Landscape predictions from cosmological vacuum selection

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In Bousso-Polchinski models with hundreds of fluxes, we compute the effects of cosmological dynamics on the probability distribution of landscape vacua. Starting from generic initial conditions, we find that most fluxes are dynamically driven into a different and much narrower range of values than expected from landscape statistics alone. Hence, cosmological evolution will access only a tiny fraction of the vacua with small cosmological constant. This leads to a host of sharp predictions. Unlike other approaches to eternal inflation, the holographic measure employed here does not lead to staggering, an excessive spread of probabilities that would doom the string landscape ... continued below

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Bousso, Raphael; Bousso, Raphael & Yang, Sheng April 23, 2007.

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In Bousso-Polchinski models with hundreds of fluxes, we compute the effects of cosmological dynamics on the probability distribution of landscape vacua. Starting from generic initial conditions, we find that most fluxes are dynamically driven into a different and much narrower range of values than expected from landscape statistics alone. Hence, cosmological evolution will access only a tiny fraction of the vacua with small cosmological constant. This leads to a host of sharp predictions. Unlike other approaches to eternal inflation, the holographic measure employed here does not lead to staggering, an excessive spread of probabilities that would doom the string landscape as a solution to the cosmological constant problem.

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  • Journal Name: Physical Review D; Journal Volume: 75; Related Information: Journal Publication Date: 06/26/2007

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  • Report No.: LBNL-389E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 934678
  • Archival Resource Key: ark:/67531/metadc893822

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  • April 23, 2007

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  • Sept. 27, 2016, 1:39 a.m.

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  • Sept. 30, 2016, 6:38 p.m.

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Bousso, Raphael; Bousso, Raphael & Yang, Sheng. Landscape predictions from cosmological vacuum selection, article, April 23, 2007; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc893822/: accessed October 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.