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Multiplicity Distributions and Modified Combinants in the Multipomeron Model of pp Interaction at High Energies. / Вечернин, Владимир Викторович; Андронов, Евгений Владимирович; Коваленко, Владимир Николаевич; Пучков, Андрей Михайлович.

в: Universe, Том 10, № 2, 56, 26.01.2024, стр. 56.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

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@article{3345a6b0678441d1be5cb74c723bf980,
title = "Multiplicity Distributions and Modified Combinants in the Multipomeron Model of pp Interaction at High Energies",
abstract = "The multiplicity distributions of charged particles and their combinants for pp collisions at LHC energies are studied within the Multipomeron Exchange Model (MEM) that takes into account the phenomenon of string fusion. It is shown that the use of Gaussian-type distributions for multiplicity distributions at a fixed number of pomerons allows, within the MEM framework, the reproduction of the resulting multiplicity distributions and the oscillatory behavior of combinants, found in the ALICE and CMS pp collision data at LHC energies. It is important that in the proposed approach, the parameters of these Gaussian-type distributions are not considered free, but are calculated from the two-particle correlation function of a single string.",
keywords = "strong interaction, high energy, multiparticle production, multiplicity, pomeron, string fusion, two-particle correlations, combinants",
author = "Вечернин, {Владимир Викторович} and Андронов, {Евгений Владимирович} and Коваленко, {Владимир Николаевич} and Пучков, {Андрей Михайлович}",
note = "Universe 2024, 10(2), 56",
year = "2024",
month = jan,
day = "26",
doi = "10.3390/universe10020056",
language = "English",
volume = "10",
pages = "56",
journal = "Universe",
issn = "2218-1997",
publisher = "MDPI AG",
number = "2",

}

RIS

TY - JOUR

T1 - Multiplicity Distributions and Modified Combinants in the Multipomeron Model of pp Interaction at High Energies

AU - Вечернин, Владимир Викторович

AU - Андронов, Евгений Владимирович

AU - Коваленко, Владимир Николаевич

AU - Пучков, Андрей Михайлович

N1 - Universe 2024, 10(2), 56

PY - 2024/1/26

Y1 - 2024/1/26

N2 - The multiplicity distributions of charged particles and their combinants for pp collisions at LHC energies are studied within the Multipomeron Exchange Model (MEM) that takes into account the phenomenon of string fusion. It is shown that the use of Gaussian-type distributions for multiplicity distributions at a fixed number of pomerons allows, within the MEM framework, the reproduction of the resulting multiplicity distributions and the oscillatory behavior of combinants, found in the ALICE and CMS pp collision data at LHC energies. It is important that in the proposed approach, the parameters of these Gaussian-type distributions are not considered free, but are calculated from the two-particle correlation function of a single string.

AB - The multiplicity distributions of charged particles and their combinants for pp collisions at LHC energies are studied within the Multipomeron Exchange Model (MEM) that takes into account the phenomenon of string fusion. It is shown that the use of Gaussian-type distributions for multiplicity distributions at a fixed number of pomerons allows, within the MEM framework, the reproduction of the resulting multiplicity distributions and the oscillatory behavior of combinants, found in the ALICE and CMS pp collision data at LHC energies. It is important that in the proposed approach, the parameters of these Gaussian-type distributions are not considered free, but are calculated from the two-particle correlation function of a single string.

KW - strong interaction

KW - high energy

KW - multiparticle production

KW - multiplicity

KW - pomeron

KW - string fusion

KW - two-particle correlations

KW - combinants

UR - https://www.mendeley.com/catalogue/490d24a6-fa02-3601-850a-b87f6bab0f33/

U2 - 10.3390/universe10020056

DO - 10.3390/universe10020056

M3 - Article

VL - 10

SP - 56

JO - Universe

JF - Universe

SN - 2218-1997

IS - 2

M1 - 56

ER -

ID: 116667440