activity
20172025
most citedA Highly Drift-stable Atomic Magnetometer for Fundamental Physics Experiments

26 citations · 80 across the 5 of their papers we have counts for

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physics.ins-det202112 cited

Reflectivity of VUV-sensitive Silicon Photomultipliers in Liquid Xenon

M. Wagenpfeil, T. Ziegler, J. Schneider +140

Silicon photomultipliers are regarded as a very promising technology for next-generation, cutting-edge detectors for low-background experiments in particle physics. This work prese…

physics.ins-det2019

Reflectance of Silicon Photomultipliers at Vacuum Ultraviolet Wavelengths

P. Lv, G. F. Cao, L. J. Wen +148

Characterization of the vacuum ultraviolet (VUV) reflectance of silicon photomultipliers (SiPMs) is important for large-scale SiPM-based photodetector systems. We report the angula…

physics.ins-det201917 cited

Reflectivity and PDE of VUV4 Hamamatsu SiPMs in Liquid Xenon

P. Nakarmi, I. Ostrovskiy, A. K. Soma +152

Understanding reflective properties of materials and photodetection efficiency (PDE) of photodetectors is important for optimizing energy resolution and sensitivity of the next gen…

physics.ins-det2019

Measurement of the scintillation and ionization response of liquid xenon at MeV energies in the EXO-200 experiment

200 Collaboration, G. Anton, I. Badhrees +99

Liquid xenon (LXe) is employed in a number of current and future detectors for rare event searches. We use the EXO-200 experimental data to measure the absolute scintillation and i…

physics.ins-det2018

VUV-sensitive Silicon Photomultipliers for Xenon Scintillation Light Detection in nEXO

A. Jamil, T. Ziegler, P. Hufschmidt +140

Future tonne-scale liquefied noble gas detectors depend on efficient light detection in the VUV range. In the past years Silicon Photomultipliers (SiPMs) have emerged as a valid al…

physics.ins-det2018

Deep Neural Networks for Energy and Position Reconstruction in EXO-200

S. Delaquis, M. J. Jewell, I. Ostrovskiy +91

We apply deep neural networks (DNN) to data from the EXO-200 experiment. In the studied cases, the DNN is able to reconstruct the relevant parameters - total energy and position -…