Measurement of differential $b\bar{b}$- and $c\bar{c}$-dijet cross-sections in the forward region of $pp$ collisions at $\sqrt{s}=13 ~ \mathrm{TeV}$
LHCb collaboration: R. Aaij, C. Abell\'an Beteta, T. Ackernley, B., Adeva, M. Adinolfi, H. Afsharnia, C.A. Aidala, S. Aiola, Z. Ajaltouni, S., Akar, J. Albrecht, F. Alessio, M. Alexander, A. Alfonso Albero, Z. Aliouche,, G. Alkhazov, P. Alvarez Cartelle, S. Amato, Y. Amhis

TL;DR
This paper reports measurements of $bar{b}$ and $car{c}$ dijet production cross-sections in the forward region of proton-proton collisions at 13 TeV, providing data that agree with NLO theoretical predictions.
Contribution
First measurement of $bar{b}$ and $car{c}$ dijet cross-sections in the forward region at 13 TeV with detailed differential analysis.
Findings
Measured $bar{b}$-dijet cross-section as 53.0 ± 9.7 nb.
Measured $car{c}$-dijet cross-section as 73 ± 16 nb.
Found the ratio of $car{c}$ to $bar{b}$ cross-sections to be 1.37 ± 0.27.
Abstract
The inclusive - and -dijet production cross-sections in the forward region of collisions are measured using a data sample collected with the LHCb detector at a centre-of-mass energy of 13 TeV in 2016. The data sample corresponds to an integrated luminosity of 1.6 fb. Differential cross-sections are measured as a function of the transverse momentum and of the pseudorapidity of the leading jet, of the rapidity difference between the jets, and of the dijet invariant mass. A fiducial region for the measurement is defined by requiring that the two jets originating from the two or quarks are emitted with transverse momentum greater than 20 GeV, pseudorapidity in the range , and with a difference in the azimuthal angle between the two jets greater than 1.5. The integrated -dijet cross-section is measured to be $53.0 \pm…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
