DREENA-A framework as a QGP tomography tool
QGP tomography aims to constrain the QGP parameters by exploiting both low and high-p⊥ theory and data. With this goal in mind, we present a fully optimised framework DREENA-A based on a state-of-the-art energy loss model. The framework can include any, in principle arbitrary, temperature profile wi...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-11-01
|
| Series: | Frontiers in Physics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2022.957019/full |
| _version_ | 1811255742389288960 |
|---|---|
| author | Dusan Zigic Igor Salom Jussi Auvinen Pasi Huovinen Pasi Huovinen Magdalena Djordjevic |
| author_facet | Dusan Zigic Igor Salom Jussi Auvinen Pasi Huovinen Pasi Huovinen Magdalena Djordjevic |
| author_sort | Dusan Zigic |
| collection | DOAJ |
| description | QGP tomography aims to constrain the QGP parameters by exploiting both low and high-p⊥ theory and data. With this goal in mind, we present a fully optimised framework DREENA-A based on a state-of-the-art energy loss model. The framework can include any, in principle arbitrary, temperature profile within the dynamical energy loss formalism. Thus, “DREENA” stands for Dynamical Radiative and Elastic ENergy loss Approach, while “A” stands for Adaptive. DREENA-A does not adjust parameters within the energy loss model, allowing it to exploit differences in temperature profiles which are the only input in the framework. The framework applies to light and heavy flavor observables, different collision energies, and large and smaller systems. This, together with the ability to systematically compare data and predictions within the same formalism and parameter set, makes DREENA-A a unique multipurpose QGP tomography tool. The provided code allows researchers to use their own QGP evolution models to straightforwardly generate high-p⊥ predictions. |
| first_indexed | 2024-04-12T17:28:19Z |
| format | Article |
| id | doaj.art-9a32c8f48eed46c38570374588a09702 |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-04-12T17:28:19Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-9a32c8f48eed46c38570374588a097022022-12-22T03:23:12ZengFrontiers Media S.A.Frontiers in Physics2296-424X2022-11-011010.3389/fphy.2022.957019957019DREENA-A framework as a QGP tomography toolDusan Zigic0Igor Salom1Jussi Auvinen2Pasi Huovinen3Pasi Huovinen4Magdalena Djordjevic5Laboratory for High-Energy Physics, Institute of Physics Belgrade, University of Belgrade, Belgrade, SerbiaLaboratory for High-Energy Physics, Institute of Physics Belgrade, University of Belgrade, Belgrade, SerbiaLaboratory for High-Energy Physics, Institute of Physics Belgrade, University of Belgrade, Belgrade, SerbiaLaboratory for High-Energy Physics, Institute of Physics Belgrade, University of Belgrade, Belgrade, SerbiaIncubator of Scientific Excellence—Centre for Simulations of Superdense Fluids, University of Wrocław, Wrocław, PolandLaboratory for High-Energy Physics, Institute of Physics Belgrade, University of Belgrade, Belgrade, SerbiaQGP tomography aims to constrain the QGP parameters by exploiting both low and high-p⊥ theory and data. With this goal in mind, we present a fully optimised framework DREENA-A based on a state-of-the-art energy loss model. The framework can include any, in principle arbitrary, temperature profile within the dynamical energy loss formalism. Thus, “DREENA” stands for Dynamical Radiative and Elastic ENergy loss Approach, while “A” stands for Adaptive. DREENA-A does not adjust parameters within the energy loss model, allowing it to exploit differences in temperature profiles which are the only input in the framework. The framework applies to light and heavy flavor observables, different collision energies, and large and smaller systems. This, together with the ability to systematically compare data and predictions within the same formalism and parameter set, makes DREENA-A a unique multipurpose QGP tomography tool. The provided code allows researchers to use their own QGP evolution models to straightforwardly generate high-p⊥ predictions.https://www.frontiersin.org/articles/10.3389/fphy.2022.957019/fullrelativistic heavy ion collisionsquark-gluon plasmaQGP tomographypredictions for high-p⊥ observableslight and heavy flavor |
| spellingShingle | Dusan Zigic Igor Salom Jussi Auvinen Pasi Huovinen Pasi Huovinen Magdalena Djordjevic DREENA-A framework as a QGP tomography tool Frontiers in Physics relativistic heavy ion collisions quark-gluon plasma QGP tomography predictions for high-p⊥ observables light and heavy flavor |
| title | DREENA-A framework as a QGP tomography tool |
| title_full | DREENA-A framework as a QGP tomography tool |
| title_fullStr | DREENA-A framework as a QGP tomography tool |
| title_full_unstemmed | DREENA-A framework as a QGP tomography tool |
| title_short | DREENA-A framework as a QGP tomography tool |
| title_sort | dreena a framework as a qgp tomography tool |
| topic | relativistic heavy ion collisions quark-gluon plasma QGP tomography predictions for high-p⊥ observables light and heavy flavor |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2022.957019/full |
| work_keys_str_mv | AT dusanzigic dreenaaframeworkasaqgptomographytool AT igorsalom dreenaaframeworkasaqgptomographytool AT jussiauvinen dreenaaframeworkasaqgptomographytool AT pasihuovinen dreenaaframeworkasaqgptomographytool AT pasihuovinen dreenaaframeworkasaqgptomographytool AT magdalenadjordjevic dreenaaframeworkasaqgptomographytool |