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20002025
most citedFirst Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment

747 citations · 6k across the 102 of their papers we have counts for

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physics.ins-det2025

Description of CRESST-II and CRESST-III pulse shape data

G. Angloher, S. Banik, D. Bartolot +62

A set of data from 68 cryogenic detectors operated in the CRESST dark matter search experiment between 2013 and 2019 was collected and labeled to train binary classifiers for data…

physics.ins-det2025

Observation of a low energy nuclear recoil peak in the neutron calibration data of an AlO crystal in CRESST-III

CRESST Collaboration, G. Angloher, S. Banik +59

The current generation of cryogenic solid state detectors used in direct dark matter and CE\textnu NS searches typically reach energy thresholds of (10)eV for nucl…

physics.ins-det2024★ 12 cited

DoubleTES detectors to investigate the CRESST low energy background: results from above-ground prototypes

G. Angloher, S. Banik, G. Benato +55

In recent times, the sensitivity of low-mass direct dark matter searches has been limited by unknown low energy backgrounds close to the energy threshold of the experiments known a…

physics.ins-det2023

Optimal operation of cryogenic calorimeters through deep reinforcement learning

G. Angloher, S. Banik, G. Benato +59

Cryogenic phonon detectors with transition-edge sensors achieve the best sensitivity to light dark matter-nucleus scattering in current direct detection dark matter searches. In su…

physics.ins-det2023★ 6 cited

Detector development for the CRESST experiment

G. Angloher, S. Banik, G. Benato +55

Recently low-mass dark matter direct searches have been hindered by a low energy background, drastically reducing the physics reach of the experiments. In the CRESST-III experiment…

physics.ins-det2023

High-Dimensional Bayesian Likelihood Normalisation for CRESST's Background Model

G. Angloher, S. Banik, G. Benato +59

Using CaWO crystals as cryogenic calorimeters, the CRESST experiment searches for nuclear recoils caused by the scattering of potential Dark Matter particles. A reliable identi…