2007
DOI: 10.1016/j.physletb.2007.06.053
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Constraints on the DGP Universe using observational Hubble parameter

Abstract: In this work, we use observations of the Hubble parameter from the differential ages of passively evolving galaxies and the recent detection of the Baryon Acoustic Oscillations (BAO) at z1 = 0.35 to constrain the Dvali-Gabadadze-Porrati (DGP) universe. For the case with a curvature term, we set a prior h = 0.73 ± 0.03 and the best-fit values suggest a spatially closed Universe. For a flat Universe, we set h free and we get consistent results with other recent analyses.

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Cited by 21 publications
(17 citation statements)
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“…This test was performed mainly using Supernovae, but also using Baryonic Acoustic Oscillations and the CMB so as to fix the background history of the Universe [162, 217, 221, 286, 391, 23, 405, 481, 304, 382, 462]. Current observations seem to slightly disfavor the additional term in the Friedmann equation of DGP, even in the normal branch where the late-time acceleration of the Universe is due to a cosmological constant as in ΛCDM.…”
Section: The Dvali-gabadadze-porrati Modelmentioning
confidence: 99%
“…This test was performed mainly using Supernovae, but also using Baryonic Acoustic Oscillations and the CMB so as to fix the background history of the Universe [162, 217, 221, 286, 391, 23, 405, 481, 304, 382, 462]. Current observations seem to slightly disfavor the additional term in the Friedmann equation of DGP, even in the normal branch where the late-time acceleration of the Universe is due to a cosmological constant as in ΛCDM.…”
Section: The Dvali-gabadadze-porrati Modelmentioning
confidence: 99%
“…As shown in [458], the current H(z) data from direct measurements can provide valuable constraints on dark energy. In the future, with the developments in the observational technique of LRGs, the H(z) measurements can provide useful complements to other cosmic observations [459,460].…”
Section: Hubble Parameter Measurementsmentioning
confidence: 99%
“…Moreover, compared with other observational data, it is more rewarding to investigate the observational H(z) data directly, because it can take the fine structure of H(z) into consideration and then use the important information that this structure provides. By using the differential ages of passively evolving galaxies determined from the Gemini Deep Deep Survey (GDDS) (Abraham et al 2004) and archival data (Treu et al 2001(Treu et al , 2002Nolan et al 2003a,b), Simon et al (2005) determined nine values of the Hubble parameter H(z) in the range 0 ≤ z ≤ 1.8, which have been used to constrain the parameters of various dark energy models (Samushia & Ratra 2006;Wei & Zhang 2007;Wu & Yu 2007a,b;Zhang & Zhu 2007;Kurek & Szydlowski 2007;Lazkoz & Majerotto 2007;Sen & Scherrer 2008;Wan et al 2007;Xu et al 2008;Zhai et al 2010). The H(z) data at 11 different redshifts were determined from the differential ages of red-envelope galaxies (Stern et al 2010), and two more Hubble parameter data points H(z = 0.24) = 79.69 ± 4.61 and H(z = 0.43) = 86.45 ± 5.96 were obtained by Gaztañaga et al (2009) from observations of BAO peaks (for a review of the observational H(z) data, see Zhang et al 2010).…”
Section: The Observational H(z) Datamentioning
confidence: 99%