Mass distributions marginalized over per-event errors
DM Santos, F Dupertuis - Nuclear Instruments and Methods in Physics …, 2014 - Elsevier
DM Santos, F Dupertuis
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2014•ElsevierWe present generalizations of the Crystal Ball function to describe mass peaks in which the
per-event mass resolution is unknown and marginalized over. The presented probability
density functions are tested using a series of toy Monte Carlo samples generated with Pythia
and smeared with different amounts of multiple scattering and for different detector
resolutions.
per-event mass resolution is unknown and marginalized over. The presented probability
density functions are tested using a series of toy Monte Carlo samples generated with Pythia
and smeared with different amounts of multiple scattering and for different detector
resolutions.
Abstract
We present generalizations of the Crystal Ball function to describe mass peaks in which the per-event mass resolution is unknown and marginalized over. The presented probability density functions are tested using a series of toy Monte Carlo samples generated with Pythia and smeared with different amounts of multiple scattering and for different detector resolutions.
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