PyIRD: A Python-Based Data Reduction Pipeline for Subaru/IRD and REACH

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Authors: Yui Kasagi, Hajime Kawahara, Ziying Gu, Teruyuki Hirano, Takayuki Kotani, Kento Masuda, Masayuki Kuzuhara
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Abstract

PyIRD is an open-source Python pipeline for reducing high-dispersion spectroscopic data obtained with the IRD and REACH instruments on the Subaru Telescope. It processes raw detector images into calibrated one-dimensional spectra through a semi-automatic workflow, including readout noise subtraction, flat fielding, aperture extraction, wavelength calibration, and normalization. The design avoids dependencies on legacy tools such as IRAF, enabling reproducible and efficient data reduction for astronomical research. This release corresponds to a stable version of PyIRD intended for use in research workflows in stellar and exoplanet spectroscopy. This version reflects revisions and improvements made during the peer-review process for the Journal of Open Source Software (JOSS) and corresponds to the version submitted for publication.

Fields of Study & Subjects

Astronomy and Astrophysical Research Stellar planetary and galactic studies Adaptive optics and wavefront sensing

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 January 2026