Mueller-Navelet jets at the LHC: Hunting data with azimuthal distributions
Francesco Giovanni Celiberto, Alessandro Papa
Abstract
By making use of the hybrid collinear and high-energy factorization, where the Balitsky-Fadin-Kuraev-Lipatov (BFKL) resummation of leading and next-to-leading energy logarithms is combined with the standard description in terms of collinear parton densities, we compare predictions for Mueller-Navelet jet rapidity and angular differential rates with data collected by CMS at $\sqrt{s}=7\text{ }\text{ }\mathrm{TeV}$. We provide an evidence that the study of azimuthal distributions, calculated as a Fourier sum of correlation moments and embodying the high-energy signal coming from all conformal-spin modes, permits us to overcome the well-known issues emerging in the description of Mueller-Navelet final states at natural values of the renormalization scale. We come out with a clear indication that the next-to-leading BFKL description of these observables at natural scales is valid when the rapidity interval between the two jets is large, and it allows us to catch the core high-energy dynamics emerging from data.