Spintronic devices: from industrial to biomedical applications
Por Paulo Freitas (INESC-MN and International Iberian Nanotechnology Laboratory, Braga, Portugal).
DF
Mapping the Dark Universe with Gravitational Lensing
Por Ismael Tereno (IA/FCUL).
2017 Nobel Prize in Physics for a discovery that shook the world
Por Francisco Lobo (IA/FCUL).
What can the Higgs boson tell us about the Standard Model (and beyond)?
Por Patrícia Conde Muiño (LIP/FCUL).
Topological soft matter
Por Slobodan Žumer (University of Ljubljana and Jozef Stefan Institute, Slovenia).
3.ª Jornadas dos Doutoramentos do Departamento de Física
Multifunctional materials and nanostructures
João Pedro Araújo
Universidade do Porto
The non-equilibrium Peierls transition in thermodynamic unbalanced system
Pedro Ribeiro
CeFEMA e Departamento de Física, IST, ULisboa
Little Bangs on LHC
Helena Santos
LIP / FCUL
Bayesian methods in the physical sciences (with applications to cosmology)
Andrew Liddle
University of Edinburgh, UK
Abstract: Bayesian data analysis provides a robust framework for interpreting data and testing physical models. I outline the main principles of such analyses. While the methodology is broadly applicable across all sciences, I demonstrate it with some explicit examples in contemporary cosmology.
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