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The standard concordance model of the Universe is based on the cosmologicalconstant as the driver of accelerating expansion. This concordance model isbeing subjected to a growing range of inter-locking observations. In additionto using generic observational tests, one can also design tests that target thespecific properties of the cosmological constant. These null tests do not relyon parametrisations of observables, but focus on quantities that are constantonly if dark energy is a cosmological constant. We use supernova data in nulltests that are based on the luminosity distance. In order to extractderivatives of the distance in a model-independent way, we use GaussianProcesses. We find that the concordance model is compatible with the Union 2.1data, but the error bars are fairly large. Simulated datasets are generated forthe DES supernova survey and we show that this survey will allow for a sharpernull test of the cosmological constant if we assume the Universe is flat.Allowing for spatial curvature degrades the power of the null test.

Null tests of the cosmological constant using supernovae