Detecting Dark Compact Objects in Gaia DR4: A Data Analysis Pipeline for Transient Astrometric Lensing Searches
I-Kai Chen, Marius Kongsore, Ken Van Tilburg

TL;DR
This paper develops a data analysis pipeline for Gaia DR4 to detect transient astrometric lensing events caused by dark compact objects, aiming to identify black holes and constrain dark matter properties.
Contribution
The authors create a pipeline for analyzing Gaia DR4 data to detect lensing events and provide projections for black hole detection and dark matter constraints.
Findings
Approximately 4 black hole lensing events expected in Gaia DR4 at 5σ significance.
Pipeline can constrain dark matter fraction to about 1% in the 1-1000 solar mass range.
Mock catalog analysis demonstrates pipeline's effectiveness for future data.
Abstract
The Gaia satellite is cataloging the astrometric properties of an unprecedented number of stars in the Milky Way with extraordinary precision. This provides a gateway for conducting extensive surveys of transient astrometric lensing events caused by dark compact objects. In this work, we establish a data analysis pipeline capable of searching for such events in the upcoming Gaia Data Release 4 (DR4). We use Gaia Early Data Release 3 (EDR3) and current dark matter and astrophysical black hole population models to create mock DR4 catalogs containing stellar trajectories perturbed by lensing. Our analysis of these mock catalogs suggests that Gaia DR4 will contain about 4 astrometric lensing events from astrophysical black holes at a significance level. Furthermore, we project that our data analysis pipeline applied to Gaia DR4 will result in leading constraints on compact dark…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Gamma-ray bursts and supernovae · Astronomical Observations and Instrumentation
