Doux, C;
Baxter, E;
Lemos, P;
Chang, C;
Alarcon, A;
Amon, A;
Campos, A;
... Wilkinson, RD; + view all
(2021)
Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions.
Monthly Notices of the Royal Astronomical Society
, 503
(2)
pp. 2688-2705.
10.1093/mnras/stab526.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/mnras/stab526 |
| Publisher version: | http://dx.doi.org/10.1093/mnras/stab526 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | gravitational lensing: weak, methods: statistical, dark energy, large-scale structure of Universe |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10123763 |
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