New Giant Planet beyond the Snow Line for an Extended MOA Exoplanet Microlens Sample
Cl\'ement Ranc, David P. Bennett, Richard K. Barry, Naoki Koshimoto,, Jan Skowron, Yuki Hirao, Ian A. Bond, Takahiro Sumi, Lars Bathe-Peters, Fumio, Abe, Aparna Bhattacharya, Martin Donachie, Hirosane Fujii, Akihiko Fukui,, Stela Ishitani Silva, Yoshitaka Itow, Rintaro Kirikawa

TL;DR
This paper reports the discovery of a giant planet beyond the snow line through microlensing, using Bayesian analysis to estimate its properties despite weak constraints, contributing to understanding planet occurrence rates.
Contribution
It introduces a systematic Bayesian approach to characterize weak microlensing signals and adds a new planet to the statistical sample for cold planet demography.
Findings
Detected a 1.9 Jupiter-mass planet orbiting a low-mass star.
Most likely located in the Galactic bulge at 7.2 kpc.
Provides data for future statistical analysis of cold planets.
Abstract
Characterizing a planet detected by microlensing is hard if the planetary signal is weak or the lens-source relative trajectory is far from caustics. However, statistical analyses of planet demography must include those planets to accurately determine occurrence rates. As part of a systematic modeling effort in the context of a -year retrospective analysis of MOA's survey observations to build an extended MOA statistical sample, we analyze the light curve of the planetary microlensing event MOA-2014-BLG-472. This event provides weak constraints on the physical parameters of the lens, as a result of a planetary anomaly occurring at low magnification in the light curve. We use a Bayesian analysis to estimate the properties of the planet, based on a refined Galactic model and the assumption that all Milky Way's stars have an equal planet-hosting probability. We find that a lens…
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