Research output: Contribution to journal › Conference article › peer-review
Reconstruction of moments of particle distributions with Identity Method at MPD. / Altsybeev, Igor; Петров, Виталий Валерьевич.
In: Journal of Physics: Conference Series, Vol. 1690, No. 1, 012124, 16.12.2020.Research output: Contribution to journal › Conference article › peer-review
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TY - JOUR
T1 - Reconstruction of moments of particle distributions with Identity Method at MPD
AU - Altsybeev, Igor
AU - Петров, Виталий Валерьевич
N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.
PY - 2020/12/16
Y1 - 2020/12/16
N2 - Precise determination of the moments of multiplicity distributions of identified particles could be challenging due to the misidentification in detectors. The so-called Identity Method allows one to solve this problem. In this contribution, performance of the Identity Method was tested on the A-A events simulated in the conditions of the MPD experiment at NICA. With this method, moments within a single kinematic window as well as coefficients of forward-backward pseudorapidity correlations are extracted.
AB - Precise determination of the moments of multiplicity distributions of identified particles could be challenging due to the misidentification in detectors. The so-called Identity Method allows one to solve this problem. In this contribution, performance of the Identity Method was tested on the A-A events simulated in the conditions of the MPD experiment at NICA. With this method, moments within a single kinematic window as well as coefficients of forward-backward pseudorapidity correlations are extracted.
UR - http://www.scopus.com/inward/record.url?scp=85098325458&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1690/1/012124
DO - 10.1088/1742-6596/1690/1/012124
M3 - Conference article
AN - SCOPUS:85098325458
VL - 1690
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012124
T2 - 5th International Conference on Particle Physics and Astrophysics, ICPPA 2020
Y2 - 5 October 2020 through 9 October 2020
ER -
ID: 88352708