An isolated mass gap black hole or neutron star detected with astrometric microlensing
Casey Y. Lam, Jessica R. Lu, Andrzej Udalski, Ian Bond, David P., Bennett, Jan Skowron, Przemek Mroz, Radek Poleski, Takahiro Sumi, Michal K., Szymanski, Szymon Kozlowski, Pawel Pietrukowicz, Igor Soszynski, Krzysztof, Ulaczyk, Lukasz Wyrzykowski, Shota Miyazaki, Daisuke Suzuki

TL;DR
This paper reports the first definitive detection of a compact object, likely a neutron star or low-mass black hole, via astrometric microlensing, using combined Hubble and ground-based data to measure lens mass and luminosity.
Contribution
It presents the first clear case of a compact object identified through astrometric microlensing, demonstrating the method's potential for detecting isolated black holes and neutron stars.
Findings
One candidate shows a significant astrometric shift and little lens flux.
The lens mass is estimated between 1.6 and 4.4 solar masses.
Remaining candidates are unlikely to be black holes, possibly white dwarfs or neutron stars.
Abstract
We present the analysis of five black hole candidates identified from gravitational microlensing surveys. Hubble Space Telescope astrometric data and densely sampled lightcurves from ground-based microlensing surveys are fit with a single-source, single-lens microlensing model in order to measure the mass and luminosity of each lens and determine if it is a black hole. One of the five targets (OGLE-2011-BLG-0462/MOA-2011-BLG-191 or OB110462 for short) shows a significant mas coherent astrometric shift, little to no lens flux, and has an inferred lens mass of 1.6 - 4.4 . This makes OB110462 the first definitive discovery of a compact object through astrometric microlensing and it is most likely either a neutron star or a low-mass black hole. This compact object lens is relatively nearby (0.70-1.92 kpc) and has a slow transverse motion of 30 km/s. OB110462 shows…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
