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
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file everest-pipeline-2.0.3.tar.gz.
File metadata
- Download URL: everest-pipeline-2.0.3.tar.gz
- Upload date:
- Size: 12.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b5b5847297b23be4ea1bbe314e8e215b0c88076de299b072a65f1defd064fecc
|
|
| MD5 |
be01da3be2e4fe91aabcd3f95ec34c61
|
|
| BLAKE2b-256 |
d72586444cf0e7f86837586841b1d0d50acdb7f6e2e2a4f1279f942eb307f42a
|
File details
Details for the file everest_pipeline-2.0.3-py2.py3-none-any.whl.
File metadata
- Download URL: everest_pipeline-2.0.3-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 |
31dcc65b11487bbafd6af4eab74bd71f3cf2163b49586f5af7a86d28baaeca27
|
|
| MD5 |
ce188eef6d2443076fcdf70d61d1973d
|
|
| BLAKE2b-256 |
7e2bc41058823eaaf74308025311f9475a43df390bed647077a5a8186bf2aeaf
|
