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Large scale anomalies in the microwave background: causation and correlation
Grigor Aslanyan1, Richard Easther1
1Department of Physics, University of Auckland, Private Bag 92019, Auckland, New Zealand.
Physical Review Letters
|February 4, 2014
Summary
Physical models explain microwave sky anomalies by modeling early Universe inhomogeneities. This approach quantifies anomalies and reduces cosmic variance, offering a more rigorous assessment of large-scale cosmic structures.
Area of Science:
- Cosmology
- Astrophysics
- Cosmic Microwave Background (CMB) analysis
Background:
- Existing analyses of large-scale anomalies in the microwave sky are often post-hoc, lacking quantified look-elsewhere effects.
- Apparent anomalies may arise from specific inhomogeneities in the early Universe rather than statistical fluctuations.
Purpose of the Study:
- To contrast a priori physical models of early Universe inhomogeneities with a posteriori anomaly detection methods.
- To demonstrate that physical models can predict correlations with polarization and large-scale structure, mitigating cosmic variance.
- To quantitatively assess potential large-scale anomalies in the Universe through a generalized physical modeling approach.
Main Methods:
- Development and application of physical models for early Universe inhomogeneities.
- Computation of apparent spatial curvature induced by large-scale inhomogeneities.
- Illustrative example using a single plane wave inhomogeneity to model low-l mode alignment and power spectrum odd-even asymmetry.
Main Results:
- Physical models offer a framework for understanding and quantifying microwave sky anomalies.
- Apparent spatial curvature from inhomogeneities is typically small, enabling self-consistent analysis.
- A single plane wave inhomogeneity model successfully explains a significant portion of the claimed odd-even asymmetry in power spectra.
Conclusions:
- Physical models provide a more robust and quantitative approach to assessing large-scale cosmic anomalies.
- This methodology reduces reliance on statistical methods and addresses limitations like cosmic variance.
- The proposed approach can be generalized for a comprehensive analysis of cosmic anomalies.
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