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Star formation in the multiverse

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 06 Mar 2009Embargo end date: 01 Jan 2008 English Publisher:American Physical Society (APS)Journal:Physical Review D, volume 79 (issn: 1550-7998, eissn: 1550-2368,

Authors: Raphael Bousso; Stefan Leichenauer;

doi: 10.1103/physrevd.79.063506 , 10.48550/arxiv.0810.3044

arXiv: http://arxiv.org/abs/0810.3044

Star formation in the multiverse

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Abstract

We develop a simple semi-analytic model of the star formation rate (SFR) as a function of time. We estimate the SFR for a wide range of values of the cosmological constant, spatial curvature, and primordial density contrast. Our model can predict such parameters in the multiverse, if the underlying theory landscape and the cosmological measure are known.

26 pages, 11 figures. For Mathematica notebook, go to http://panic.berkeley.edu/~sleichen/ComputeSFR.nb

Related Organizations

University of California, Berkeley
United States
Lawrence Berkeley National Laboratory
United States
Department of Physics University of California San Diego
United States

Keywords

High Energy Physics - Theory, High Energy Physics - Phenomenology, High Energy Physics - Phenomenology (hep-ph), High Energy Physics - Theory (hep-th), Astrophysics (astro-ph), FOS: Physical sciences, General Relativity and Quantum Cosmology (gr-qc), Astrophysics, General Relativity and Quantum Cosmology

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	20
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%