4 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…
Community Report from the 2025 SNOLAB Future Projects Workshop
M. D. Diamond, P. Abbamonte, A. Arvanitaki +54
SNOLAB hosts a biannual Future Projects Workshop (FPW) with the goal of encouraging future project stakeholders to present ideas, concepts, and needs for experiments or programs th…
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…
Applying Geant4's Importance Biasing to improve the efficiency of SuperCDMS background simulations
B. Zatschler, A. J. Biffl, R. Calkins +6
Experiments searching for extremely rare events surround their sensitive detectors with several layers of different shielding materials to protect them from external radiation and…