Numerical and Perturbative Computations of the Fuzzy Dark Matter Model
Xinyu Li, Lam Hui, Greg L. Bryan

TL;DR
This paper compares numerical and perturbative methods for modeling fuzzy dark matter, highlighting their strengths and limitations, and validates the models against Lyman-alpha forest data at high redshift.
Contribution
It provides a comprehensive comparison of Schrödinger-Poisson and fluid solvers, and develops perturbative calculations for the FDM power spectrum, enhancing understanding of nonlinear structure formation.
Findings
Schrödinger-Poisson solver accurately captures nonlinear dynamics.
Fluid solver fails in destructive interference regimes.
Perturbation theory agrees with simulations in mildly nonlinear regime.
Abstract
We investigate nonlinear structure formation in the fuzzy dark matter (FDM) model using both numerical and perturbative techniques. On the numerical side, we examine the virtues and limitations of a Schrodinger-Poisson solver (wave formulation) versus a fluid dynamics solver (Madelung formulation). We also carry out a perturbative computation of the one-loop mass power spectrum. We find that (1) in many cases, the fluid dynamics solver is capable of producing the expected interference patterns, but it fails where destructive interference causes the density to vanish which generally occurs in the nonlinear regime. (2) The Schrodinger-Poisson solver works well in all test cases, but it is demanding in resolution: one must resolve the small de Broglie scale to obtain the correct dynamics on large scales. (3) We compare the mass power spectrum from perturbation theory against that from the…
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.
