OGLE-2014-BLG-0962 (OB140962) is a stellar binary microlensing event that was well-covered by observations from the Spitzer satellite as well as ground-based surveys. Modelling yields a unique physical solution: a mid-M+M-dwarf binary with Mprim=0.20±0.01M⊙ and Msec=0.16±0.01M⊙, with projected separation of 2.0±0.3 AU. The lens is only DLS=0.41±0.06 kpc in front of the source, making OB140962 a bulge lens and the most distant Spitzer binary lens to date. In contrast, because the Einstein radius (θE=0.143±0.007 mas) is unusually small, a standard Bayesian analysis, conducted in the absence of parallax information, would predict a brown dwarf binary. We test the accuracy of Bayesian analysis over a set of Spitzer lenses, finding overall good agreement throughout the sample. We also illustrate the methodology for probing the Galactic distribution of planets by comparing the cumulative distance distribution of the Spitzer 2-body lenses to that of the Spitzer single lenses.
@article{arxiv.1805.09350,
title = {OGLE-2014-BLG-0962 and the First Statistical Validation of Bayesian Priors for Galactic Microlensing},
author = {Yutong Shan and Jennifer C. Yee and Andrzej Udalski and Ian A. Bond and Yossi Shvartzvald and In-Gu Shin and Youn-Kil Jung and Sebastiano Calchi Novati and Charles A. Beichman and Sean Carey and B. Scott Gaudi and Andrew Gould and Richard W. Pogge and Radosław Poleski and Jan Skowron and Szymon Kozłowski and Przemysław Mróz and Paweł Pietrukowicz and Michał K. Szymański and Igor Soszyński and Krzysztof Ulaczyk and Łukasz Wyrzykowski and Fumio Abe and Richard K. Barry and David P. Bennett and Aparna Bhattacharya and Martin Donachie and Akihiko Fukui and Yuki Hirao and Yoshitaka Itow and Kohei Kawasaki and Iona Kondo and Naoki Koshimoto and Man Cheung Alex Li and Yutaka Matsubara and Yasushi Muraki and Shota Miyazaki and Masayuki Nagakane and Clément Ranc and Nicholas J. Rattenbury and Haruno Suematsu and Denis J. Sullivan and Takahiro Sumi and Daisuke Suzuki and Paul J. Tristram and Atsunori Yonehara and Dan Maoz and Shai Kaspi and Matan Friedmann},
journal= {arXiv preprint arXiv:1805.09350},
year = {2018}
}