Mass distributions marginalized over per-event errors

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. (C) 2014 Elsevier B.V. All rights reserved.


Published in:
Nuclear Instruments & Methods In Physics Research Section A, 764, 150-155
Year:
2014
Publisher:
Amsterdam, Elsevier Science Bv
Keywords:
Laboratories:




 Record created 2014-10-23, last modified 2018-09-13


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