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Bayesian Parameter Estimation for Relativistic Heavy-ion Collisions

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자료유형	E-Book
개인저자	Bernhard, Jonah E.
단체저자명	Duke University. Physics.
서명/저자사항	Bayesian Parameter Estimation for Relativistic Heavy-ion Collisions.
발행사항	[S.l.] : Duke University., 2018
발행사항	Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항	220 p.
소장본 주기	School code: 0066.
ISBN	9780355869255
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
기본자료 저록	Dissertation Abstracts International79-09B(E). Dissertation Abstract International
대출바로가기	http://www.riss.kr/pdu/ddodLink.do?id=T14997109