activity
20152026
most citedImpact of Declining Proposal Success Rates on Scientific Productivity

9 citations · 12 across the 5 of their papers we have counts for

collaborators

7 papers

physics.ins-det2026

Calibration and Performance of Germanium High Voltage Detectors for SuperCDMS SNOLAB

M. F. Albakry, I. Alkhatib, D. Alonso-González +141

As SuperCDMS SNOLAB is getting ready to search for low mass dark matter particles, using cryogenic Ge and Si detectors, a set of six of the new SuperCDMS High Voltage (HV) detector…

physics.ins-det2026

Performance of a SuperCDMS HVeV Detector with Sub-eV Energy Resolution and Single Charge-sensitivity

Kyle Kennard, Aditi Pradeep, Mason Buchanan +41

We present a detailed characterization of a new generation of athermal-phonon single-charge sensitive Si HVeV detectors, the best of which achieved 589~meV~~5~meV baseline res…

hep-ex2025★ 3 cited

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…

physics.ins-det2025

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…

hep-ex2025

The Making of a Community Dark Matter Dataset with the National Science Data Fabric

Amy Roberts, Jack Marquez, Kin Hong NG +9

Dark matter is believed to constitute approximately 85 percent of the universes matter, yet its fundamental nature remains elusive. Direct detection experiments, though globally de…

hep-ex2024

Strategies for Machine Learning Applied to Noisy HEP Datasets: Modular Solid State Detectors from SuperCDMS

P. B. Cushman, M. C. Fritts, A. D. Chambers +2

Background reduction in the SuperCDMS dark matter experiment depends on removing surface events within individual detectors by identifying the location of each incident particle in…

physics.soc-ph2015★ 9 cited

Impact of Declining Proposal Success Rates on Scientific Productivity

Priscilla Cushman, J. Todd Hoeksema, Chryssa Kouveliotou +4

Over the last decade proposal success rates in the fundamental sciences have dropped significantly. Astronomy and related fields funded by NASA and NSF are no exception. Data acros…