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PDE-Foam - a probability-density estimation method using self-adapting phase-space binning
Probability-Density Estimation (PDE) is a multivariate discrimination technique based on sampling signal and background densities defined by event samples from data or Monte-Carlo (MC) simulations in a multi-dimensional phase space. To efficiently use large event samples to estimate the probability...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2008
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/j.nima.2009.05.028 http://cds.cern.ch/record/1159903 |