393 citations · 1.8k across the 27 of their papers we have counts for
27 papers
Open-Ended Wargames with Large Language Models
Daniel P. Hogan, Andrea Brennen
Wargames are a powerful tool for understanding and rehearsing real-world decision making. Automated play of wargames using artificial intelligence (AI) enables possibilities beyond…
Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning
LUX Collaboration, D. S. Akerib, S. Alsum +97
We present the results from combining machine learning with the profile likelihood fit procedure, using data from the Large Underground Xenon (LUX) dark matter experiment. This app…
Constraints on Effective Field Theory Couplings Using 311.2 days of LUX Data
D. S. Akerib, S. Alsum, H. M. Araújo +94
We report here the results of an Effective Field Theory (EFT) WIMP search analysis using LUX data. We build upon previous LUX analyses by extending the search window to include nuc…
Discrimination of electronic recoils from nuclear recoils in two-phase xenon time projection chambers
LUX Collaboration, D. S. Akerib, S. Alsum +94
We present a comprehensive analysis of electronic recoil vs. nuclear recoil discrimination in liquid/gas xenon time projection chambers, using calibration data from the 2013 and 20…
An Effective Field Theory Analysis of the First LUX Dark Matter Search
D. S. Akerib, S. Alsum, H. M. Araújo +94
The Large Underground Xenon (LUX) dark matter search was a 250-kg active mass dual-phase time projection chamber that operated by detecting light and ionization signals from partic…
Improved Modeling of Electronic Recoils in Liquid Xenon Using LUX Calibration Data
The LUX Collaboration, D. S. Akerib, S. Alsum +96
We report here methods and techniques for creating and improving a model that reproduces the scintillation and ionization response of a dual-phase liquid and gaseous xenon time-pro…