activity
20242026
collaborators

7 papers

astro-ph.CO2026

Cosmic birefringence from a joint analysis of ACT and Planck

Johannes R. Eskilt

Dark matter and dark energy could be ultra-light pseudoscalar fields that couple to electromagnetism through a Chern-Simons term. This would cause a parity-breaking rotation of the…

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.CO2024

Cosmic topology. Part I. Limits on orientable Euclidean manifolds from circle searches

Pip Petersen, Yashar Akrami, Craig J. Copi +9

The Einstein field equations of general relativity constrain the local curvature at every point in spacetime, but say nothing about the global topology of the Universe. Cosmic micr…

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…