cern.ch

Measurement of $B_c^+$ production in proton-proton collisions at $\sqrt{s}=8$ TeV

[to restricted-access page]

Abstract

Production of $B_c^+$ mesons in proton-proton collisions at a center-of-mass energy of 8 TeV is studied with data corresponding to an integrated luminosity of $2.0 {\rm fb}^{-1}$ recorded by the LHCb experiment. The ratio of production cross-sections times branching fractions between the $B_c^+\to J/\psi \pi^+$ and $B^+\to J/\psi K^+$ decays is measured as a function of transverse momentum and rapidity in the regions $0 < p_{\rm T} < 20 {\rm GeV}/c$ and $2.0 < y < 4.5$. The ratio in this kinematic range is measured to be $(0.683\pm0.018\pm0.009)\%$, where the first uncertainty is statistical and the second systematic.

Figures and captions

Invariant mass distribution of ({\it left}) $ B_c^+\rightarrow { J \mskip -3mu/\mskip -2mu\psi \mskip 2mu} \pi^+$ and ({\it right}) $ B ^+ \rightarrow { J \mskip -3mu/\mskip -2mu\psi \mskip 2mu} K^+$ candidates with $2.0< p_{\rm T} <3.0 {\mathrm{\,GeV\!/}c} $ and $2.0<y<2.9$. The results of the fit described in the text are superimposed.

Fig1a.pdf [19 KiB]
HiDef png [305 KiB]
Thumbnail [111 KiB]
*.C file
Fig1a.pdf
Fig1b.pdf [25 KiB]
HiDef png [268 KiB]
Thumbnail [98 KiB] *.C file
Fig1b.pdf
Fig2a.pdf [15 KiB]
HiDef png [143 KiB]
Thumbnail [64 KiB] *.C file
Fig2a.pdf
Fig2b.pdf [16 KiB]
HiDef png [139 KiB]
Thumbnail [61 KiB] *.C file
Fig2b.pdf

Ratio $R( p_{\rm T},y)$ as a function of $ p_{\rm T} $ in the regions ({\it top}) $2.0<y<2.9$, ({\it middle}) $2.9<y<3.3$, and ({\it bottom}) $3.3<y<4.5$. The error bars on the data show the statistical and systematic uncertainties added in quadrature.

Fig3.pdf [17 KiB]
HiDef png [117 KiB]
Thumbnail [33 KiB]
*.C file
Fig3.pdf

Ratio ({\it left}) $R( p_{\rm T})$ as a function of $ p_{\rm T}$ integrated over $y$ in the region $2.0<y<$4.5 and ({\it right}) $R(y)$ as a function of $y$ integrated over $ p_{\rm T}$ in the region $0< p_{\rm T} <20 {\mathrm{\,GeV\!/}c} $. The error bars on the data show the statistical and systematic uncertainties added in quadrature.

Fig4a.pdf [13 KiB]
HiDef png [61 KiB]
Thumbnail [17 KiB]
*.C file
Fig4a.pdf
Fig4b.pdf [13 KiB]
HiDef png [49 KiB]
Thumbnail [13 KiB] *.C file
Fig4b.pdf

Ratio $R( p_{\rm T},y)$ as a function of $ p_{\rm T} $ in the regions $2.0<y<2.9$ ({\it top left}), $2.9<y<3.3$ ({\it top right}), and $3.3<y<4.5$ ({\it bottom left}), with theoretical predictions following the $\alpha_s^4$ approach [43] overlaid.

Fig5a.pdf [14 KiB]
HiDef png [131 KiB]
Thumbnail [57 KiB]
*.C file
Fig5a.pdf
Fig5b.pdf [14 KiB]
HiDef png [130 KiB]
Thumbnail [56 KiB] *.C file
Fig5b.pdf
Fig5c.pdf [14 KiB]
HiDef png [126 KiB]
Thumbnail [56 KiB] *.C file
Fig5c.pdf

Ratio $R( p_{\rm T})$ as a function of $ p_{\rm T}$ integrated over $y$ in the region 2.0$<y<$4.5 ({\it left}) and $R(y)$ as a function of $y$ integrated over $ p_{\rm T}$ in the region 0$< p_{\rm T} <20 {\mathrm{\,GeV\!/}c} $ ({\it right}) are compared to the theoretical predictions following the $\alpha_s^4$ approach [43].

Fig6a.pdf [14 KiB]
HiDef png [124 KiB]
Thumbnail [53 KiB]
*.C file
Fig6a.pdf
Fig6b.pdf [14 KiB]
HiDef png [99 KiB]
Thumbnail [44 KiB] *.C file
Fig6b.pdf

Animated gif made out of all figures.

PAPER-2014-050.gif
Thumbnail
thumbnail_PAPER-2014-050.gif

Tables and captions

$R( p_{\rm T},y)$ in units of $10^{-2}$ as a function of $ p_{\rm T}$ and $y$. The first uncertainty is statistical and the second systematic.

Table_1.pdf [35 KiB]
HiDef png [112 KiB]
Thumbnail [16 KiB]
tex code
Table_1.pdf

Supplementary Material [file]

Supplementary material full pdf

supple[..].pdf [201 KiB]
supplementary.pdf
Fig5a.pdf [14 KiB]
HiDef png [131 KiB]
Thumbnail [57 KiB]
*C file
Fig5a.pdf
Fig5b.pdf [14 KiB]
HiDef png [130 KiB]
Thumbnail [56 KiB]
*C file
Fig5b.pdf
Fig5c.pdf [14 KiB]
HiDef png [126 KiB]
Thumbnail [56 KiB]
*C file
Fig5c.pdf
Fig6a.pdf [14 KiB]
HiDef png [124 KiB]
Thumbnail [53 KiB]
*C file
Fig6a.pdf
Fig6b.pdf [14 KiB]
HiDef png [99 KiB]
Thumbnail [44 KiB]
*C file
Fig6b.pdf

Created on 09 December 2018.Citation count from INSPIRE on 09 December 2018.