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Multiscale Gaussian Random Fields and Their Application to Cosmological Simulations
Open accessAbstract
This paper describes the generation of initial conditions for numerical simulations in cosmology with multiple levels of resolution, or multiscale simulations. We present the theory of adaptive mesh refinement of Gaussian random fields followed by the implementation and testing of a computer code package performing this refinement called GRAFIC2. This package is available to the computational cosmology community at http://arcturus.mit.edu/grafic/ or by email from the author.
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Citations
Cited by
Dutton, A. A., & Macciò, A. V. (2014) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stu742 · Cited by 958
Multi-scale initial conditions for cosmological simulations
Hahn, O., & Abel, T. (2011) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2011.18820.x · Cited by 834
Transients from initial conditions in cosmological simulations
Crocce, M., Pueblas, S., & Scoccimarro, R. (2006) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2006.11040.x · Cited by 657
Properties of dark matter haloes in clusters, filaments, sheets and voids
Hahn, O., Porciani, C., Carollo, C. M., & Dekel, A. (2007) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2006.11318.x · Cited by 508
Angulo, R. E., Springel, V., White, S. D. M., Jenkins, A., Baugh, C. M., & Frenk, C. S. (2012) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2012.21830.x · Cited by 490
Metadata
- Authors
- Bertschinger, E.
- Venue
- The Astrophysical Journal Supplement Series
- Publisher
- American Astronomical Society
- Published
- 2001-11
- Volume
- 137
- Issue
- 1
- Pages
- 1-20
- ISSN
- 0067-0049 (ISSN-L)
- 1538-4365
- OpenAlex
- W2016825074
- Cited by
- 368
- References
- 0
- FWCI
- 5.70
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
