Speaker
Dr
Andres Daniel Perez
(Instituto de Física Teórica UAM-CSIC)
Description
In this work we study the reach of future Direct Detection Dark Matter experiments within the framework of effective field theory (EFT) to describe the DM-nucleus scattering cross section. To extract as much information as possible, we perform a Bayesian analysis using Machine Learning techniques which allow us to assess the discovery potential of each parameter point in an easy and fast way. Although we use a XENON-like experiment as a benchmark, our analysis can be extended to other detectors since different data representations are tested and compared. We show the results in the Dark Matter mass, coupling-coefficient amplitude and phase space of the EFT operators.
Author
Dr
Andres Daniel Perez
(Instituto de Física Teórica UAM-CSIC)
Co-authors
David Cerdeño
(Institute for Theoretical Physics (IFT-UAM/CSIC))
Dr
Martín de los Rios
(IFT/UAM)
