TL;DR
This paper introduces a hierarchical Gaussian white noise field called Panphasia for setting phases in cosmological initial conditions, enabling consistent, scalable, and shareable simulations across multiple scales.
Contribution
The paper presents a novel hierarchical field with a public code for generating and sharing phase information for cosmological simulations, improving consistency and scalability.
Findings
Panphasia spans a factor of over 10^15 in scale.
The field enables consistent resimulation initial conditions.
Phases for major cosmological simulations are publicly released.
Abstract
We describe how to define an extremely large discrete realisation of a Gaussian white noise field that has a hierarchical structure and the property that the value of any part of the field can be computed quickly. Tiny subregions of such a field can be used to set the phase information for Gaussian initial conditions for individual cosmological simulations of structure formation. This approach has several attractive features: (i) the hierarchical structure based on an octree is particular well suited for generating follow up resimulation or zoom initial conditions; (ii) the phases are defined for all relevant physical scales in advance so that resimulation initial conditions are, by construction, consistent both with their parent simulation and with each other; (iii) the field can easily be made public by releasing a code to compute it - once public, phase information can be shared or…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
