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Quantifying Suspiciousness Within Correlated Data Sets

Lemos, P; Köhlinger, F; Handley, W; Joachimi, B; Whiteway, L; Lahav, O; (2020) Quantifying Suspiciousness Within Correlated Data Sets. Monthly Notices of the Royal Astronomical Society , 496 (4) pp. 4647-4653. 10.1093/mnras/staa1836. Green open access

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Abstract

We propose a principled Bayesian method for quantifying tension between correlated datasets with wide uninformative parameter priors. This is achieved by extending the Suspiciousness statistic, which is insensitive to priors. Our method uses global summary statistics, and as such it can be used as a diagnostic for internal consistency. We show how our approach can be combined with methods that use parameter space and data space to identify the existing internal discrepancies. As an example, we use it to test the internal consistency of the KiDS-450 data in 4 photometric redshift bins, and to recover controlled internal discrepancies in simulated KiDS data. We propose this as a diagnostic of internal consistency for present and future cosmological surveys, and as a tension metric for data sets that have non-negligible correlation, such as LSST and Euclid.

Type: Article
Title: Quantifying Suspiciousness Within Correlated Data Sets
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/mnras/staa1836
Publisher version: http://dx.doi.org/10.1093/mnras/staa1836
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: data analysis, methods: statistical, cosmological parameters, cosmology: observations, 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-pp.ucl.ac.uk/id/eprint/10104099
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