Thermo-coalescence model for light nuclei production in relativistic heavy-ion collisions

Abstract We employ a hybrid approach to describe the light nuclei production mechanism where the nucleons are assumed to be thermally produced, and are allowed to form light nuclei using a coalescence prescription. In this approach, we first fit transverse momentum ( $$p_{T}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>p</mml:mi> <mml:mi>T</mml:mi> </mml:msub> </mml:math> ) distribution of nucleons using hydro-inspired boost-invariant Blast-wave model. The extracted parameters are then used to describe the deuteron $$p_{T}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>p</mml:mi> <mml:mi>T</mml:mi> </mml:msub> </mml:math> spectra, along with two additional parameters that characterize the coalescence prescription employed in this study. We refer this combined approach as “thermo-coalescence model” and it is designed to study the deuteron production and describe the experimental measurements. In this work, we analyze the measured $$p_{T}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>p</mml:mi> <mml:mi>T</mml:mi> </mml:msub> </mml:math> distribution of protons and deuterons from Pb–Pb collisions at the ALICE Collaboration at the LHC. We also evaluate the $$p_{T}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>p</mml:mi> <mml:mi>T</mml:mi> </mml:msub> </mml:math> -integrated deuteron yields using this approach and compare with experimental measurements. A Bayesian inference framework is employed to determine the best-fit parameters of the thermo-coalescence model. Finally, we estimate the traditionally used experimental coalescence parameter ( $$B_{A}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>B</mml:mi> <mml:mi>A</mml:mi> </mml:msub> </mml:math> ) within our framework in order to establish a connection between our model and the conventional coalescence approach commonly used to relate experimental data with theoretical descriptions of light nuclei production.

Authors

Institutions

Publication Details

Journal
The European Physical Journal C
Published
2025-11-26
DOI
https://doi.org/10.1140/epjc/s10052-025-15082-0
Primary Topic
High-Energy Particle Collisions Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermo-coalescence model for light nuclei production in relativistic heavy-ion collisions

Amaresh Jaiswal, Partha Pratim Bhaduri, Abhijit Bhattacharyya, S. P. Rode et al.
The European Physical Journal C
High-Energy Particle Collisions Research
article

Thermo-coalescence model for light nuclei production in relativistic heavy-ion collisions

Amaresh Jaiswal, Partha Pratim Bhaduri, Abhijit Bhattacharyya, S. P. Rode, Arun Kumar Yadav, Nachiketa Sarkar
article en

Abstract

Abstract We employ a hybrid approach to describe the light nuclei production mechanism where the nucleons are assumed to be thermally produced, and are allowed to form light nuclei using a coalescence prescription. In this approach, we first fit transverse momentum ( $$p_{T}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>p</mml:mi> <mml:mi>T</mml:mi> </mml:msub> </mml:math> ) distribution of nucleons using hydro-inspired boost-invariant Blast-wave model. The extracted parameters are then used to describe the deuteron $$p_{T}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>p</mml:mi> <mml:mi>T</mml:mi> </mml:msub> </mml:math> spectra, along with two additional parameters that characterize the coalescence prescription employed in this study. We refer this combined approach as “thermo-coalescence model” and it is designed to study the deuteron production and describe the experimental measurements. In this work, we analyze the measured $$p_{T}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>p</mml:mi> <mml:mi>T</mml:mi> </mml:msub> </mml:math> distribution of protons and deuterons from Pb–Pb collisions at the ALICE Collaboration at the LHC. We also evaluate the $$p_{T}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>p</mml:mi> <mml:mi>T</mml:mi> </mml:msub> </mml:math> -integrated deuteron yields using this approach and compare with experimental measurements. A Bayesian inference framework is employed to determine the best-fit parameters of the thermo-coalescence model. Finally, we estimate the traditionally used experimental coalescence parameter ( $$B_{A}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>B</mml:mi> <mml:mi>A</mml:mi> </mml:msub> </mml:math> ) within our framework in order to establish a connection between our model and the conventional coalescence approach commonly used to relate experimental data with theoretical descriptions of light nuclei production.

The European Physical Journal CVol. 85(11)
University of Calcutta (IN), Variable Energy Cyclotron Centre (IN), National Institute of Science Education and Research (IN), Homi Bhabha National Institute (IN), Joint Institute for Nuclear Research (RU), Institute for Nuclear Research (RU), Indian Institute of Science Education and Research Berhampur (IN)
Openalex Percentile: Top 84%
High-Energy Particle Collisions Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.