7 papers
: Solar Neutrinos for Direct Detection
Dorian W. P. Amaral, David Cerdeño, Andrew Cheek +2
We introduce Solar Neutrinos for Direct Detection (): an open-source Python package that enables the computation of the solar neutrino rate spectrum at direct detec…
Neutrino NSI in archaeological Pb
D. Alloni, G. Benato, P. Carniti +47
Dark matter direct detection experiments can observe solar neutrinos via coherent elastic neutrino-nucleus scattering, making it possible to test new physics in the neutrino sector…
New benchmarks for direct detection of freeze-in dark matter in vector portal models
David Cerdeño, Patrick Foldenauer, Rafael López Noé +1
We investigate the freeze-in of MeV-scale fermionic dark matter (DM) that couples to the Standard Model via a new vector mediator to assess the potential that future direct detecti…
Stochastic galactic supernova flux of semi-relativistic particles
David Alonso-González, David Cerdeño, Marina Cermeño +1
New exotic particles with MeV masses, such as axion-like particles or light dark matter, can be emitted from core-collapse supernovae (SNe) with semi-relativistic velocities. Due t…
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…