The PyKOALA python library: a multi-instrument package for IFS data reduction
Instrumentation and Methods for Astrophysics
2025-07-25 v1 Astrophysics of Galaxies
Abstract
PyKOALA is an innovative Python-based library designed to provide a robust and flexible framework for Integral Field Spectroscopy (IFS) data reduction. By addressing the complexities of transforming raw measurements into scientifically valuable spectra, PyKOALA simplifies the data reduction pipeline while remaining instrument-agnostic and user-friendly. This proceeding outlines the challenges of IFS data reduction, PyKOALA's architecture, and its applications to observations by the KOALA+AAOmega instruments at the Anglo-Australian Telescope.
Cite
@article{arxiv.2507.18347,
title = {The PyKOALA python library: a multi-instrument package for IFS data reduction},
author = {Pablo Corcho-Caballero and Yago Ascasibar and Ángel R. López-Sánchez and Miguel González-Bolivar and Nuria P. F. Lorente and James Tocknell and Felipe Jiménez-Ibarra and Praveen Jayasuriya Daluwathumullagamage and Gabriella Quattropani and Matt Owers and Gijs A. Verdoes-Kleijn},
journal= {arXiv preprint arXiv:2507.18347},
year = {2025}
}
Comments
ADASS 2024 proceedings, 4 pages, 2 figures. Repository: https://github.com/pykoala/pykoala