REVIEW 2 cited by
Supernova cosmology: legacy and future
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
The discovery of dark energy by the first generation of high-redshift supernova surveys has generated enormous interest beyond cosmology and has dramatic implications for fundamental physics. Distance measurements using supernova explosions are the most direct probes of the expansion history of the Universe, making them extremely useful tools to study the cosmic fabric and the properties of gravity at the largest scales. The past decade has seen the confirmation of the original results. Type Ia supernovae are among the leading techniques to obtain high-precision measurements of the dark energy equation of state parameter, and in the near future, its time dependence. The success of these efforts depends on our ability to understand a large number of effects, mostly of astrophysical nature, influencing the observed flux at Earth. The frontier now lies in understanding if the observed phenomenon is due to vacuum energy, albeit its unnatural density, or some exotic new physics. Future surveys will address the systematic effects with improved calibration procedures and provide thousands of supernovae for detailed studies.
Forward citations
Cited by 2 Pith papers
-
Partition function approach to non-Gaussian likelihoods: information theory and state variables for Bayesian inference
Bayesian updating is rewritten as a temperature-dependent partition function, yielding an effective dimension that quantifies how non-Gaussian a posterior is.
-
Modified theories of gravity at different curvature scales
A review that classifies modified gravity theories by the GR principles they preserve or violate, and maps their tests onto a curvature-compactness plane.
Discussion (0). Continue with ORCID to comment.