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Gaussian process cosmography

Arman Shafieloo1, Alex G. Kim2, and Eric V. Linder1,2,3

  • 1Institute for the Early Universe WCU, Ewha Womans University, Seoul, Korea
  • 2Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
  • 3University of California, Berkeley, California 94720, USA

Phys. Rev. D 85, 123530 – Published 19 June, 2012

DOI: https://doi.org/10.1103/PhysRevD.85.123530

Abstract

Gaussian processes provide a method for extracting cosmological information from observations without assuming a cosmological model. We carry out cosmography—mapping the time evolution of the cosmic expansion—in a model-independent manner using kinematic variables and a geometric probe of cosmology. Using the state of the art supernova distance data from the Union2.1 compilation, we constrain, without any assumptions about dark energy parametrization or matter density, the Hubble parameter and deceleration parameter as a function of redshift. Extraction of these relations is tested successfully against models with features on various coherence scales, subject to certain statistical cautions.

See Also

Model independent tests of cosmic growth versus expansion

Arman Shafieloo, Alex G. Kim, and Eric V. Linder
Phys. Rev. D 87, 023520 (2013)

Article Text

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