Tibor Dome
Improved halo model calibrations for mixed dark matter models of ultralight axions
Dome, Tibor; May, Simon; Laguë, Alex; Marsh, David J.E.; Johnston, Sarah; Bose, Sownak; Tocher, Alex; Fialkov, Anastasia
Authors
Simon May
Alex Laguë
David J.E. Marsh
Sarah Johnston sarah.c.johnston@durham.ac.uk
PGR Student Doctor of Philosophy
Dr Sownak Bose sownak.bose@durham.ac.uk
UKRI Future Leaders Fellowship
Alex Tocher
Anastasia Fialkov
Abstract
We study the implications of relaxing the requirement for ultralight axions to account for all dark matter in the Universe by examining mixed dark matter (MDM) cosmologies with axion fractions f ≤ 0.3 within the fuzzy dark matter window 10−25 eV ≤ m ≤ 10−23 eV. Our simulations, using a new MDM gravity solver implemented in AXIREPO, capture wave dynamics across various scales with high accuracy down to redshifts z ≈ 1. We identify haloes with ROCKSTAR using the cold dark matter component and find good agreement of inferred halo mass functions and concentration–mass relations with theoretical models across redshifts z = 1–10. This justifies our halo finder approach a posteriori as well as the assumptions underlying the MDM halo model AXIONHMCODE. Using the inferred axion halo mass–cold halo mass relation Ma(Mc) and calibrating a generalized smoothing parameter α to our MDM simulations, we present a new version of AXIONHMCODE. The code exhibits excellent agreement with simulations on scales k < 20 hcMpc−1 at redshifts z = 1–3.5 for f ≤ 0.1 around the fiducial axion mass m = 10−24.5 eV = 3.16 × 10−25 eV, with maximum deviations remaining below 10 per cent. For axion fractions f ≤ 0.3, the model maintains accuracy with deviations under 20 per cent at redshifts z ≈ 1 and scales k < 10 hcMpc−1, though deviations can reach up to 30 per cent for higher redshifts when f = 0.3. Reducing the run-time for a single evaluation of AXIONHMCODE to below 1 min, these results highlight the potential of AXIONHMCODE to provide a robust framework for parameter sampling across MDM cosmologies in Bayesian constraint and forecast analyses.
Citation
Dome, T., May, S., Laguë, A., Marsh, D. J., Johnston, S., Bose, S., Tocher, A., & Fialkov, A. (2025). Improved halo model calibrations for mixed dark matter models of ultralight axions. Monthly Notices of the Royal Astronomical Society, 537(1), 252-271. https://doi.org/10.1093/mnras/staf005
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 24, 2024 |
Online Publication Date | Jan 6, 2025 |
Publication Date | Feb 1, 2025 |
Deposit Date | Apr 1, 2025 |
Publicly Available Date | Apr 1, 2025 |
Journal | Monthly Notices of the Royal Astronomical Society |
Print ISSN | 0035-8711 |
Electronic ISSN | 1365-2966 |
Publisher | Royal Astronomical Society |
Peer Reviewed | Peer Reviewed |
Volume | 537 |
Issue | 1 |
Pages | 252-271 |
DOI | https://doi.org/10.1093/mnras/staf005 |
Public URL | https://durham-repository.worktribe.com/output/3771792 |
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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