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-2.0.2.tar.gz
(37.2 MB
view details)
Built Distribution
File details
Details for the file everest-pipeline-2.0.2.tar.gz
.
File metadata
- Download URL: everest-pipeline-2.0.2.tar.gz
- Upload date:
- Size: 37.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3ec8a5ca14e6e88d51001b8e4a7575d10389d49a50d1a178add3c0b92cbb5002 |
|
MD5 | e3325329196e3c95ee7106ee37f1dcf0 |
|
BLAKE2b-256 | 355dd1472e39d1e467f51fc5133d857d443466391b8ed5305fbbaf32cae36e44 |
File details
Details for the file everest_pipeline-2.0.2-py2.py3-none-any.whl
.
File metadata
- Download URL: everest_pipeline-2.0.2-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 | bc0e4f0e5db7045c4722172e5ff2c07df72b0c25b75b4e60a32b5ee8cf381c93 |
|
MD5 | 9bf55b50b1961ac91fb077bfcaf415c6 |
|
BLAKE2b-256 | 72bba7580ef16de658b7b53f2be165427fc8def2af0a2b93b28d95c6cfdd22b5 |