activity
20242026
collaborators

6 papers

astro-ph.CO2026

The Topology of the Universe

Craig J. Copi, Deyan P. Mihaylov, Anna Negro +14

Is the Universe infinite in all directions? The only way to know is to look. A non-trivial cosmic topology would imprint subtle signatures on the cosmic microwave background (CMB)…

astro-ph.CO2025

Cosmic topology. Part IIb. Eigenmodes, correlation matrices, and detectability of non-orientable Euclidean manifolds

Craig J. Copi, Amirhossein Samandar, Glenn D. Starkman +13

If the Universe has non-trivial spatial topology, observables depend on both the parameters of the spatial manifold and the position and orientation of the observer. In infinite Eu…

astro-ph.CO2025

Cosmic topology. Part IIIb. Eigenmodes and correlation matrices of spin-2 perturbations in orientable Euclidean manifolds

Amirhossein Samandar, Javier Carrón Duque, Craig J. Copi +13

We study the eigenmodes of the spin-2 Laplacian in orientable Euclidean manifolds and their implications for the tensor-induced part of the cosmic microwave background (CMB) temper…

astro-ph.CO2025

Cosmic topology. Part Ic. Limits on lens spaces from circle searches

Samanta Saha, Craig J. Copi, Glenn D. Starkman +11

Cosmic microwave background (CMB) temperature and polarization observations indicate that in the best-fit Cold Dark Matter model of the Universe, the local geometry is consist…

astro-ph.CO2024

Cosmic topology. Part IIIa. Microwave background parity violation without parity-violating microphysics

Amirhossein Samandar, Javier Carrón Duque, Craig J. Copi +11

The standard cosmological model, which assumes statistical isotropy and parity invariance, predicts the absence of correlations between even-parity and odd-parity observables of th…

astro-ph.CO2024

Cosmic topology. Part IVa. Classification of manifolds using machine learning: a case study with small toroidal universes

Andrius Tamosiunas, Fernando Cornet-Gomez, Yashar Akrami +16

Non-trivial spatial topology of the Universe may give rise to potentially measurable signatures in the cosmic microwave background. We explore different machine learning approaches…