Cosmology

Cosmology is the study of the large scale structure of the Universe, as well as its dynamics. Our group has been involved in the study and development of cosmological models, in particular to explain the accelerated phases of the cosmological evolution, dubbed inflationary phases.

For our latest developments/activities in this area, please see the listing below.


Latest Cosmology Publications

A convenient gauge for virial identities in axial symmetry, J. M. S. Oliveira, A. M. Pombo;     Phys. Lett. B 837 (2023) 137646; arXiv:2207.12451 [gr-qc].

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Regular Articles
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CDF II W-mass anomaly faces first-order electroweak phase transition, A. Addazi, A. Marciano, A. P. Morais, R. Pasechnik, H. Yang; Eur. Phys. J. C 83 (2023) 207; arXiv:2204.10315 [hep-ph].

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Regular Articles
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Gravitational-Wave Signatures of Chiral-Symmetric Technicolor, Hao Yang, Felipe F. Freitas, Antonino Marciano, António P. Morais, Roman Pasechnik, João Viana; Phys. Lett. B 830 (2022) 137162, arXiv:2204.00799 [hep-ph].

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Regular Articles
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Virial identities in relativistic gravity: 1D effective actions and the role of boundary terms, Carlos A. R. Herdeiro, João M. S. Oliveira, Alexandre M. Pombo, Eugen Radu; Phys. Rev. D 104 (2021) 104051, arXiv:2109.05027 [gr-qc].

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Regular Articles
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Impact of SM parameters and of the vacua of the Higgs potential in gravitational waves detection, Felipe F. Freitas, Gabriel Lourenço, António P. Morais, André Nunes, João Olívia, Roman Pasechnik, Rui Santos, João Viana; JCAP 03 (2022) 03, 046, arXiv:2108.12810 [hep-ph].

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Regular Articles
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Latest Cosmology News & Events

Cosmology from galaxy phase-space information and a bit of halo-galaxy connection

Seminar_logo_event
Speaker
Natali de Santi (Flatiron Institute and University of Sao Paulo)
Event date
Venue
Online (only)
Event type

In this talk, I will give an overview of how to do field-level likelihood-free inference with galaxy catalogs.
More specifically, only using phase-space information, I will show how to convert galaxy catalogs into graphs.
I will explain how to use graph neural networks, associated with moment neural networks, to constrain Omega matter.