The next generation of neutrino telescopes will feature unprecedented sensitivities in the
detection of neutrinos. Here we study the capabilities of a large-scale neutrino telescope …

We consider the treatment of fermionic dark matter interacting with photons via dimension-5
and-6 effective operators, arguing that one should always use hypercharge gauge field form …

APPRENTICE is a tool developed for event generator tuning. It contains a range of
conceptual improvements and extensions over the tuning tool Professor. Its core …

We propose a method to ease the challenges of exploring multidimensional parameter
spaces in beyond-the-Standard Model theories. We evaluate the model likelihood for any …

Experimental developments in neutrino telescopes are drastically improving their ability to
constrain the annihilation cross-section of dark matter. In this paper, we employ an angular …

We present two approaches for computing rational approximations to multivariate functions,
motivated by their effectiveness as surrogate models for high-energy physics (HEP) …

A bstract Higgs portal models are the most minimal way to explain the relic abundance of the
Universe. They add just a singlet that only couples to the Higgs through a single parameter …

In this article we investigate the benefits of increasing the maximum nuclear recoil energy
analysed in dark matter (DM) direct detection experiments. We focus on elastic DM-nucleus …

A bstract In this paper we study the presence of generalized blind spots, ie regions of the
parameter space where the spin-independent cross section for dark matter direct detection …

Multi-dimensional parameter spaces are commonly encountered in astroparticle physics
theories that attempt to capture novel phenomena. However, they often possess complicated …