The PyKOALA python library: a multi-instrument package for IFS data reduction
The PyKOALA python library: a multi-instrument package for IFS data reduction
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.
Pablo Corcho-Caballero、Yago Ascasibar、Ángel R. López-Sánchez、Miguel González-Bolivar、Nuria P. F. Lorente、James Tocknell、Felipe Jiménez-Ibarra、Praveen Jayasuriya Daluwathumullagamage、Gabriella Quattropani、Matt Owers、Gijs A. Verdoes-Kleijn
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Pablo Corcho-Caballero,Yago Ascasibar,Ángel R. López-Sánchez,Miguel González-Bolivar,Nuria P. F. Lorente,James Tocknell,Felipe Jiménez-Ibarra,Praveen Jayasuriya Daluwathumullagamage,Gabriella Quattropani,Matt Owers,Gijs A. Verdoes-Kleijn.The PyKOALA python library: a multi-instrument package for IFS data reduction[EB/OL].(2025-07-24)[2025-08-10].https://arxiv.org/abs/2507.18347.点此复制
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