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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.17817 |
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| _version_ | 1866916177958141952 |
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| author | Karmakar, Bithika Zigic, Dusan Huovinen, Pasi Djordjevic, Marko Djordjevic, Magdalena Auvinen, Jussi |
| author_facet | Karmakar, Bithika Zigic, Dusan Huovinen, Pasi Djordjevic, Marko Djordjevic, Magdalena Auvinen, Jussi |
| contents | This study investigates Quark-Gluon Plasma (QGP) in heavy-ion collisions through two avenues: high-$p_{\perp}$ frameworks and hydrodynamic modeling. Using the T$_{\text{R}}$ENTo model, we find that IP-Glasma mimicking $p=0$ value aligns well with high-$p_{\perp}$ data, in agreement with Bayesian analysis of the low-$p_{\perp}$ regime. While adjusting $p$ values may improve a fit to a particular high-$p_{\perp}$ observable, it does not permit an earlier onset of transverse expansion. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_17817 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Probing the shape of the quark-gluon plasma droplet via event-by-event QGP tomography Karmakar, Bithika Zigic, Dusan Huovinen, Pasi Djordjevic, Marko Djordjevic, Magdalena Auvinen, Jussi High Energy Physics - Phenomenology Nuclear Theory This study investigates Quark-Gluon Plasma (QGP) in heavy-ion collisions through two avenues: high-$p_{\perp}$ frameworks and hydrodynamic modeling. Using the T$_{\text{R}}$ENTo model, we find that IP-Glasma mimicking $p=0$ value aligns well with high-$p_{\perp}$ data, in agreement with Bayesian analysis of the low-$p_{\perp}$ regime. While adjusting $p$ values may improve a fit to a particular high-$p_{\perp}$ observable, it does not permit an earlier onset of transverse expansion. |
| title | Probing the shape of the quark-gluon plasma droplet via event-by-event QGP tomography |
| topic | High Energy Physics - Phenomenology Nuclear Theory |
| url | https://arxiv.org/abs/2403.17817 |