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Synapse
March 13, 20260 citationsOpen Access

Scale-Dependent Geometric Structure in the CMB: Exploratory Topological Statistics

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CKChristian Kai

Key Points

  • This research aims to analyze the cosmic microwave background (CMB) using geometric and topological methods to reveal structural characteristics.
  • Utilized Planck SMICA cosmic microwave background temperature map for analysis.
  • Employed fractal scaling estimators, Minkowski functionals, and Betti curves.
  • Generated Gaussian reference distributions through HEALPix synfast simulations.
  • Findings align broadly with Gaussian ΛCDM (Lambda Cold Dark Matter) model expectations.
  • Topology-based descriptors show deviations at approximately 2-3σ in some configurations.
  • No statistically significant anomalies were identified despite mild deviations.

Abstract

We perform an exploratory statistical analysis of the Planck SMICA cosmic microwave background temperature map using geometric and topological descriptors including fractal scaling estimators, Minkowski functionals, and Betti curves of excursion sets. Gaussian reference distributions are generated using HEALPix synfast simulations based on the Planck best-fit ΛCDM power spectrum. Across the statistics considered we find results broadly consistent with Gaussian ΛCDM expectations. Topology-based descriptors show mild deviations at the ~2–3σ level in some configurations, but these remain below the threshold required to claim a statistically significant anomaly. This work is intended as an exploratory investigation of multiscale geometric statistics in cosmological datasets.

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Cite This Study

Christian Kai (2026) studied this question.

synapsesocial.com/papers/69b3ad0502a1e69014ccf448https://doi.org/10.5281/zenodo.18962391
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