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22 - Testing the Multiverse: Bayes, Fine-Tuning and Typicality

from Part V - Methodological and Philosophical Issues

Published online by Cambridge University Press:  18 April 2017

Luke A. Barnes
Affiliation:
Sydney Institute for Astronomy, University of Sydney, Australia
Khalil Chamcham
Affiliation:
University of Oxford
Joseph Silk
Affiliation:
University of Oxford
John D. Barrow
Affiliation:
University of Cambridge
Simon Saunders
Affiliation:
University of Oxford
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Summary

Introduction

Theory testing in the physical sciences has been revolutionized in recent decades by Bayesian approaches to probability theory. Here, I will consider Bayesian approaches to theory extensions, that is, theories like inflation which aim to provide a deeper explanation for some aspect of our models (in this case, the standard model of cosmology) that seem unnatural or fine tuned. In particular, I will consider how cosmologists can test the multiverse using observations of this universe.

Cosmologists will only ever get one horizon-full of data. Our telescopes will see so far, and no further. At any particular time, particle accelerators reach to a finite energy scale and no higher. And yet, it would be an unnatural constraint on our theories for them to fall silent beyond the edge of the observable universe and above a certain energy. Natural, simple theories need not confine themselves to the observable. How do we speculate beyond current data?

In particular, how do we evaluate (what I will call) theory extensions? That is, physical

theories whose main attraction is that they provide a deeper, more natural understanding of some effective theory. For example, the appeal of cosmic inflation is its natural explanation of some of the “initial conditions” of the standard model of cosmology. The postulates of the standard model – a homogeneous and isotropic Robertson–Walker (RW) spacetime, a set of energy components and their densities (matter, radiation and a cosmological constant), and an initial set of adiabatic, Gaussian density and tensor perturbations – can explain all (or almost all) the cosmological data at our disposal: the expansion of the universe, big bang nucleosynthesis, the angular power spectrum of the cosmic microwave background (CMB), the galaxy and Lyman alpha forest power spectra, the baryon acoustic oscillation (BAO) scale, the luminosity distance-redshift relation of type Ia supernovae, and more.

So, why not simply declare cosmology to be finished? We have a model that explains all the data. Consider the following kind of reason for extending our cosmological theory. In the standard model of cosmology, photons in the CMB that are separated in the sky by more than∼1 degree were scattered by patches of gas that have never been in causal contact with each other. And yet the entire CMB is at the same temperature, to one part in 100,000.

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Publisher: Cambridge University Press
Print publication year: 2017

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References

Adams, F. C. (2008) Stars in other universes: stellar structure with different fundamental constants. Journal of Cosmology and Astroparticle Physics. 8, 010.Google Scholar
Barnes, L. A. (2012) The Fine-Tuning of the Universe for Intelligent Life. Publications of the Astronomical Society of Australia. 29, 529.Google Scholar
Barr, S. M. and Khan, A. (2007) Anthropic tuning of the weak scale and of mu/md in two-Higgs-doublet models. Physical Review D. 76, 045002.Google Scholar
Boddy, K. K., Carroll, S. M. and Pollack, J. (2014) De Sitter Space Without Dynamical Quantum Fluctuations, arXiv:1405.0298.
Cameron, E., and Pettitt, T. (2012) On the Evidence for Cosmic Variation of the Fine Structure Constant (I): A Parametric Bayesian Model Selection Analysis of the Quasar Dataset. arXiv:1207.6223.
Caticha, A. (2009) Quantifying Rational Belief. AIP Conf. Proc.. 1193, 60.Google Scholar
Eddington, A. S. (1931) The End of the World: from the Standpoint of Mathematical Physics, Nature. 127, 3203.Google Scholar
Einstein, A. (1949) Autobiographical Notes. In Schilpp, P. A., ed. Albert Einstein, Philosopher-Scientist.. Illinois: Open Court Publishing Company.
Fisher, R. A. (1921) On the ‘Probable Error’ of a Coefficient of Correlation Deduced from a Small Sample. Metron. 1(332). 162, 164.Google Scholar
Glymour, C. (1980) Theory and Evidence.. Princeton: Princeton University Press.
Griffiths, D. (2008) Introduction to Elementary Particles. New York: John Wiley & Sons.
Hartle, J. B. and Srednicki, M. (2007) Are we typical?, Physical Review D. 75, 123523.Google Scholar
Hawking, S. W. (1988), A brief history of time. From the Big Bang to Black Holes.. Toronto: Bantam Books.
Jaynes, E. T. (2003) Probability Theory: The Logic of Science.. Cambridge, UK: Cambridge University Press.
King, J. A., Webb, J. K., Murphy, M. T., et al. (2012) Spatial variation in the fine-structure constant – new results from VLT/UVES. MNRAS. 422, 3370.Google Scholar
Kempthorne, O. and Folks, L. (1971) Probability, Statistics, and Data Analysis.. Ames, IA: The Iowa State University Press.
Kolmogorov, A. N. (1933) Translated as Foundations of Probability. New York: Chelsea Publishing Company (1950).
Leslie, J. (1989) Universes. London, New York: Routledge.
MacKay, D. J. C. (2003) Information Theory, Inference, and Learning Algorithms.. Cambridge: Cambridge University Press.
Neal, R. M. (2006) Puzzles of Anthropic Reasoning Resolved Using Full Non-indexical Conditioning. arXiv:math/0608592.
Olum, K. D. (2012) Is there any coherent measure for eternal inflation?, Physical Review D. 86, 063509.Google Scholar
Penrose, R. (2004) The Road to Reality: A Complete Guide to the Laws of the Universe.. London: Jonathan Cape.
Planck Collaboration, Ade, P. A. R., Aghanim, N., et al. (2015), arXiv:1502.01589.
Swinburne, R. (2004) The Existence of God.. Oxford: Oxford University Press.
Tegmark, M. and Rees, M. J. (1998) Why Is the Cosmic Microwave Background Fluctuation Level 10−5? The Astrophysical Journal. 499, 526.Google Scholar
Webb, J. K., King, J. A., Murphy, M. T., et al. (2011) Indications of a Spatial Variation of the Fine Structure Constant, Physical Review Letters. 107, 191101.Google Scholar
Weinberg, S. (1993) Dreams of a Final Theory.. London: Vintage.
Whitmore, J. B. and Murphy, M. T. (2015) Impact of instrumental systematic errors on fine-structure constant measurements with quasar spectra. MNRAS. 447, 446.Google Scholar

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