

Download Files

Download Files

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

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pdtrend-0.2.3.tar.gz (3.5 MB) Copy SHA256 Checksum SHA256 Source Mar 14, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting