Microlensing of dark matter models in the Milky Way
Bichu Li, Chan-Yu Tang, Zhuo-Ran Huang, Lei-Hua Liu

TL;DR
This study analyzes how different dark matter halo models of the Milky Way influence microlensing constraints on primordial black holes as dark matter candidates, highlighting the importance of halo structure assumptions.
Contribution
It compares the effects of NFW, Einasto, and Burkert profiles on microlensing predictions and PBH abundance constraints, emphasizing the impact of halo modeling.
Findings
Neither Einasto nor Burkert profiles fully explain main-sequence star microlensing events.
Both profiles can account for ultrashort-timescale events with PBH masses around 10^{-5} solar masses.
Constraints on PBH dark matter are less strict under Burkert profiles compared to NFW.
Abstract
We investigate constraints on the abundance of primordial black holes (PBHs) as dark matter (DM) candidates using five years of microlensing data from the OGLE survey. While the majority of OGLE's microlensing events are well-explained by stellar populations such as brown dwarfs, main-sequence stars, and compact remnants, a subset of six ultrashort-timescale events () may signal the presence of PBHs. Building upon prior work that adopted the Navarro-Frenk-White (NFW) DM profile, we examine how alternative DM halo models -- specifically the Einasto and Burkert profiles, affect microlensing predictions and the constraints on PBH abundance. In light of kinematic data of Milky Way, we could obtain the range of () for both profiles. We computed differential microlensing event rates for both profiles, using the main-sequence…
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Taxonomy
TopicsDark Matter and Cosmic Phenomena · Astronomy and Astrophysical Research · Scientific Research and Discoveries
