English

Probing Initial State Clustering through Photon Anisotropic Flow in 7A TeV $^{16}$O+$^{16}$O Collisions at the LHC

Nuclear Theory 2025-09-26 v1 High Energy Physics - Phenomenology

Abstract

The presence of α\alpha clustered structures in light nuclei can enhance the initial spatial anisotropies in relativistic nuclear collisions relative to those arising from nuclei with uniform density distributions. Thus, observables that are strongly sensitive to the initial geometry can be a more efficient probe of the clustered structures than observables dominated by final state dynamics. We investigate the collisions of α\alpha clustered oxygen nuclei at sNN=7\sqrt{s_{NN}}=7A TeV at the LHC using the GLISSANDO initial state model along with the MUSIC event-by-event hydrodynamical framework. The tetrahedral α\alpha clustered structure of 16^{16}O leads to significantly larger initial triangular eccentricity ϵ3\epsilon_3 than collisions with uniform density distributions especially in the most central events. The spatial eccentricity ϵ2\epsilon_2 is found to be relatively less sensitive to the initial state clustered structure. The production of thermal photons is estimated to be only marginally influenced by clustering for both central as well as peripheral collisions. In contrast, the photon triangular flow coefficient v3(pT)v_3(p_T) is strongly affected by initial state clustering resulting in substantially larger values in both central and peripheral collisions. An experimental determination of photon anisotropic flow together with the ratios of flow coefficients in 16^{16}O+16^{16}O collisions therefore expected to provide valuable insight into the possible clustered structure in light nuclei and also to constrain parameters in theoretical modeling.

Keywords

Cite

@article{arxiv.2509.20954,
  title  = {Probing Initial State Clustering through Photon Anisotropic Flow in 7A TeV $^{16}$O+$^{16}$O Collisions at the LHC},
  author = {Sanchari Thakur and Pingal Dasgupta and Rupa Chatterjee and Sinjini Chandra and Sidharth K. Prasad},
  journal= {arXiv preprint arXiv:2509.20954},
  year   = {2025}
}

Comments

7 pages, 9 figures