4.7 Article

THE GAMMA-RAY BURST HUBBLE DIAGRAM AND ITS IMPLICATIONS FOR COSMOLOGY

期刊

ASTROPHYSICAL JOURNAL
卷 772, 期 1, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/772/1/43

关键词

cosmology: observations; cosmology: theory; dark energy; early universe; gamma-ray burst: general

资金

  1. National Basic Research Program (973 Program) of China [2009CB824800, 2013CB834900]
  2. One-Hundred-Talents Program
  3. Youth Innovation Promotion Association of the Chinese Academy of Sciences
  4. Natural Science Foundation of Jiangsu Province
  5. Chinese Academy of Sciences [2012T1J0011]
  6. Chinese State Administration of Foreign Experts Affairs [GDJ20120491013]

向作者/读者索取更多资源

In this paper, we continue to build support for the proposal to use gamma-ray bursts (GRBs) as standard candles in constructing the Hubble diagram at redshifts beyond the current reach of Type Ia supernova observations. We confirm that correlations among certain spectral and light-curve features can indeed be used as luminosity indicators, and demonstrate from the most up-to-date GRB sample appropriate for this work that the Lambda CDM model optimized with these data is characterized by parameter values consistent with those in the concordance model. Specifically, we find that (Omega(m), Omega(Lambda)) approximate to (0.25(-0.06)(+0.05), 0.75(-0.05)(+0.06)), which are consistent, to within 1 sigma, with (0.29, 0.71) obtained from the 9 yr Wilkinson Microwave Anisotropy Probe data. We also carry out a comparative analysis between Lambda CDM and the R-h = ct universe and find that the optimal Lambda CDM model fits the GRB Hubble diagram with a reduced chi(2)(dof) approximate to 2.26, whereas the fit using R-h = ct results in a chi(2)(dof) approximate to 2.14. In both cases, about 20% of the events lie at least 2 sigma away from the best-fit curves, suggesting that either some contamination by non-standard GRB luminosities is unavoidable or that the errors and intrinsic scatter associated with the data are being underestimated. With these optimized fits, we use three statistical tools-the Akaike information criterion, the Kullback information criterion, and the Bayes information criterion-to show that, based on the GRB Hubble diagram, the likelihood of R-h = ct being closer to the correct model is similar to 85%-96%, compared to similar to 4%-15% for Lambda CDM.

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