Quantifying Tensions between CMB and Distance Datasets in Models with Free Curvature or Lensing Amplitude
S. Grandis (LMU), D. Rapetti (LMU), A. Saro (LMU), J. J. Mohr, (LMU/MPE), J. P. Dietrich (LMU)

TL;DR
This paper investigates tensions between Planck 2015 CMB data and other cosmological datasets, finding that models with free curvature or lensing amplitude can alleviate some tensions, but residual discrepancies suggest possible systematic issues or new physics.
Contribution
The study introduces new statistical tools to measure dataset tensions and assesses model preferences, highlighting the impact of free curvature and lensing amplitude on dataset consistency.
Findings
Models with free curvature or lensing amplitude are preferred over flat ΛCDM.
Significant tension exists between CMB and distance ladder data in flat ΛCDM.
Allowing free lensing amplitude reduces tensions, but CMB lensing remains in tension.
Abstract
Recent measurements of the Cosmic Microwave Background (CMB) by the Planck Collaboration have produced arguably the most powerful observational evidence in support of the standard model of cosmology, i.e. the spatially flat CDM paradigm. In this work, we perform model selection tests to examine whether the base CMB temperature and large scale polarization anisotropy data from Planck 2015 (P15) prefer any of eight commonly used one-parameter model extensions with respect to flat CDM. We find a clear preference for models with free curvature, , or free amplitude of the CMB lensing potential, . We also further develop statistical tools to measure tension between datasets. We use a Gaussianization scheme to compute tensions directly from the posterior samples using an entropy-based method, the surprise, as well as a calibrated evidence…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
