Thermal photons as a sensitive probe of $$\alpha $$-cluster in C + Au collisions at the BNL Relativistic Heavy Ion Collider

Dasgupta, Pingal; Ma, Guo-Liang; Chatterjee, Rupa; Yan, Li; Zhang, Song; Ma, Yugang

doi:10.1140/epja/s10050-021-00441-8

Cited by 14 publications

(6 citation statements)

References 79 publications

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“…However, a smaller T f increases the photon v 2 and v 3 in the entire p T region. We have studied v 1 /v n with different T f for C+Au collisions at RHIC [11], and we observe a significant change for v 1 /v 2 with lower T f . Such behaviour is expected as v 2 in contrary to v 1 and v 3 is very sensitive to the hadronic phase [10,26].…”

Section: Formation Time and Freeze-out Conditionsmentioning

confidence: 86%

“…The anisotropic flow of photons produced in relativistic heavy ion collisions can be a potential observable to study the initial state and the evolution of the hot and dense medium formed in such collisions [1][2][3][4][5][6][7][8][9][10][11]. The main advantage of studying direct photon observables in heavy ion collisions is that their emission is quite sensitive to the initial state of the produced matter [12].…”

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confidence: 99%

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Anisotropic flow of photons in relativistic heavy ion collisions

Chatterjee

2021

Pramana - J Phys

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Section: Formation Time and Freeze-out Conditionsmentioning

confidence: 86%

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confidence: 99%

Anisotropic flow of photons in relativistic heavy ion collisions

Chatterjee

2021

Pramana - J Phys

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“…Electromagnetic radiation can be a useful probe to study clustered structures in light nuclei due to their strong sensitivity to the initial state [98,99].…”

Section: Ratio Of Anisotropic Flow In the Presence Of Clustered Struc...mentioning

confidence: 99%

Probing Relativistic Heavy-Ion Collisions via Photon Anisotropic Flow Ratios. A Brief Review

Chatterjee,

Dasgupta

2024

Physics

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The anisotropic flow of photons produced in relativistic nuclear collisions is known as a promising observable for studying the initial state and the subsequent evolution of the hot and dense medium formed in such collisions. The investigation of photon anisotropic flow coefficients, vn, has attracted high interest over the last decade, involving both theory and experiment. The thermal emission of photons and their anisotropic flow are found to be highly sensitive to the initial state of the fireball, where even slight modifications can lead to significant variations in the final state results. In contrast, the ratio of photon anisotropic flow stands out as a robust observable, exhibiting minimal sensitivity to the initial conditions. Here, we briefly review the studies of the individual elliptic and triangular flow parameters of photons as well as their ratios and how these parameters serve as valuable probes for investigating the intricacies of the initial state and addressing the challenges posed by the direct photon puzzle.

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“…It can be expected that the shape of the created fireball in the transverse plane reflects the initial geometry of the light nucleus, because the interaction time is short enough to prevent the much slower nuclear excitation at ultrahigh collision energies. In our previous works, we investigated initial geometry effects on elliptic and triangular flows and their fluctuations, Hanbury Brown-Twiss (HBT) correlations as well as electromagnetic fields in 12 C + 197 Au collisions [22][23][24][25][26][27][28]. It turns out that the difference of the second-order and third-order anisotropy could be clearly observed among spherical structure, clustered triangle and clustered chain.…”

Section: Introductionmentioning

confidence: 99%

Machine-learning-based identification for initial clustering structure in relativistic heavy-ion collisions

He,

et al. 2021

Preprint

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α-clustering structure is a significant topic in light nuclei. A Bayesian convolutional neural network (BCNN) is applied to classify initial non-clustered and clustered configurations, namely Woods-Saxon distribution and three-α triangular (four-α tetrahedral) structure for 12 C ( 16 O), from heavyion collision events generated within a multi-phase transport (AMPT) model. Azimuthal angle and transverse momentum distributions of charged pions are taken as inputs to train the classifier. On multiple-event basis, the overall classification accuracy can reach 95% for 12 C/ 16 O + 197 Au events at √ SNN = 200 GeV. With proper constructions of samples, the predicted deviations on mixed samples with different proportions of both configurations could be within 5%. In addition, setting a simple confidence threshold can further improve the predictions on the mixed dataset. Our results indicate promising and extensive possibilities of application of machine-learning-based techniques to real data and some other problems in physics of heavy-ion collisions.

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Thermal photons as a sensitive probe of $$\alpha $$-cluster in C + Au collisions at the BNL Relativistic Heavy Ion Collider

Cited by 14 publications

References 79 publications

Anisotropic flow of photons in relativistic heavy ion collisions

Anisotropic flow of photons in relativistic heavy ion collisions

Probing Relativistic Heavy-Ion Collisions via Photon Anisotropic Flow Ratios. A Brief Review

Machine-learning-based identification for initial clustering structure in relativistic heavy-ion collisions

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