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, Masayuki Kuzuhara, Kento Masuda
Cited by: 0
References: 14

Abstract

PyIRD is a Python-based pipeline for reducing spectroscopic data obtained with IRD (InfraRed Doppler; Kotani et al. (2018)) and REACH (Rigorous Exoplanetary Atmosphere Characterization with High dispersion coronagraphy; Kotani et al. ( 2020)) on the Subaru Telescope.It is designed to process raw images into one-dimensional spectra in a semi-automatic manner.Unlike traditional methods, it does not rely on IRAF (Tody, 1986(Tody, , 1993)), a software used for astronomical data reduction.This approach simplifies the workflow while maintaining efficiency and accuracy.Additionally, the pipeline includes an updated method for removing readout noise patterns from raw images, enabling efficient extraction of spectra even for faint targets such as brown dwarfs.

Fields of Study & Subjects

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

Publication details

Journal / source
The Journal of Open Source Software
Volume
11
Issue
117
Pages
9126–9126
Publication date
17 January 2026