Bayesian updating is rewritten as a temperature-dependent partition function, yielding an effective dimension that quantifies how non-Gaussian a posterior is.
Supernova cosmology: legacy and future
1 Pith paper cite this work. Polarity classification is still indexing.
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.
fields
cond-mat.stat-mech 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
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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.