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Percent-Level Test of Isotropic Expansion Using Type Ia Supernovae
John Soltis1, Arya Farahi1,2,3, Dragan Huterer1,2
1Department of Physics, University of Michigan, 450 Church Street, Ann Arbor, Michigan 48109-1040, USA.
This study introduces a new statistical test to examine the Universe's expansion. The analysis of Type Ia supernovae data reveals less than 1% spatial variation in the Hubble parameter, supporting cosmic isotropy.
Area of Science:
- Cosmology
- Astrophysics
- Statistical Analysis
Background:
- The expansion of the Universe is a fundamental concept in cosmology.
- Testing the isotropy of cosmic expansion is crucial for understanding fundamental physics.
- Previous studies have explored variations in the Hubble parameter using various cosmological probes.
Purpose of the Study:
- To propose and implement a novel, robust, and nonparametric statistical test for the isotropy of the Universe's expansion.
- To apply this test to a large sample of Type Ia supernovae to constrain spatial variations in the Hubble parameter.
Main Methods:
- Angular clustering analysis of supernova magnitude residuals from the Pantheon sample.
- Comparison of observed clustering to expected noise under the isotropic assumption.
- Assessment and mitigation of potential systematic effects in the data and analysis.
Main Results:
- A novel, robust, and nonparametric statistical test for cosmic expansion isotropy was developed and applied.
- Analysis of ~1000 Type Ia supernovae from the Pantheon sample was performed.
- An upper limit on the root-mean-square (rms) spatial variation of the Hubble parameter was established.
Conclusions:
- The study demonstrates that spatial variations in the Hubble parameter are constrained to be less than 1% at 99.7% confidence for a Gaussian smoothing of 60°.
- The findings support the assumption of large-scale isotropy in the Universe's expansion at late times.
- Systematic effects were found to be negligible or adequately accounted for in the procedure.
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