PyIRD: A Python-Based Data Reduction Pipeline for Subaru/IRD and REACH
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arXiv
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| Format: | Preprint |
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2026
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| author | Kasagi, Yui Kawahara, Hajime Gu, Ziying Hirano, Teruyuki Kotani, Takayuki Kuzuhara, Masayuki Masuda, Kento |
| author_facet | Kasagi, Yui Kawahara, Hajime Gu, Ziying Hirano, Teruyuki Kotani, Takayuki Kuzuhara, Masayuki Masuda, Kento |
| contents | 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 . |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_12669 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | PyIRD: A Python-Based Data Reduction Pipeline for Subaru/IRD and REACH Kasagi, Yui Kawahara, Hajime Gu, Ziying Hirano, Teruyuki Kotani, Takayuki Kuzuhara, Masayuki Masuda, Kento Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics 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 . |
| title | PyIRD: A Python-Based Data Reduction Pipeline for Subaru/IRD and REACH |
| topic | Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics |
| url | https://arxiv.org/abs/2601.12669 |