62 citations · 70 across the 8 of their papers we have counts for
3 papers · 1 filter
Disentangling axion-like particle couplings to nucleons via a delayed signal in Super-Kamiokande from a future supernova
David Alonso-González, David Cerdeño, Marina Cermeño +1
In this work, we show that, if axion-like particles (ALPs) from core-collapse supernovae (SNe) couple to protons, they would produce very characteristic signatures in neutrino wate…
Probing a diffuse flux of axion-like particles from galactic supernovae with neutrino water Cherenkov detectors
David Alonso-González, David Cerdeño, Marina Cermeño +1
In this article, we claim that axion-like particles (ALPs) with MeV masses can be produced with semi-relativistic velocities in core-collapse supernovae (SNe), generating a diffuse…
Bayesian technique to combine independently-trained Machine-Learning models applied to direct dark matter detection
David Cerdeno, Martin de los Rios, Andres D. Perez
We carry out a Bayesian analysis of dark matter (DM) direct detection data to determine particle model parameters using the Truncated Marginal Neural Ratio Estimation (TMNRE) machi…