We perform null tests of the concordance model, using $H\left(z\right)$ measurements that mimic next-generation surveys such as Euclid and the SKA. To this end, we deploy a non-parametric method, so that we make minimal assumptions about the fiducial cosmology as well as the statistical analysis. We produce simulations assuming different cosmological models in order to verify how well we can distinguish between their signatures. We find that SKA- and Euclid-like surveys should be able to discriminate sharply between the concordance and alternative dark energy models that are compatible with the Planck CMB data. We conclude that SKA and Euclid will be able to falsify the concordance model in a statistically significant way, if one of the benchmarks models represents the true Universe, without making assumptions about the underlying cosmology.

我们执行一致性模型的空测试，使用 $H\left(z\right)$模拟下一代调查的测量，例如 Euclid 和 SKA。为此，我们部署了一种非参数方法，以便我们对基准宇宙学和统计分析做出最小的假设。我们假设不同的宇宙学模型进行模拟，以验证我们区分它们的特征的能力。我们发现类似 SKA 和 Euclid 的调查应该能够在与普朗克 CMB 数据兼容的一致性和替代暗能量模型之间进行严格区分。我们得出的结论是，如果基准模型之一代表真实的宇宙，而无需对潜在宇宙学做出假设，SKA 和 Euclid 将能够以统计上显着的方式伪造一致性模型。