teareduce 0.7.5

Utilities for astronomical data reduction

teareduce

Utilities for astronomical data reduction.

This package is not intended to be a general-purpose image reduction code. It only includes specific operations required in certain steps of the traditional astronomical image reduction process that, at the time of its creation, were not available in more established packages such as ccdproc. In addition, it also offers alternative ways to perform certain tasks that we have found to be more practical for use in Master’s level classes.

Documentation

The documentation for this package is available at this link. It includes Juypter notebooks that can be easily downloaded and demonstrate the practical use of the defined functionality.

Installing the code

In order to keep your Python installation clean, it is highly recommended to first build a specific Python 3 virtual enviroment

Creating and activating the Python virtual environment

$ python3 -m venv venv_teareduce
$ . venv_teareduce/bin/activate
(venv_teareduce) $ 

Installing the package

The latest stable version is available via de PyPI repository:

(venv_teareduce) $ pip install teareduce

Note: This command can also be employed in a Windows terminal opened through the CMD.exe prompt icon available in Anaconda Navigator.

The latest development version is available through GitHub:

(venv_teareduce) $ pip install git+https://github.com/nicocardiel/teareduce.git@main#egg=teareduce

If you are planning to use tea-cleanest, you need to install this package with extra dependencies. In this case employ:

(venv_teareduce) $ pip install 'teareduce[cleanest]'

In addition, in order to make use of the PyCosmic algorithm with tea-cleanest, you need to install that package. This can be done using:

(venv_teareduce) $ pip install git+https://github.com/nicocardiel/PyCosmic.git@test

Testing the installation

(venv_teareduce) $ pip show teareduce

(venv_teareduce) $ ipython
In [1]: import teareduce as tea
In [2]: print(tea.__version__)
0.6.7

Note that in PyPI there is a package called tea that provides utilities unrelated to teareduce. However, throughout the examples described in the documentation we are making use of import teareduce as tea to define a convenient alias.