Axion Dark Matter from Cosmic String Network
Heejoo Kim, Junghyeon Park, Minho Son

TL;DR
This paper uses lattice simulations to estimate axion dark matter produced by cosmic strings, confirming logarithmic growth behaviors and analyzing how initial conditions and string properties influence axion abundance.
Contribution
It introduces a new string identification method and provides a detailed analysis of factors affecting axion dark matter production from cosmic strings.
Findings
Confirmed logarithmic growth in string number and axion spectrum index
Demonstrated insensitivity of scaling behaviors to initial conditions
Derived a lower bound on the axion mass
Abstract
We perform the lattice simulation to estimate the axion dark matter abundance radiated from the global cosmic strings in the post-inflationary scenario. The independent numerical confirmation on the recently observed logarithmic growth in both the number of strings per Hubble patch and the spectral index of the power law scaling for the axion spectrum is reported. These logarithmic scalings are checked against two different prescriptions for generating initial random field configurations, namely fat-string type and thermal phase transition. We discuss a possible strong correlation between the axion spectrum and the string evolutions with different initial conditions to support the insensitivity of scaling behaviors against different initial data and we provide a qualitative understanding of it. The impact of various combinations of the power law of the axion spectrum, nonlinearities…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDark Matter and Cosmic Phenomena · Cosmology and Gravitation Theories · Atomic and Subatomic Physics Research
