IGRINS RV: A Precision RV Pipeline for IGRINS Using Modified Forward Modeling in the Near-Infrared
Asa G. Stahl (1), Shih-Yun Tang (2, 3), Christopher M. Johns-Krull, (1), L. Prato (2, 3), Joe Llama (2), Gregory N. Mace (4), Jae Joon Lee, (5), Heeyoung Oh (5), Jessica Luna (4), Daniel T. Jaffe (4) ((1) Department, of Physics, Astronomy, Rice University, (2) Lowell Observatory

TL;DR
This paper introduces an open-source pipeline for precise near-infrared radial velocity measurements using IGRINS, employing a modified forward modeling technique to achieve high accuracy without additional hardware.
Contribution
The paper presents a novel, hardware-free method for high-precision infrared RV measurements with IGRINS, utilizing nightly telluric templates and a modified forward modeling approach.
Findings
Achieved 26.8 m/s precision in K band and 31.1 m/s in H band.
Successfully detected planet-induced RV signals for HD 189733 and τ Boo A.
Confirmed the Rossiter-McLaughlin effect for HD 189733.
Abstract
Application of the radial velocity (RV) technique in the near infrared is valuable because of the diminished impact of stellar activity at longer wavelengths, making it particularly advantageous for the study of late-type stars but also for solar-type objects. In this paper, we present the IGRINS RV open source python pipeline for computing infrared RV measurements from reduced spectra taken with IGRINS, a R ~ 45,000 spectrograph with simultaneous coverage of the H band (1.49--1.80 m) and K band (1.96--2.46 m). Using a modified forward modeling technique, we construct high resolution telluric templates from A0 standard observations on a nightly basis to provide a source of common-path wavelength calibration while mitigating the need to mask or correct for telluric absorption. Telluric standard observations are also used to model the variations in instrumental resolution across…
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