SIMBAD references

2020AJ....159..268K - Astron. J., 159, 268-268 (2020/June-0)

Bayesian approach for determining microlens system properties with high-angular-resolution follow-up imaging.

KOSHIMOTO N., BENNETT D.P. and SUZUKI D.

Abstract (from CDS):

We present the details of the Bayesian analysis of the planetary microlensing event MOA-2016-BLG-227, whose excess flux is likely due to a source/lens companion or an unrelated ambient star, as well as of the assumed prior distributions. Furthermore, we apply this method to four reported planetary events, MOA-2008-BLG-310, MOA-2011-BLG-293, OGLE-2012-BLG-0527, and OGLE-2012-BLG-0950, where adaptive optics observations have detected excess flux at the source star positions. For events with small angular Einstein radii, our lens mass estimates are more uncertain than those of previous analyses, which assumed that the excess was due to the lens. Our predictions for MOA-2008-BLG-310 and OGLE-2012-BLG-0950 are consistent with recent results on these events obtained via Keck and Hubble Space Telescope observations when the source star is resolvable from the lens star. For events with small angular Einstein radii, we find that it is generally difficult to conclude whether the excess flux comes from the host star. Therefore, it is necessary to identify the lens star by measuring its proper motion relative to the source star to determine whether the excess flux comes from the lens star. Even without such measurements, our method can be used to statistically test the dependence of the planet-hosting probability on the stellar mass.

Abstract Copyright: © 2020. The American Astronomical Society. All rights reserved.

Journal keyword(s): Gravitational microlensing exoplanet detection - Exoplanet detection methods - Gravitational microlensing - High-resolution microlensing event imaging

CDS comments: In abstract, OGLE-2012-BLG-0527 is a probable misprint for OGLE-2012-BLG-0563.

Simbad objects: 12

goto Full paper

goto View the references in ADS

To bookmark this query, right click on this link: simbad:2020AJ....159..268K and select 'bookmark this link' or equivalent in the popup menu