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Published February 10, 2024 | Published
Journal Article Open

Disruption of Dark Matter Minihalos in the Milky Way Environment: Implications for Axion Miniclusters and Early Matter Domination

  • 1. ROR icon California Institute of Technology

Abstract

Many theories of dark matter beyond the weakly interacting massive particles paradigm feature an enhanced matter power spectrum on subparsec scales, leading to the formation of dense dark matter minihalos. Future local observations are promising to search for and constrain such substructures. The survival probability of these dense minihalos in the Milky Way environment is crucial for interpreting local observations. In this work, we investigate two environmental effects: stellar disruption and (smooth) tidal disruption. These two mechanisms are studied using semianalytic models and idealized N-body simulations. For stellar disruption, we perform a series of N-body simulations of isolated minihalo–star encounters to test and calibrate analytic models of stellar encounters before applying the model to the realistic Milky Way disk environment. For tidal disruption, we perform N-body simulations to confirm the effectiveness of the analytic treatment. Finally, we propose a framework to combine the hierarchical assembly and infall of minihalos to the Milky Way with the late-time disruption mechanisms. We make predictions for the mass functions of minihalos in the Milky Way. The mass survival fraction (at Mmh ≥ 10−12M) of dense dark matter minihalos, e.g., for axion miniclusters and minihalos from early matter domination, is ∼60% with the relatively low-mass, compact population surviving. The survival fraction is insensitive to the detailed model parameters. We discuss various implications of the framework and future direct detection prospects.

Copyright and License

© 2024. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Acknowledgement

We thank Andrea Mitridate for useful discussions on the mass–concentration relation and Gabriel Aguiar for the collaboration in the early stages of this work. H.X. is supported in part by the United States Department of Energy (DOE) under grant No. DE-SC0011637. K.Z. is supported by a Simons Investigator award and the U.S. DOE, Office of Science, Office of High Energy Physics, under award No. DE-SC0011632. Support for X.S. and P.F.H. was provided by the National Science Foundation (NSF) Research grants 1911233, 20009234, 2108318, NSF CAREER grant 1455342, the National Aeronautics and Space Administration (NASA) grants 80NSSC18K0562, HST-AR-15800. Numerical calculations were run on the Caltech computing cluster "Wheeler," allocations AST21010 and AST20016 supported by the NSF and the Texas Advanced Computing Center (TACC), and NASA HEC SMD-16-7592. The simulation data of this work were generated and stored on the computing system "Wheeler" at California Institute of Technology. The code for the semianalytic model and the summary of simulation results are available at the project repository https://bitbucket.org/ShenXuejian/minicluster-disruption/src/master/. The raw data of the idealized simulations will be shared on reasonable request to the corresponding author.

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Additional details

Created:
February 6, 2024
Modified:
February 6, 2024