229 citations · 385 across the 17 of their papers we have counts for
20 papers · 1 filter
Search for low-mass electron-recoil dark matter using a single-charge sensitive SuperCDMS-HVeV Detector
SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib +146
We present constraints on low-mass dark matter electron scattering and absorption interactions using a SuperCDMS high-voltage eV-resolution (HVeV) detector. Data were taken undergr…
Light Dark Matter Constraints from SuperCDMS HVeV Detectors Operated Underground with an Anticoincidence Event Selection
SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib +139
This article presents constraints on dark-matter-electron interactions obtained from the first underground data-taking campaign with multiple SuperCDMS HVeV detectors operated in t…
A Search for Low-mass Dark Matter via Bremsstrahlung Radiation and the Migdal Effect in SuperCDMS
M. F. Albakry, I. Alkhatib, D. Alonso +130
We present a new analysis of previously published of SuperCDMS data using a profile likelihood framework to search for sub-GeV dark matter (DM) particles through two inelastic scat…
G4CMP: Condensed Matter Physics Simulation Using the Geant4 Toolkit
M. H. Kelsey, R. Agnese, Y. F. Alam +44
G4CMP simulates phonon and charge transport in cryogenic semiconductor crystals using the Geant4 toolkit. The transport code is capable of simulating the propagation of acoustic ph…
Investigating the sources of low-energy events in a SuperCDMS-HVeV detector
SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib +126
Recent experiments searching for sub-GeV/ dark matter have observed event excesses close to their respective energy thresholds. Although specific to the individual technologie…
A Search for Low-mass Dark Matter via Bremsstrahlung Radiation and the Migdal Effect in SuperCDMS
SuperCDMS Collaboration, Musaab Al-Bakry, Imran Alkhatib +128
In this paper, we present a re-analysis of SuperCDMS data using a profile likelihood approach to search for sub-GeV dark matter particles (DM) through two inelastic scattering chan…