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Published June 2022 | Published + Accepted Version
Journal Article Open

Amplified J-factors in the Galactic Centre for velocity-dependent dark matter annihilation in FIRE simulations

Abstract

We use FIRE-2 zoom cosmological simulations of Milky Way size Galaxy haloes to calculate astrophysical J-factors for dark matter annihilation and indirect detection studies. In addition to velocity-independent (s-wave) annihilation cross-sections 〈σv〉, we also calculate effective J-factors for velocity-dependent models, where the annihilation cross-section is either p-wave (∝ v²/c²) or d-wave (∝ v⁴/c⁴). We use 12 pairs of simulations, each run with dark matter-only (DMO) physics and FIRE-2 physics. We observe FIRE runs produce central dark matter velocity dispersions that are systematically larger than in DMO runs by factors of ∼2.5–4. They also have a larger range of central (∼400 pc) dark matter densities than the DMO runs (ρ_(FIRE)/ρ_(DMO) ≃ 0.5–3) owing to the competing effects of baryonic contraction and feedback. At 3 deg from the Galactic Centre, FIRE J-factors are 3–60 (p-wave) and 10–500 (d-wave) times higher than in the DMO runs. The change in s-wave signal at 3 deg is more modest and can be higher or lower (∼0.3–7), though the shape of the emission profile is flatter (less peaked towards the Galactic Centre) and more circular on the sky in FIRE runs. Our results for s-wave are broadly consistent with the range of assumptions in most indirect detection studies. We observe p-wave J-factors that are significantly enhanced compared to most past estimates. We find that thermal models with p-wave annihilation may be within range of detection in the near future.

Additional Information

© 2022 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Accepted 2022 April 5. Received 2022 April 5; in original form 2021 November 5. We dedicate this paper to the memory of our dear friend and colleague José Antonio Florez Velázquez. We would like to thank Tyler Kelly for helpful suggestions and assistance in the analysis. We thank Kev Abazajian and Louis Strigari for useful discussions and we would like to thank the anonymous referee for their insightful suggestions that improved the quality of this work. This work made use of the FIRE Studio software package (Gurvich 2022). DM, JSB, and FJM were supported by NSF grant AST-1910346. ZH was supported by a Gary A. McCue postdoctoral fellowship at UC Irvine. PH was supported by NSF Research Grants 1911233 and20009234, NSF CAREER grant 1455342, NASA grants 80NSSC18K0562,HST-AR-15800.001-A. Numerical calculations were run on the Caltech compute cluster 'Wheeler,' allocations FTA-Hopkins/AST20016 supported by the NSF and TACC, and NASA HEC SMD-16-7592. AW received support from: NSF grants CAREER 2045928 and 2107772; NASA ATP grant 80NSSC20K0513; HST grants AR-15809 and GO-15902 from STScI; a Scialog Award from the Heising-Simons Foundation; and a Hellman Fellowship. MBK acknowledges support from NSF CAREER award AST-1752913, NSF grant AST-1910346, NASA grant NNX17AG29G, andHST-AR-15006, HST-AR-15809,HST-GO-15658,HST-GO-15901,HST-GO-15902,HST-AR-16159, andHST-GO-16226 from the Space Telescope Science Institute, which is operated by AURA, Inc., under NASA contract NAS5-26555. DATA AVAILABILITY. The data supporting the plots within this article are available on reasonable request to the corresponding author. A public version of the GIZMO code is available at http://www.tapir.caltech.edu/phopkins/Site/GIZMO.html.

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Additional details

Created:
August 22, 2023
Modified:
October 24, 2023