Results 1 to 10 of about 38,540 (143)

Single electron sensitive GridPix TPCs and their application in Dark Matter search and v-less Double Beta Decay Experiments [PDF]

open access: diamondJournal of Physics: Conference Series, 2011
The industrial production of monolithic GridPix pixel chips for the digital readout of primary electrons in a TPC is under study at IZM-Fraunhofer, Berlin. With future low-cost chips, new applications are foreseen in TPCs for bi-phase Ar/Xe dark matter experiments, and for v-less double beta decay experiments.
Harry van der Graaf
openaire   +3 more sources

Dark Matter Investigation Using Double Beta Decay Experiments [PDF]

open access: goldPhysical Sciences Forum, 2023
Nuclei that are unstable with respect to double beta decay are potentially interesting for a novel Dark Matter (DM) direct detection approach. In particular, a Majorana DM fermion inelastically scattering on a double beta unstable nucleus could stimulate
Francesco Nozzoli, Cinzia Cernetti
doaj   +2 more sources

Radon-induced surface contaminations in neutrinoless double beta decay and dark matter experiments

open access: green, 2011
In experiments looking for rare events, like neutrinoless double beta decay (DBD0v) and dark matter search (DM), one of the main issues is to increase the experimental sensitivity through the material selection and production. In the specific the background contribution coming from the materials used for the detector realization has to be minimized ...
L. Pattavina
  +7 more sources

Updated and novel limits on double beta decay and dark matter-induced processes in platinum [PDF]

open access: yesEuropean Physical Journal C: Particles and Fields, 2023
A 510 day long-term measurement of a 45.3 g platinum foil acting as the sample and high voltage contact in an ultra-low-background high purity germanium detector was performed at Laboratori Nazionali del Gran Sasso (Italy).
B. Broerman   +5 more
doaj   +2 more sources

A model of neutrino mass and dark matter with large neutrinoless double beta decay [PDF]

open access: yesJournal of High Energy Physics, 2017
We propose a model where neutrino masses are generated at three loop order but neutrinoless double beta decay occurs at one loop. Thus we can have large neutrinoless double beta decay observable in the future experiments even when the neutrino masses are
Julien Alcaide   +2 more
doaj   +4 more sources

Bound-state dark matter with Majorana neutrinos

open access: yesPhysics Letters B, 2019
We propose a simple scenario in which dark matter (DM) emerges as a stable neutral hadronic thermal relic, its stability following from an exact U(1)D symmetry.
M. Reig   +3 more
doaj   +3 more sources

Measurement of high energy dark matter from the Sun at IceCube

open access: yesJournal of High Energy Physics, 2021
It is assumed that heavy dark matter particles (HDMs) with a mass of O(TeV) are captured by the Sun. HDMs can decay to relativistic light dark matter particles (LDMs), which could be measured by km3 neutrino telescopes (like the IceCube detector).
Ye Xu
doaj   +1 more source

Annual modulations from secular variations: relaxing DAMA?

open access: yesJournal of High Energy Physics, 2020
The DAMA collaboration reported an annually modulated rate with a phase compatible with a Dark Matter induced signal. We point out that a slowly varying rate can bias or even simulate an annual modulation if data are analyzed in terms of residuals ...
Dario Buttazzo   +3 more
doaj   +1 more source

Scalable haloscopes for axion dark matter detection in the 30 μeV range with RADES

open access: yesJournal of High Energy Physics, 2020
RADES (Relic Axion Detector Exploratory Setup) is a project with the goal of directly searching for axion dark matter above the 30μeV scale employing custom-made microwave filters in magnetic dipole fields.
A. Álvarez Melcón   +16 more
doaj   +1 more source

Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment

open access: yesJournal of High Energy Physics, 2021
Convolutional neural networks (CNNs) are widely used state-of-the-art computer vision tools that are becoming increasingly popular in high-energy physics.
The NEXT collaboration   +90 more
doaj   +1 more source

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