Search Results for author: David G. Cerdeno

Found 2 papers, 1 papers with code

The Power of Genetic Algorithms: what remains of the pMSSM?

no code implementations9 May 2018 Steven Abel, David G. Cerdeno, Sandra Robles

Genetic Algorithms (GAs) are explored as a tool for probing new physics with high dimensionality.

Physics from solar neutrinos in dark matter direct detection experiments

1 code implementation4 Apr 2016 David G. Cerdeno, Malcolm Fairbairn, Thomas Jubb, Pedro A. N. Machado, Aaron C. Vincent, Celine Boehm

In this article, we compute the projected nuclear and electron recoil rates expected in several dark matter direct detection experiments due to solar neutrinos, and use these estimates to quantify errors on future measurements of the neutrino fluxes, weak mixing angle and solar observables, as well as to constrain new physics in the neutrino sector.

High Energy Physics - Phenomenology

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