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Bayesian Parameter Estimation for Relativistic Heavy-ion Collisions

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서명/저자사항Bayesian Parameter Estimation for Relativistic Heavy-ion Collisions.
개인저자Bernhard, Jonah E.
단체저자명Duke University. Physics.
발행사항[S.l.]: Duke University., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항220 p.
기본자료 저록Dissertation Abstracts International 79-09B(E).
Dissertation Abstract International
ISBN9780355869255
학위논문주기Thesis (Ph.D.)--Duke University, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Adviser: Steffen A. Bass.
이용제한사항This item is not available from ProQuest Dissertations & Theses.
요약I 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.
요약The 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
요약In 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
요약Perhaps 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)(
요약Other 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.
일반주제명Nuclear physics and radiation.
Computational physics.
Statistics.
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