Dynamical dark energy in light of the latest observations
- Submitting institution
-
University of Cambridge
- Unit of assessment
- 9 - Physics
- Output identifier
- 10402
- Type
- D - Journal article
- DOI
-
10.1038/s41550-017-0216-z
- Title of journal
- Nature Astronomy
- Article number
- -
- First page
- 627
- Volume
- 1
- Issue
- 9
- ISSN
- 2397-3366
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
25
- Research group(s)
-
-
- Citation count
- 204
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- Handley designed and provided the key piece of code implementing the correlated gaussian prior bijector for performing the gaussian process reconstruction which was the cornerstone of this analysis. As designer of nested sampling tools (PolyChord), Handley was involved in discussions on how to setup, use and analyse the outputs of the Bayesian inference tools, and provided critical feedback throughout the drafting process of the paper in both the science results and the inference.
- Non-English
- No
- English abstract
- -
