4 citations · 11 across the 11 of their papers we have counts for
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A Bayesian Inference Framework for Binary Lens Events Fully Incorporating Higher-Order Effects
Kansuke Nunota, Kento Masuda
Higher-order effects, such as microlensing parallax and lens orbital motion, are essential for characterizing the physical properties of microlensing planetary systems including th…
On the Reparameterization Between Cartesian Position-Velocity Vectors and Orbital Elements in the Kepler Problem
Kento Masuda, Kansuke Nunota
Reparameterization from the standard set of orbital elements to Cartesian position-velocity vectors can be computationally advantageous for orbit inference problems, particularly w…
Bayesian Doppler Imaging: Simultaneous Inference of Surface Maps and Geometric Parameters
Yamato Ureshino, Hajime Kawahara, Hibiki Yama +1
We present a fully Bayesian, pixel-based Doppler imaging framework that enables the simultaneous inference of surface brightness maps and geometric parameters, including the inclin…
PyIRD: A Python-Based Data Reduction Pipeline for Subaru/IRD and REACH
Yui Kasagi, Hajime Kawahara, Ziying Gu +4
PyIRD is a Python-based pipeline for reducing spectroscopic data obtained with IRD (InfraRed Doppler; Kotani et al. (2018)) and REACH (Rigorous Exoplanetary Atmosphere Characteriza…