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Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions

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arxiv 2011.03410 v3 pith:S6WNBFTG submitted 2020-11-06 astro-ph.CO astro-ph.IM

Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions

classification astro-ph.CO astro-ph.IM
keywords datalambdaanalysisconsistencycosmologicaljointprobestests
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Beyond-$\Lambda$CDM physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analyzed assuming $\Lambda$CDM. We present an application of internal consistency tests to measurements from the Dark Energy Survey Year 1 (DES Y1) joint probes analysis. Our analysis relies on computing the posterior predictive distribution (PPD) for these data under the assumption of $\Lambda$CDM. We find that the DES Y1 data have an acceptable goodness of fit to $\Lambda$CDM, with a probability of finding a worse fit by random chance of ${p = 0.046}$. Using numerical PPD tests, supplemented by graphical checks, we show that most of the data vector appears completely consistent with expectations, although we observe a small tension between large- and small-scale measurements. A small part (roughly 1.5%) of the data vector shows an unusually large departure from expectations; excluding this part of the data has negligible impact on cosmological constraints, but does significantly improve the $p$-value to 0.10. The methodology developed here will be applied to test the consistency of DES Year 3 joint probes data sets.

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