arXiv · nucl-ex/9612001
Separating True V0's from Combinatoric Background with a Neural Network
Abstract
A feedforward multilayered neural network has been trained to "recognize" true V0's in the presence of a large combinatoric background using simulated data for 2 GeV/nucleon Ni + Cu interactions. The resulting neural network filter has been applied to actual data from the EOS TPC experiment. An enhancement of signal to background over more traditional selection mechanisms has been observed.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Marvin Justice. 1996-12-02. Separating True V0's from Combinatoric Background with a Neural Network. https://doi.org/10.1016/s0168-9002(97)00995-9
Cite the original work for its findings. Save a collection to share your selection of sources.