Updating the MACHO fraction of the Milky Way dark halo with improved mass models
Josh Calcino, Juan Garcia-Bellido, and Tamara M. Davis

TL;DR
This paper revises Milky Way dark matter halo models used in microlensing constraints, favoring a flexible power-law model over traditional semi-isothermal spheres, and explores how halo shape uncertainties affect MACHO dark matter limits.
Contribution
It introduces a more adaptable power-law halo model for microlensing analyses and assesses the impact of halo shape uncertainties on MACHO constraints.
Findings
Power-law model fits Milky Way rotation data better than semi-isothermal sphere.
Halo shape uncertainties weaken MACHO constraints around 10 M_sun.
Considering mass distribution and clustering shifts constraints to lower masses.
Abstract
Recent interest in primordial black holes as a possible dark matter candidate has motivated the reanalysis of previous methods for constraining massive astrophysical compact objects in the Milky Way halo and beyond. In order to derive these constraints, a model for the dark matter distribution around the Milky Way must be used. Previous microlensing searches have assumed a semi-isothermal density sphere for this task. We show this model is no longer consistent with data from the Milky Way rotation curve, and test two replacement models, namely NFW and power-law. The power-law model is the most flexible as it can break spherical symmetry, and best fits the data. Thus, we recommend the power-law model as a replacement, although it still lacks the flexibility to fully encapsulate all possible shapes of the Milky Way halo. We then use the power-law model to rederive some previous…
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