A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies
We developed a deep learning feed-forward network for estimating elliptic flow (v2) coefficients in heavy-ion collisions from RHIC to LHC energies. The success of our model is mainly the estimation of v2 from final state particle kinematic information and learning the centrality and the transverse m...
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EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/01/epjconf_sqm2024_03004.pdf |
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| author | Barnaföldi Gergely Gábor Mallick Neelkamal Prasad Suraj Sahoo Raghunath Mishra Aditya Nath |
| author_facet | Barnaföldi Gergely Gábor Mallick Neelkamal Prasad Suraj Sahoo Raghunath Mishra Aditya Nath |
| author_sort | Barnaföldi Gergely Gábor |
| collection | DOAJ |
| description | We developed a deep learning feed-forward network for estimating elliptic flow (v2) coefficients in heavy-ion collisions from RHIC to LHC energies. The success of our model is mainly the estimation of v2 from final state particle kinematic information and learning the centrality and the transverse momentum (pT) dependence of v2 in wide pT regime. The deep learning model is trained with AMPT-generated Pb-Pb collisions at √sNN = 5.02 TeV minimum bias events. We present v2 estimates for π±, K±, and p + p¯ in heavy-ion collisions at various LHC energies. These results are compared with the available experimental data wherever possible. |
| format | Article |
| id | doaj-art-822b0cd33ff5430e97420b61ddbb6f1a |
| institution | Kabale University |
| issn | 2100-014X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj-art-822b0cd33ff5430e97420b61ddbb6f1a2025-02-05T10:53:01ZengEDP SciencesEPJ Web of Conferences2100-014X2025-01-013160300410.1051/epjconf/202531603004epjconf_sqm2024_03004A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC EnergiesBarnaföldi Gergely Gábor0Mallick Neelkamal1Prasad Suraj2Sahoo Raghunath3Mishra Aditya Nath4HUN-REN Wigner Research Center for PhysicsHUN-REN Wigner Research Center for PhysicsHUN-REN Wigner Research Center for PhysicsDepartment of Physics, Indian Institute of Technology IndoreUniversity Centre of Research and Development Department, Chandigarh University, GharuanWe developed a deep learning feed-forward network for estimating elliptic flow (v2) coefficients in heavy-ion collisions from RHIC to LHC energies. The success of our model is mainly the estimation of v2 from final state particle kinematic information and learning the centrality and the transverse momentum (pT) dependence of v2 in wide pT regime. The deep learning model is trained with AMPT-generated Pb-Pb collisions at √sNN = 5.02 TeV minimum bias events. We present v2 estimates for π±, K±, and p + p¯ in heavy-ion collisions at various LHC energies. These results are compared with the available experimental data wherever possible.https://www.epj-conferences.org/articles/epjconf/pdf/2025/01/epjconf_sqm2024_03004.pdf |
| spellingShingle | Barnaföldi Gergely Gábor Mallick Neelkamal Prasad Suraj Sahoo Raghunath Mishra Aditya Nath A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies EPJ Web of Conferences |
| title | A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies |
| title_full | A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies |
| title_fullStr | A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies |
| title_full_unstemmed | A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies |
| title_short | A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies |
| title_sort | deep learning based estimator for light flavour elliptic flow in heavy ion collisions at lhc energies |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2025/01/epjconf_sqm2024_03004.pdf |
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