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19922026
most citedBig-Bang nucleosynthesis (Particle Data Group mini-review)

4.1k citations · 31.4k across the 275 of their papers we have counts for

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Showing 2006Show all

17 papers · 1 filter

astro-ph2006★ 82 cited

The evolution of clusters in the CLEF cosmological simulation: X-ray structural and scaling properties

Scott T. Kay, Antonio C. da Silva, Nabila Aghanim +5

We present results from a study of the X-ray cluster population that forms within the CLEF cosmological hydrodynamics simulation, a large N-body/SPH simulation of the Lambda CDM co…

astro-ph2006★ 66 cited

Quintessence reconstructed: new constraints and tracker viability

Martin Sahlén, Andrew R Liddle, David Parkinson

We update and extend our previous work reconstructing the potential of a quintessence field from current observational data. We extend the cosmological dataset to include new super…

astro-ph2006★ 101 cited

Intermediate inflation in light of the three-year WMAP observations

John D Barrow, Andrew R Liddle, Cédric Pahud

The three-year observations from the Wilkinson Microwave Anisotropy Probe have been hailed as giving the first clear indication of a spectral index n_s<1. We point out that the dat…

astro-ph2006★ 101 cited

Present and future evidence for evolving dark energy

Andrew R Liddle, Pia Mukherjee, David Parkinson +1

We compute the Bayesian evidences for one- and two-parameter models of evolving dark energy, and compare them to the evidence for a cosmological constant, using current data from T…

astro-ph2006★ 71 cited

Nflation: non-gaussianity in the horizon-crossing approximation

Soo A. Kim, Andrew R. Liddle

We analyze the cosmic non-gaussianity produced in inflation models with multiple uncoupled fields with monomial potentials, such as Nflation. Using the horizon-crossing approximati…

astro-ph2006★ 5 cited

Cosmological model selection

Andrew R. Liddle, Pia Mukherjee, David Parkinson

Model selection aims to determine which theoretical models are most plausible given some data, without necessarily asking about the preferred values of the model parameters. A comm…