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19912026
most citedA New Method for Combining NLO QCD with Shower Monte Carlo Algorithms

2.8k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2007 · hep-phShow all

12 papers · 2 filters

hep-ph2007★ 19 cited

Effective Field Theories for Heavy Quarkonium

Nora Brambilla

We briefly review how nonrelativistic effective field theories give us a definition of the QCD potentials and a coherent field theory derived quantum mechanical scheme to calculate…

hep-ph2007

Nuclear physics inputs needed for geo-neutrino studies

G. Bellini, G. Fiorentini, A. Ianni +3

Geo-neutrino studies are based on theoretical estimates of geo-neutrino spectra. We propose a method for a direct measurement of the energy distribution of antineutrinos from decay…

hep-ph2007★ 208 cited

Precision electroweak calculation of the production of a high transverse-momentum lepton pair at hadron colliders

C. M. Carloni Calame, G. Montagna, O. Nicrosini +1

We present a detailed study of the production of a high transverse-momentum lepton pair at hadron colliders, which includes the exact O(alpha) electroweak corrections properly matc…

hep-ph2007★ 118 cited

Scalar Particle Contribution to Higgs Production via Gluon Fusion at NLO

R. Bonciani, G. Degrassi, A. Vicini

We consider the gluon fusion production cross section of a scalar Higgs boson in models where fermion and scalar massive colored particles are present. We report analytic expressio…

hep-ph2007★ 21 cited

A new prescription for soft gluon resummation

Riccardo Abbate, Stefano Forte, Giovanni Ridolfi

We present a new prescription for the resummation of the divergent series of perturbative corrections, due to soft gluon emission, to hard processes near threshold in perturbative…

hep-ph2007★ 69 cited

QCD coupling below 1 GeV from quarkonium spectrum

M. Baldicchi, A. V. Nesterenko, G. M. Prosperi +1

In this paper we extend the work synthetically presented in Ref.[1] and give theoretical details and complete tables of numerical results. We exploit calculations within a Bethe-Sa…

hep-ph2007★ 79 cited

Bound state approach to the QCD coupling at low energy scales

M. Baldicchi, A. V. Nesterenko, G. M. Prosperi +2

We exploit theoretical results on the meson spectrum within the framework of a Bethe-Salpeter (BS) formalism adjusted for QCD, in order to extract an ``experimental'' coupling α_s^…

hep-ph2007★ 48 cited

A new, very massive modular Liquid Argon Imaging Chamber to detect low energy off-axis neutrinos from the CNGS beam. (Project MODULAr)

B. Baibussinov, M. Baldo Ceolin, G. Battistoni +33

The paper is considering an opportunity for the CERN/GranSasso (CNGS) neutrino complex, concurrent time-wise with T2K and NOvA, to search for theta_13 oscillations and CP violation…

hep-ph2007★ 37 cited

BFKL at Next-to-Next-to-Leading Order

Simone Marzani, Richard D. Ball, Pietro Falgari +1

We determine an approximate expression for the O(alpha_s^3) contribution chi_2 to the kernel of the BFKL equation, which includes all collinear and anticollinear singular contribut…

hep-ph2007★ 43 cited

Extraction of alpha_s from radiative Upsilon(1S) decays

Nora Brambilla, Xavier Garcia i Tormo, Joan Soto +1

We improve on a recent determination of alpha_s from Gamma(Upsilon(1S)-->X gamma)/Gamma(Upsilon(1S)-->X) with CLEO data by taking into account color octet contributions and avoidin…

hep-ph2007★ 5 cited

Tests of the Standard Model with Low-Energy Neutrino Beams

V. Antonelli, G. Battistoni, P. Ferrario +1

We discuss the possibility of using future high--intensity low--energy neutrino beams for precision tests of the Standard Model. In particular we consider the determination of the…

hep-ph2007★ 108 cited

Neural network determination of parton distributions: the nonsinglet case

The NNPDF Collaboration, Luigi Del Debbio, Stefano Forte +3

We provide a determination of the isotriplet quark distribution from available deep--inelastic data using neural networks. We give a general introduction to the neural network appr…