3 citations · 3 across the 2 of their papers we have counts for
3 papers
Multi-channel, multi-template event reconstruction for SuperCDMS data using machine learning
M. F. Albakry, I. Alkhatib, D. Alonso-Gonzalez +139
SuperCDMS SNOLAB uses kilogram-scale germanium and silicon detectors to search for dark matter. Each detector has Transition Edge Sensors (TESs) patterned on the top and bottom fac…
Low-Energy Calibration of SuperCDMS HVeV Cryogenic Silicon Calorimeters Using Compton Steps
SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib +148
Cryogenic calorimeters for low-mass dark matter searches have achieved sub-eV energy resolutions, driving advances in both low-energy calibration techniques and our understanding o…
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…