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020 ▼a 9780355869255
035 ▼a (MiAaPQ)AAI10750560
035 ▼a (MiAaPQ)duke:14617
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 539
1001 ▼a Bernhard, Jonah E.
24510 ▼a Bayesian Parameter Estimation for Relativistic Heavy-ion Collisions.
260 ▼a [S.l.] : ▼b Duke University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 220 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
500 ▼a Adviser: Steffen A. Bass.
5021 ▼a Thesis (Ph.D.)--Duke University, 2018.
506 ▼a This item is not available from ProQuest Dissertations & Theses.
520 ▼a 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.
520 ▼a 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
520 ▼a 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
520 ▼a 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)(
520 ▼a 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.
590 ▼a School code: 0066.
650 4 ▼a Nuclear physics and radiation.
650 4 ▼a Computational physics.
650 4 ▼a Statistics.
690 ▼a 0756
690 ▼a 0216
690 ▼a 0463
71020 ▼a Duke University. ▼b Physics.
7730 ▼t Dissertation Abstracts International ▼g 79-09B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0066
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997109 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자