EPIC Variability Extraction and Removal for Exoplanet Science Targets
Project description
EPIC Variability Extraction and Removal for Exoplanet Science Targets: A pipeline for de-trending K2, Kepler, and TESS light curves with pixel level decorrelation and Gaussian processes. The Python interface allows easy access to the online EVEREST de-trended light curve catalog; alternatively, users can de-trend their own light curves with customized settings. Read the documentation at https://github.com/rodluger/everest
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
everest-pipeline-2.0.6.tar.gz
(12.5 MB
view details)
Built Distribution
File details
Details for the file everest-pipeline-2.0.6.tar.gz
.
File metadata
- Download URL: everest-pipeline-2.0.6.tar.gz
- Upload date:
- Size: 12.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3e0594b437d0c916f604db41a00a4d7241e02f43bf5c769ba63ce69ebbca5c39 |
|
MD5 | c3fd196b368c118039ed34cb2c551519 |
|
BLAKE2b-256 | 94b8482dcb47aa945656501e4ffd6927f3725b8e16cae36ff4564f4b253b2cc8 |
File details
Details for the file everest_pipeline-2.0.6-py2.py3-none-any.whl
.
File metadata
- Download URL: everest_pipeline-2.0.6-py2.py3-none-any.whl
- Upload date:
- Size: 12.9 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b484922f4209185ba817255fe1529d9de9662b7d697c93989dc0ab4988ef6937 |
|
MD5 | 227c9cc2b9ba8de6af8491c2fb93a099 |
|
BLAKE2b-256 | 979aed7853c0fb18fc95e4813110f3e1792b26a5f76186a7cf3a23fc31498da5 |