Vote for your favorite mineral in #MinCup25! - Paddlewheelite vs. Mannardite
It's a battle of the tiny as bright green #paddlewheelite goes up against jet black #mannardite. Both are small yet mighty minerals, but only one can win!
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Xu, Yingru, Nahrgang, Marlene, Bernhard, Jonah E., Cao, Shanshan, Bass, Steffen A. (2017) A data-driven analysis of the heavy quark transport coefficient. Nuclear Physics A, 967. 668-671 doi:10.1016/j.nuclphysa.2017.05.035

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA data-driven analysis of the heavy quark transport coefficient
JournalNuclear Physics A
AuthorsXu, YingruAuthor
Nahrgang, MarleneAuthor
Bernhard, Jonah E.Author
Cao, ShanshanAuthor
Bass, Steffen A.Author
Year2017 (November)Volume967
PublisherElsevier BV
DOIdoi:10.1016/j.nuclphysa.2017.05.035Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID5654411Long-form Identifiermindat:1:5:5654411:6
GUID0
Full ReferenceXu, Yingru, Nahrgang, Marlene, Bernhard, Jonah E., Cao, Shanshan, Bass, Steffen A. (2017) A data-driven analysis of the heavy quark transport coefficient. Nuclear Physics A, 967. 668-671 doi:10.1016/j.nuclphysa.2017.05.035
Plain TextXu, Yingru, Nahrgang, Marlene, Bernhard, Jonah E., Cao, Shanshan, Bass, Steffen A. (2017) A data-driven analysis of the heavy quark transport coefficient. Nuclear Physics A, 967. 668-671 doi:10.1016/j.nuclphysa.2017.05.035
In(2017) Nuclear Physics A Vol. 967. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Xu, Yingru, Bernhard, Jonah E., Bass, Steffen A., Nahrgang, Marlene, Cao, Shanshan (2018) Data-driven analysis for the temperature and momentum dependence of the heavy-quark diffusion coefficient in relativistic heavy-ion collisions. Physical Review C, 97 (1). doi:10.1103/physrevc.97.014907
Bass, Steffen A., Bernhard, Jonah, Moreland, J. Scott (2017) Determination of Quark-Gluon-Plasma Parameters from a Global Bayesian Analysis. Nuclear Physics A, 967. 67-73 doi:10.1016/j.nuclphysa.2017.05.052
Ke, Weiyao, Xu, Yingru, Bass, Steffen (2021) Quantifying heavy quark transport coefficients with an improved transport model. Nuclear Physics A, 1005. 122039pp. doi:10.1016/j.nuclphysa.2020.122039
Nahrgang, Marlene, Bluhm, Marcus, Schäfer, Thomas, Bass, Steffen A. (2017) Baryon number diffusion with critical fluctuations. Nuclear Physics A, 967. 824-827 doi:10.1016/j.nuclphysa.2017.04.021
Xu, Yingru, Bass, Steffen A., Moreau, Pierre, Song, Taesoo, Nahrgang, Marlene, Bratkovskaya, Elena, Gossiaux, Pol, Aichelin, Jorg, Cao, Shanshan, Greco, Vincenzo, Coci, Gabriele, Werner, Klaus (2019) Resolving discrepancies in the estimation of heavy quark transport coefficients in relativistic heavy-ion collisions. Physical Review C, 99 (1). doi:10.1103/physrevc.99.014902
Moreland, J. Scott, Bernhard, Jonah E., Ke, Weiyao, Bass, Steffen A. (2017) Flow in small and large quark-gluon plasma droplets: the role of nucleon substructure. Nuclear Physics A, 967. 361-364 doi:10.1016/j.nuclphysa.2017.05.054
Bernhard, Jonah E., Moreland, J. Scott, Bass, Steffen A. (2017) Characterization of the initial state and QGP medium from a combined Bayesian analysis of LHC data at 2.76 and 5.02 TeV. Nuclear Physics A, 967. 293-296 doi:10.1016/j.nuclphysa.2017.05.037
Xu, Yingru, Moreau, Pierre, Song, Taesoo, Nahrgang, Marlene, Bass, Steffen A., Bratkovskaya, Elena (2017) Traces of nonequilibrium dynamics in relativistic heavy-ion collisions. Physical Review C, 96 (2). doi:10.1103/physrevc.96.024902
Nahrgang, Marlene, Aichelin, Jörg, Bass, Steffen, Gossiaux, Pol Bernard, Werner, Klaus (2014) Heavy-flavor observables at RHIC and LHC. Nuclear Physics A, 931. 575-580 doi:10.1016/j.nuclphysa.2014.08.094
Auvinen, Jussi, Karpenko, Iurii, Bernhard, Jonah E., Bass, Steffen A. (2017) Revealing the collision energy dependence of η / s in RHIC-BES Au+Au collisions using Bayesian statistics. Nuclear Physics A, 967. 784-787 doi:10.1016/j.nuclphysa.2017.05.107
Cao, Shanshan, Coci, Gabriele, Das, Santosh Kumar, Ke, Weiyao, Liu, Shuai Y. F., Plumari, Salvatore, Song, Taesoo, Xu, Yingru, Aichelin, Jörg, Bass, Steffen, Bratkovskaya, Elena, Dong, Xin, Gossiaux, Pol Bernard, Greco, Vincenzo, He, Min, Nahrgang, Marlene, Rapp, Ralf, Scardina, Francesco, Wang, Xin-Nian (2019) Toward the determination of heavy-quark transport coefficients in quark-gluon plasma. Physical Review C, 99 (5). doi:10.1103/physrevc.99.054907
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 16, 2025 12:11:18
Go to top of page