What question did this study set out to answer?

The research aims to simulate a cyclic universe incorporating negative mass and quantum bounce effects.

March 3, 2026Open Access

A cyclic universe model with negative mass and quantum bounce

Key Points

The research aims to simulate a cyclic universe incorporating negative mass and quantum bounce effects.
Conducted a Python simulation of a cyclic universe model.
Performed an automated parameter search with 139 runs.
Tested model against four observational benchmarks.
Model parameters aligned with the first peaks of the Planck CMB spectrum.
Successful replication of large-scale cosmic structures like filaments and voids.
Consistent with galaxy cluster distribution from MCXC-II.
Matched the gamma-ray dipole anomaly at specified coordinates.

Abstract

A Python simulation of a cyclic universe with gravity (G), dark energy (Λ), quantum bounce (Q), and negative mass (-M). After an automated parameter search (139 runs), the model shows agreement with four independent observational tests: First peaks of the Planck CMB spectrum. Large-scale structure (filaments, voids) from SDSS. Galaxy cluster distribution (MCXC-II). Gamma-ray dipole anomaly (l=176. 9°, b=-7. 3°). The optimal parameters are: G=0. 095, Λ=0. 05, Q=0. 0103, -M=5%, fluctᵣate=0. 005. The author thanks DeepSeek for assistance in code development, discussions of physical ideas, and support throughout the research.

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A cyclic universe model with negative mass and quantum bounce

Key Points

Abstract

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