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Strange and Non-Strange D-meson Production in pp, p-Pb, and Pb-Pb Collisions with ALICE at the LHC

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Strange and Non-Strange D-meson Production in pp, p-Pb, and Pb-Pb Collisions with ALICE at the LHC/ by Fabrizio Grosa.
作者:	Grosa, Fabrizio.
面頁冊數:	XVI, 215 p. 128 illus., 125 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Nuclear physics. -
電子資源:	https://doi.org/10.1007/978-3-030-71131-3
ISBN:	9783030711313

Strange and Non-Strange D-meson Production in pp, p-Pb, and Pb-Pb Collisions with ALICE at the LHC
Grosa, Fabrizio.

Strange and Non-Strange D-meson Production in pp, p-Pb, and Pb-Pb Collisions with ALICE at the LHC[electronic resource] /by Fabrizio Grosa. - 1st ed. 2021. - XVI, 215 p. 128 illus., 125 illus. in color.online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5061. - Springer Theses, Recognizing Outstanding Ph.D. Research,.

High-Energy Nuclear Physics -- Open Heavy-Flavour Physics -- ALICE: A Large Ion Collider Experiment -- D+ and D+s Reconstruction Strategy in pp, p–Pb and Pb–Pb Collisions.

This thesis provides a comprehensive view of the physics of charmed hadrons in high-energy proton-proton and heavy-ion collisions. Given their large masses, charm quarks are produced in the early stage of a heavy-ion collision and they subsequently experience the full system evolution probing the colour-deconfined medium called quark-gluon plasma (QGP) created in such collisions. In this thesis, the mechanisms of charm-quark in-medium energy loss and hadronisation are discussed via the measurements of the production of charm mesons with (Ds+) and without (D+) strange-quark content in different colliding systems, using data collected by the ALICE experiment at the CERN LHC. The participation of the charm quark and its possible thermalisation in the QGP are studied via measurements of azimuthal anisotropies in the production of D+ mesons. Finally, the prospects for future measurements with the upgraded ALICE experimental apparatus and with more refined machine learning techniques are presented.

ISBN: 9783030711313

Standard No.: 10.1007/978-3-030-71131-3doiSubjects--Topical Terms:

591618
Nuclear physics.

LC Class. No.: QC770-798

Dewey Class. No.: 539.7

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