Axion Mass Prediction from Adaptive Mesh Refinement Cosmological Lattice Simulations

The quantum chromodynamics (QCD) axion arises as the pseudo-Goldstone mode of a spontaneously broken Abelian Peccei-Quinn (PQ) symmetry. If the scale of PQ symmetry breaking occurs below the inflationary reheat temperature and the domain wall number is unity, then there is a unique axion mass that gives the observed dark matter (DM) abundance. Computing this mass has been the subject of intensive numerical simulations for decades since the mass prediction informs laboratory experiments. Axion strings develop below the PQ symmetry-breaking temperature, and as the string network evolves, it emits axions that go on to become the DM. A key ingredient in the axion mass prediction is the spectral index of axion radiation emitted by the axion strings. We compute this index in this Letter using the most precise and accurate large-scale simulations to date of the axion-string network leveraging adaptive mesh refinement to achieve the precision that would, otherwise, require a static lattice with 262,144^{3} lattice sites. We find a scale-invariant axion radiation spectrum to within 1% precision and find no evidence that the spectral index of radiation evolves with time. Accounting for axion production from strings prior to the QCD phase transition leads us to predict that the axion mass should be approximately m_{a}∈(45,65) μeV. However, we provide preliminary evidence that axions are produced in greater quantities from the string-domain-wall network collapse during the QCD phase transition, potentially increasing the mass prediction to as much as 300 μeV.

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Publication Details

Journal
Physical Review Letters
Published
2025-05-29
DOI
https://doi.org/10.1103/6v21-d6sj
Citations
19
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
35.53

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article

Axion Mass Prediction from Adaptive Mesh Refinement Cosmological Lattice Simulations

Joshua W. Foster, Malte Buschmann, Benjamin R. Safdi, Karl J. Friston
19 citations
Physical Review Letters
Dark Matter and Cosmic Phenomena
35.53
article

Axion Mass Prediction from Adaptive Mesh Refinement Cosmological Lattice Simulations

Joshua W. Foster, Malte Buschmann, Benjamin R. Safdi, Karl J. Friston
article en
19 citations

Abstract

The quantum chromodynamics (QCD) axion arises as the pseudo-Goldstone mode of a spontaneously broken Abelian Peccei-Quinn (PQ) symmetry. If the scale of PQ symmetry breaking occurs below the inflationary reheat temperature and the domain wall number is unity, then there is a unique axion mass that gives the observed dark matter (DM) abundance. Computing this mass has been the subject of intensive numerical simulations for decades since the mass prediction informs laboratory experiments. Axion strings develop below the PQ symmetry-breaking temperature, and as the string network evolves, it emits axions that go on to become the DM. A key ingredient in the axion mass prediction is the spectral index of axion radiation emitted by the axion strings. We compute this index in this Letter using the most precise and accurate large-scale simulations to date of the axion-string network leveraging adaptive mesh refinement to achieve the precision that would, otherwise, require a static lattice with 262,144^{3} lattice sites. We find a scale-invariant axion radiation spectrum to within 1% precision and find no evidence that the spectral index of radiation evolves with time. Accounting for axion production from strings prior to the QCD phase transition leads us to predict that the axion mass should be approximately m_{a}∈(45,65) μeV. However, we provide preliminary evidence that axions are produced in greater quantities from the string-domain-wall network collapse during the QCD phase transition, potentially increasing the mass prediction to as much as 300 μeV.

Physical Review LettersVol. 134(24)
Fermi National Accelerator Laboratory (US), Lawrence Berkeley National Laboratory (US), University of Chicago (US), University of Amsterdam (NL), University of California, Berkeley (US)
U.S. Department of Energy, National Energy Research Scientific Computing Center, Horizon 2020 Framework Programme, European Research Council, Lawrence Berkeley National Laboratory
Climate action
Openalex Percentile: Top 0%
Dark Matter and Cosmic Phenomena
35.53
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