Slepian models for Gaussian random landscapes
From MaRDI portal
Publication:779414
DOI10.1007/JHEP05(2020)142zbMath1437.85006arXiv1911.07618MaRDI QIDQ779414
Jose J. Blanco-Pillado, Mikel A. Urkiola, Kepa Sousa
Publication date: 21 July 2020
Published in: Journal of High Energy Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1911.07618
Relativistic cosmology (83F05) Applications of statistics to physics (62P35) White noise theory (60H40) Astrophysical cosmology (85A40)
Related Items (3)
Brane nucleation in supersymmetric models ⋮ The relation between wave asymmetry and particle orbits analysed by Slepian models ⋮ The distribution of vacua in random landscape potentials
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On Gaussian random supergravity
- Counting flux vacua
- Observational consequences of a landscape
- Supersymmetric vacua in random supergravity
- Inflation with a graceful exit in a random landscape
- The wasteland of random supergravities
- Local maxima of Gaussian fields
- Tunneling in theories with many fields
- BubbleProfiler: finding the field profile and action for cosmological phase transitions
- Making predictions in the multiverse
- Extrema and level crossings of χ2 processes
- Slepian Models and Regression Approximations in Crossing and Extreme Value Theory
- Slepian models for X2-processes with dependent components with application to envelope upcrossings
- Initial conditions for slow-roll inflation in a random Gaussian landscape
- Inflation in multi-field random Gaussian landscapes
- Manyfield inflation in random potentials
- A fresh look at the calculation of tunneling actions
- Local, algebraic simplifications of Gaussian random fields
- Efficient numerical solution to vacuum decay with many fields
- Inflation in random Gaussian landscapes
- Random Fields and Geometry
- A fresh look at the calculation of tunneling actions in multi-field potentials
This page was built for publication: Slepian models for Gaussian random landscapes