Researchers have conducted a search for dark matter produced in association with a Z boson using CMS Run 2015D open data. The study employed Neural Spline Flows to model background and signal densities, constructing a test statistic from the log-likelihood ratio. The analysis yielded observed 95% confidence level upper limits on the signal-strength parameter for scalar, vector, and axial-vector mediators, though these limits were weaker than expected due to a background modeling discrepancy rather than evidence of dark matter. AI
IMPACT This research demonstrates a novel application of Neural Spline Flows for complex data modeling in particle physics, potentially influencing future analytical techniques.
RANK_REASON The item is a scientific paper detailing a novel application of a statistical method to a physics search. [lever_c_demoted from research: ic=1 ai=0.4]
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