Teareduce: a Python package with utilities for teaching reduction techniques in Astronomy

TL;DR

Teareduce is a Python package designed to facilitate teaching astronomical data reduction techniques through practical classes, providing instructional tools and demonstrations for students in astrophysics courses.

Contribution

It introduces a publicly available Python package with utilities specifically tailored for educational purposes in astronomical data processing.

Findings

Provides a comprehensive set of tools for teaching data reduction.

Includes Jupyter notebooks for practical demonstrations.

Enhances learning experience in astrophysics courses.

Abstract

The Python package teareduce has been developed to support teaching activities related to the reduction of astronomical data. Specifically, it serves as instructional material for students participating in practical classes on the processing of astronomical images acquired with various instruments and telescopes. These classes are part of the course Experimental Techniques in Astrophysics, which belongs to the Master's Degree in Astrophysics at the Complutense University of Madrid. The code is publicly available on GitHub, accompanied by a documentation page that includes Jupyter notebooks demonstrating the use of its various classes and functions.