Issue |
A&A
Volume 647, March 2021
|
|
---|---|---|
Article Number | A38 | |
Number of page(s) | 7 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361/202039502 | |
Published online | 04 March 2021 |
Testing late-time cosmic acceleration with uncorrelated baryon acoustic oscillation dataset⋆
1
Frankfurt Institute for Advanced Studies (FIAS), Ruth-Moufang-Strasse 1, 60438 Frankfurt am Main, Germany
2
DAMTP, Centre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK
3
Physics Department, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
e-mail: benidav@post.bgu.ac.il
4
Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria
Received:
23
September
2020
Accepted:
15
December
2020
Baryon acoustic oscillations (BAO) involve measuring the spatial distribution of galaxies to determine the growth rate of cosmic structures. We derive constraints on cosmological parameters from 17 uncorrelated BAO measurements that were collected from 333 published data points in the effective redshift range 0.106 ≤ z ≤ 2.36. We test the correlation of the subset using a random covariance matrix. The Λ cold dark matter (ΛCDM) model fit yields the cosmological parameters Ωm = 0.261 ± 0.028 and ΩΛ = 0.733 ± 0.021. Combining the BAO data with the Cosmic Chronometers data, the Pantheon type Ia supernova, and the Hubble diagram of gamma-ray bursts and quasars, the Hubble constant yields 69.85 ± 1.27 km s−1 Mpc−1 and the sound horizon distance gives 146.1 ± 2.15 Mpc. Beyond the ΛCDM model we test ΩkCDM and wCDM. The spatial curvature is Ωk = −0.076 ± 0.012 and the dark energy equation of states is w = −0.989 ± 0.049. We perform the Akaike information criteria test to compare the three models, and see that ΛCDM scores best.
Key words: cosmological parameters / methods: data analysis / astronomical databases: miscellaneous
The python files with the dataset and the fit package can be found at https://github.com/benidav/BAO-2020.
© ESO 2021
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