Log-normal and Negative Binomial Distributions of DONUT Data

Year 2022, Volume: 18 Issue: 2, 181 - 184, 30.06.2021

Çağın Kamışcıoğlu

https://doi.org/10.18466/cbayarfbe.986699

Abstract

There are several parametric models to describe the charged particle multiplicity distributions in literature. Among them, log-normal distribution and negative binomial distribution are the most well-known parametric models. In this study, negative binomial and log-normal distributions are compared and tested in neutrino interactions produced in DONUT experiment. This analysis was carried out using the real experimental results of the DONUT Collaboration. The results of the analysis show that the neutrino data, reported by DONUT collaboration, is well described by negative binomial and log-normal distribution. In terms of fit parameters, the χ/ndf value of the both distribution NBD and LND are close to unity but log-normal distribution data slightly better than negative binomial distribution.

Keywords

Negative binomial, log-normal, multiplicity

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