TY  - JOUR
TI  - Log-normal and Negative Binomial Distributions of DONUT Data
AB  - 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.
AU  - KAMIŞCIOĞLU, ÇAĞIN
DO  - 10.18466/cbayarfbe.986699
PY  - 2022
JO  - Celal Bayar Üniversitesi Fen Bilimleri Dergisi
VL  - 18
IS  - 2
SN  - 1305-130X
SP  - 181
EP  - 184
DB  - TRDizin
UR  - http://search/yayin/detay/534028
ER  -