Szczegóły publikacji
Opis bibliograficzny
Measurements of low-$p_T$ electrons from semileptonic heavy-flavour hadron decays at mid-rapidity in $pp$ and $Pb-Pb$ collisions at $\sqrt{s_{NN}}=2.76$ TeV / S. Acharya, [et al.], P. J. Konopka, [et al.] // The Journal of High Energy Physics [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1029-8479. — 2018 — iss. 10 art. no. 61, s. [1], 1–29. — Bibliogr. s. 18–22, Abstr. — P. Konopka - afiliacja: European Organization for Nuclear Research (CERN), Geneva, Switzerland
Autorzy (1016)
- Acharya Shreyasi
- Konopka Piotr
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 132957 |
|---|---|
| Data dodania do BaDAP | 2021-03-12 |
| Tekst źródłowy | URL |
| DOI | 10.1007/JHEP10(2018)061 |
| Rok publikacji | 2018 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | The Journal of High Energy Physics |
Abstract
Transverse-momentum (p(T)) differential yields of electrons from semileptonic heavy-flavour hadron decays have been measured in the most central (0-10%) and in semi-central (20-40%) Pb-Pb collisions at TeV. The corresponding production cross section in pp collisions has been measured at the same energy with substantially reduced systematic uncertainties with respect to previously published results. The modification of the yield in Pb-Pb collisions with respect to the expectation from an incoherent superposition of nucleon-nucleon collisions is quantified at mid-rapidity (|y| < 0.8) in the p(T) interval 0.5-3 GeV/c via the nuclear modification factor, R-AA. This paper extends the p(T) reach of the R-AA measurement towards significantly lower values with respect to a previous publication. In Pb-Pb collisions the p(T)-differential measurements of yields at low p(T) are essential to investigate the scaling of heavy-flavour production with the number of binary nucleon-nucleon collisions. Heavy-quark hadronization, a collective expansion and even initial-state effects, such as the nuclear modification of the Parton Distribution Function, are also expected to have a significant effect on the measured distribution.
