Skip to main content

Research Repository

Advanced Search

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

Improved halo model calibrations for mixed dark matter models of ultralight axions Thumbnail


Authors

Tibor Dome

Simon May

Alex Laguë

David J.E. Marsh

Sarah Johnston sarah.c.johnston@durham.ac.uk
PGR Student Doctor of Philosophy

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

Files





You might also like



Downloadable Citations