activity
20052026
most citedFirst results from the LUX dark matter experiment at the Sanford Underground Research Facility

1.6k citations · 8.8k across the 99 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

hep-ex2022★ 38 cited

Background Determination for the LUX-ZEPLIN (LZ) Dark Matter Experiment

J. Aalbers, D. S. Akerib, A. K. Al Musalhi +200

The LUX-ZEPLIN experiment recently reported limits on WIMP-nucleus interactions from its initial science run, down to cm for the spin-independent interactio…

physics.ins-det2022★ 4 cited

Nuclear Recoil Calibration at Sub-keV Energies in LUX and Its Impact on Dark Matter Search Sensitivity

LUX Collaboration, D. S. Akerib, S. Alsum +94

Dual-phase xenon time projection chamber (TPC) detectors offer heightened sensitivities for dark matter detection across a spectrum of particle masses. To broaden their capability…

hep-ex2022★ 33 cited

The MIGDAL experiment: Measuring a rare atomic process to aid the search for dark matter

H. M. Araújo, S. N. Balashov, J. E. Borg +33

We present the Migdal In Galactic Dark mAtter expLoration (MIGDAL) experiment aiming at the unambiguous observation and study of the so-called Migdal effect induced by fast-neutron…

hep-ex2022★ 747 cited

First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment

J. Aalbers, D. S. Akerib, C. W. Akerlof +344

The LUX-ZEPLIN experiment is a dark matter detector centered on a dual-phase xenon time projection chamber operating at the Sanford Underground Research Facility in Lead, South Dak…

physics.ins-det2022★ 159 cited

A Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

J. Aalbers, K. Abe, V. Aerne +591

The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leadi…

physics.ins-det2022★ 6 cited

A machine learning-based methodology for pulse classification in dual-phase xenon time projection chambers

P. Brás, F. Neves, A. Lindote +7

Machine learning techniques are now well established in experimental particle physics, allowing detector data to be analysed in new and unique ways. The identification of signals i…