자료유형 | 학위논문 |
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서명/저자사항 | Bayesian Parameter Estimation for Relativistic Heavy-ion Collisions. |
개인저자 | Bernhard, Jonah E. |
단체저자명 | Duke University. Physics. |
발행사항 | [S.l.]: Duke University., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 220 p. |
기본자료 저록 | Dissertation Abstracts International 79-09B(E). Dissertation Abstract International |
ISBN | 9780355869255 |
학위논문주기 | Thesis (Ph.D.)--Duke University, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Adviser: Steffen A. Bass. |
이용제한사항 | This item is not available from ProQuest Dissertations & Theses. |
요약 | I develop and apply a Bayesian method for quantitatively estimating properties of the quark-gluon plasma (QGP), an extremely hot and dense state of fluid-like matter created in relativistic heavy-ion collisions. |
요약 | The QGP cannot be directly observed---it is extraordinarily tiny and ephemeral, about 10-14 meters in size and living 10 -23 seconds before freezing into discrete particles---but it can be indirectly characterized by matching the output of a com |
요약 | In this dissertation, I construct a specific computational model of heavy-ion collisions and formulate the Bayesian parameter estimation method, which is based on general statistical techniques. I then apply these tools to estimate fundamental Q |
요약 | Perhaps most notably, I report the most precise estimate to date of the temperature-dependent specific shear viscosity eta/s, the measurement of which is a primary goal of heavy-ion physics. The estimated minimum value is eta/ s = 0.085(+0.026)( |
요약 | Other estimated quantities include the temperature-dependent bulk viscosity zeta/s, the scaling of initial state entropy deposition, and the duration of the pre-equilibrium stage that precedes QGP formation. |
일반주제명 | Nuclear physics and radiation. Computational physics. Statistics. |
언어 | 영어 |
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