Physicists develop sharper method to spot rare particle signals in collider noise
Researchers have created a new technique to identify faint traces of unknown particles in massive amounts of experimental data from particle colliders. The approach could accelerate discovery of dark matter and other physics beyond current models, potentially unlocking breakthroughs in fundamental science that drive long-term innovation in quantum technology and materials.
Originaltitel: Sparks in the dark
<p>This study presents a novel method for the definition of signal regions in searches for new physics at collider experiments. By leveraging multi-dimensional histograms with precise arithmetic and utilizing the SparkDensityTree library, it is possible to identify high-density regions within the available phase space, potentially improving sensitivity to very small signals. Inspired by a search for dark mesons at the ATLAS experiment, CMS open data is used for this proof-of-concept intentionally targeting an already excluded signal. Signal regions are defined based on density estimates of signal and background. These preliminary regions align well with the physical properties of the signal while effectively rejecting background events.</p>