A data-drive analysis for heavy quark diffusion coefficient
We apply a Bayesian model-to-data analysis on an improved Langevin framework to estimate the temperature and momentum dependence of the heavy quark diffusion coefficient in the quark-gluon plasma (QGP). The spatial diffusion coefficient is found to have a minimum around 1-3 near Tc in the zero momen...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://doi.org/10.1051/epjconf/201817118001 |
| _version_ | 1818589998792835072 |
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| author | Xu Yingru Nahrgang Marlene Cao Shanshan Bernhard Jonah E. Bass Steffen A. |
| author_facet | Xu Yingru Nahrgang Marlene Cao Shanshan Bernhard Jonah E. Bass Steffen A. |
| author_sort | Xu Yingru |
| collection | DOAJ |
| description | We apply a Bayesian model-to-data analysis on an improved Langevin framework to estimate the temperature and momentum dependence of the heavy quark diffusion coefficient in the quark-gluon plasma (QGP). The spatial diffusion coefficient is found to have a minimum around 1-3 near Tc in the zero momentum limit, and has a non-trivial momentum dependence. With the estimated diffusion coefficient, our improved Langevin
model is able to simultaneously describe the D-meson RAA and v2 in three different systems at RHIC and the LHC. |
| first_indexed | 2024-12-16T09:49:33Z |
| format | Article |
| id | doaj.art-4f9b3611c3c549d5bd2e60d617ce9742 |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-16T09:49:33Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-4f9b3611c3c549d5bd2e60d617ce97422022-12-21T22:36:07ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011711800110.1051/epjconf/201817118001epjconf_sqm2018_18001A data-drive analysis for heavy quark diffusion coefficientXu YingruNahrgang MarleneCao ShanshanBernhard Jonah E.Bass Steffen A.We apply a Bayesian model-to-data analysis on an improved Langevin framework to estimate the temperature and momentum dependence of the heavy quark diffusion coefficient in the quark-gluon plasma (QGP). The spatial diffusion coefficient is found to have a minimum around 1-3 near Tc in the zero momentum limit, and has a non-trivial momentum dependence. With the estimated diffusion coefficient, our improved Langevin model is able to simultaneously describe the D-meson RAA and v2 in three different systems at RHIC and the LHC.https://doi.org/10.1051/epjconf/201817118001 |
| spellingShingle | Xu Yingru Nahrgang Marlene Cao Shanshan Bernhard Jonah E. Bass Steffen A. A data-drive analysis for heavy quark diffusion coefficient EPJ Web of Conferences |
| title | A data-drive analysis for heavy quark diffusion coefficient |
| title_full | A data-drive analysis for heavy quark diffusion coefficient |
| title_fullStr | A data-drive analysis for heavy quark diffusion coefficient |
| title_full_unstemmed | A data-drive analysis for heavy quark diffusion coefficient |
| title_short | A data-drive analysis for heavy quark diffusion coefficient |
| title_sort | data drive analysis for heavy quark diffusion coefficient |
| url | https://doi.org/10.1051/epjconf/201817118001 |
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