Publicações

Smooth reheating via non-Abelian dark sector | Colóquio DFMA

Data: 
quinta-feira, 19 Setembro, 2024 - 14:00 até 15:00
Palestrante: 
Dr. Simona Procacci (Universidade de Genebra)
Resumo: 

 

Abstract: We consider a model, where a single inflaton interacts weakly as an axion with Yang-Mills gauge bosons. As these rapidly thermalize, the friction felt by the inflaton field is increased, leading to a self-amplifying process. If the gauge bosons of the thermal bath represent a dark sector, the reheating of the Standard Model is then realised through portal interactions. The dark relic abundance in this scenario depends mostly on the departure from equilibrium after the universe cools down below the critical temperature, when the dark vectors confine into composite states. This constrains the confinement scale of the dark sector. Moreover, indirect detection and Big-Bang nucleosynthesis set bounds on the portal interactions, revealing a predictive parameter space.

 

 

Bootstrapping the relativistic two-body problem | Colóquio DFMA

Data: 
quinta-feira, 22 Agosto, 2024 - 16:00 até 17:00
Palestrante: 
Dr. Rafael Porto (DESY, Alemanha)
Resumo: 

Abstract: I review the state of the art of modern approaches to gravitational wave physics that leverage ideas and tools from scattering amplitudes and quantum field theory to tackle the gravitational binary problem in (classical) general relativity.

Emulators for beyond-LCDM models and photometric probes | Colóquio DFMA

Data: 
terça-feira, 20 Agosto, 2024 - 16:00 até 17:00
Palestrante: 
Dr. Guilherme Brando (Max Planck Institute for Astrophysics -- Munique. Alemanha)
Resumo: 

Abstract: In this talk, I will discuss the current effort of creating emulators for the non-linear power spectrum in beyond-LCDM models. I will present a pipeline that has been developed to model the matter power spectrum from large to small scales, with a focus on stage-IV photometric galaxy surveys. I will delve into the fundamental components of this pipeline, the consistency checks performed to validate it, and how effectively this new tool performs when conducting a full Bayesian parameter estimation analysis with a survey similar to LSST.
 

 

 

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