Measurement of the production of (anti)nuclei in p–Pb collisions at <math altimg="si1.svg"><msqrt><mrow><msub><mrow><mi>s</mi></mrow><mrow><mi mathvariant="normal">NN</mi></mrow></msub></mrow></msqrt><mo linebreak="goodbreak" linebreakstyle="after">=</mo><mn>8.16</mn><mspace width="0.25em"/><mtext>TeV</mtext></math> - INSPIRE

DataBETA

Measurement of the production of (anti)nuclei in p–Pb collisions at $\sqrt{s_{NN}} = 8.16 TeV$

ALICE

Collaboration

Dec 9, 2022

17 pages

Published in:

Phys.Lett.B 846 (2023) 137795

Published: Sep 15, 2023

e-Print:

2212.04777 [nucl-ex]

DOI:

10.1016/j.physletb.2023.137795 (publication)

Report number:

CERN-EP-2022-275

Experiments:

CERN-LHC-ALICE

View in:

reference search14 citations

Citations per year

Abstract: (Elsevier B.V.)

Measurements of (anti)proton, (anti)deuteron, and (anti)³He production in the rapidity range

- 1 < y < 0

as a function of the transverse momentum and event multiplicity in p–Pb collisions at a center-of-mass energy per nucleon–nucleon pair

\sqrt{s_{NN}} = 8.16 TeV

are presented. The coalescence parameters

B_{2}

and

B_{3}

, measured as a function of the transverse momentum per nucleon and of the mean charged-particle multiplicity density, confirm a smooth evolution from low to high multiplicity across different collision systems and energies. The ratios between (anti)deuteron and (anti)³He yields and those of (anti)protons are also reported as a function of the mean charged-particle multiplicity density. A comparison with the predictions of the statistical hadronization and coalescence models for different collision systems and center-of-mass energies favors the coalescence description for the deuteron-to-proton yield ratio with respect to the canonical statistical model.

Note:

27 pages, 4 captioned figures, 3 tables, authors from page 22, published version, figures at http://alice-publications.web.cern.ch/node/8796

charged particle: multiplicity
multiplicity: density
hadronization: statistical
model: coalescence
yield: ratio
nucleus: production
model: statistical
multiplicity: high
particle identification
time-of-flight

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