Skip to content

Package for applying Principal Component Analyses (PCA) Tomography in Integral Field Unit (IFU) data cubes.

License

Notifications You must be signed in to change notification settings

muryelgp/PCAtomography

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 

Repository files navigation

PCAtomography

The code is a python version of the algoritm for Principal Component Analyses (PCA) in Integral Field Unit (IFU) Spectrograph data cubes by Steiner et al. 2009 (https://arxiv.org/pdf/0901.2266). It is particularly usefull for 'Intrumental Fingerprint' removal, a proceding explored by Menezes et al. 2014 (https://arxiv.org/abs/1401.7078). The code is avalible at https://github.com/muryelgp/PCAtomography for download.

Installation

Use the package manager pip to install PCAtomography.

pip install git+https://github.com/muryelgp/PCAtomography.git

How to use the code

Basic fuctions and example of the code can be found in this jupyter notebook for details and more interesting examples.

About

Package for applying Principal Component Analyses (PCA) Tomography in Integral Field Unit (IFU) data cubes.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published