Speaker
Description
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.
This package is not intended as a general-purpose image reduction tool. Rather, it includes a set of specific operations needed for certain steps in the traditional astronomical image reduction workflow. At the time of its creation, these features were not available in more established packages such as ccdproc. The package also introduces alternative approaches to some tasks, which have proven to be more practical for use in Master’s-level instruction.
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.
| Affiliation of the submitter | Universidad Complutense de Madrid |
|---|---|
| Attendance | in-person |
