Thu·Jan 26, 2023Thursday·January 26, 2023

1. 01*

   Deep learning predicted elliptic flow of identified particles in heavy-ion collisions at the RHIC and LHC energies

   Neelkamal Mallick🇮🇳 · Suraj Prasad🇮🇳 · Aditya Nath Mishra🇮🇳 · Raghunath Sahoo🇮🇳 · Gergely Gábor Barnaföldi🇭🇺

   Recent developments on a deep learning feed-forward network for estimating elliptic flow ($v_2$) coefficients in heavy-ion collisions have shown us the prediction power of this technique. The success of the model is mainly the estimation of $v_2$ from final state particle kinematic information and learning the centrality and the transverse momentum ($p_{\mathrm{T}}$) dependence of $v_2$. The deep learning model is trained with Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV minimum bias events simulated with a multiphase transport model (AMPT). We extend this work to estimate $v_2$ for light-flavor identified particles such as ${\pi }^{\pm }$, ${\mathrm{K}}^{\pm }$, and $\mathrm{p}+\bar{\mathrm{p}}$ in heavy-ion collisions at RHIC and LHC energies. The number of constituent quark (NCQ) scaling is also shown. The evolution of $p_{\mathrm{T}}$-crossing point of $v_2(p_{\mathrm{T}})$, depicting a change in meson-baryon elliptic flow at intermediate-$p_{\mathrm{T}}$, is studied for various collision systems and energies. The model is further evaluated by training it for different $p_{\mathrm{T}}$ regions. These results are compared with the available experimental data wherever possible.

   ↳ hep-phhep-exnucl-exnucl-thPRD(2023)·23 citations
2. 02*

   Momentum dependent flow correlations in deformed nuclei at collision energies available at the BNL Relativistic Heavy Ion Collider

   Rupam Samanta🇵🇱 · Piotr Bozek🇵🇱

   Flow fluctuations in ultra-relativistic heavy-ion collision can be probed by studying the momentum dependent correlations or the factorization-breaking coefficients between flow harmonics in separate kinematic bins (transverse momentum or pseudorapidity). We study such factorization-breaking coefficients for collisions of deformed U+U nuclei to see the effect of the nuclear deformation on momentum dependent coefficients. We also study momentum dependent mixed-flow correlations for the isobar collision system : Ru+Ru and Zr+Zr, which have the same mass number but different nuclear structure, thus providing the ideal scenario to study nuclear deformation effect on such observables. We use the TRENTO + MUSIC model for simulations and event-by-event analysis of those observables. We find that these momentum dependent correlation coefficients are not only excellent candidates to probe the fluctuation in heavy-ion collision, but also show significant sensitivity to the nuclear deformation.

   ↳ nucl-thnucl-exPRC(2023)·16 citations

* Reconstructed cohort: no mailing for this day survives in the archive. Papers are grouped by their submission times and arXiv's announcement cut-off, assuming announcement without delay; positions follow identifier order. Validated at ~91% exact-day agreement against the archived era.