33 citations · 104 across the 8 of their papers we have counts for
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astro-ph.CO2022★ 9 cited
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…
astro-ph.CO2018
Search for annual and diurnal rate modulations in the LUX experiment
D. S. Akerib, S. Alsum, H. M. Araújo +93
Various dark matter models predict annual and diurnal modulations of dark matter interaction rates in Earth-based experiments as a result of the Earth's motion in the halo. Observa…