Applications of Astrostatistics to Dark Matter Phenomenology and Beyond the Standard Model Theories (4/4)

by Prof. Roberto Trotta (Imperial College London)

Friday 30 Nov 2018, 09:30 → 11:30 Europe/Brussels

E/3rd floor-E.349 - Seminar room (E.349) (Marc de Hemptinne (chemin du Cyclotron, 2, Louvain-la-Neuve))

This is the last lecture of the week given by Prof Roberto Trotta, recipient of the "Chaire Georges Lemaître" for the academic year 2018-2019.

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Abstract:

The study of dark matter phenomenology and of underlying theoretical models has
advanced dramatically in recent years thanks to the development of "global fits" ­ an
approach to combine all available data in a statistically convergent fit of Beyond the
Standard Model theoretical parameters. This approach now includes sophisticated methods
to simultaneously use direct detection, indirect detection and collider data to constrain the
parameter space for dark matter, and map this onto the underlying theory parameters, e.g.
in Supersymmetry.
I will describe the "global fits" approach and its ability to deliver quantitative inference both
from a Bayesian and a frequentist (profile likelihood) point of view. I will review current
results in the field and associated challenges.

 

CGM_2018_Lecture_5.pdf