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

TL;DR

PyIRD is an open-source Python pipeline that simplifies and enhances the reduction of spectroscopic data from Subaru/IRD and REACH, removing the need for IRAF and improving faint target spectra extraction.

Contribution

It introduces a Python-based, semi-automatic data reduction pipeline that replaces IRAF, with improved noise removal for faint targets.

Findings

Efficient extraction of spectra from faint objects like brown dwarfs.

Elimination of IRAF dependence in data reduction workflow.

Open-source availability facilitates broader adoption.

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; 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. The code is open source and available at https://github.com/prvjapan/pyird .