9 papers · 1 filter
Symbolic Extraction of Non-Perturbative Transverse-Momentum-Dependent Distributions from Drell-Yan Data
Cole Granger, Alessandro Bacchetta, Valerio Bertone +6
We present an analytical parametrization of the non-perturbative transverse-momentum-dependent (TMD) parton distribution function of unpolarized quarks, extracted from Drell-Yan da…
A first extraction of gluon TMDs from Higgs data at the LHC
Simone Anedda, Valerio Bertone, Giuseppe Bozzi +1
We present the first extraction of the unpolarised gluon transverse-momentum-dependent (TMD) parton distribution from Higgs-boson production data at the LHC within the framework of…
An extraction of the Collins-Soper kernel from a joint analysis of experimental and lattice data
Artur Avkhadiev, Valerio Bertone, Chiara Bissolotti +6
We present a first joint extraction of the Collins-Soper kernel (CSK) combining experimental and lattice QCD data in the context of an analysis of transverse-momentum-dependent dis…
Extraction of Dihadron Fragmentation Functions at NNLO with and without Neural Networks
Virgile Mahaut, Luca Polano, Alessandro Bacchetta +4
We present a new extraction of unpolarized Dihadron Fragmentation Functions, which describe the probability density for an unpolarized parton to fragment into a pair. Our…
A Neural-Network Extraction of Unpolarised Transverse-Momentum-Dependent Distributions
Alessandro Bacchetta, Valerio Bertone, Chiara Bissolotti +4
We present the first extraction of transverse-momentum-dependent distributions of unpolarised quarks from experimental Drell-Yan data using neural networks to parametrise their non…
One-loop matching for leading-twist generalised transverse-momentum-dependent distributions
Valerio Bertone, Miguel G. Echevarria, Óscar del Rio +1
We present the one-loop matching coefficients necessary to match all of the leading-twist generalised transverse-momentum-dependent distributions (GTMDs) onto generalised parton di…