Teareduce: a Python package with utilities for teaching reduction techniques in Astronomy
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.
Fields of Study & Subjects
Computational Physics and Python Applications
Astronomy and Astrophysical Research
Experimental Learning in Engineering
Publication details
- Journal / source
- arXiv (Cornell University)
- Publication date
- 28 January 2026