Speaker
Description
This talk addresses the large-x behavior of Transverse Momentum Dependent distributions (TMDs) through the resummation of leading logarithmic corrections to their collinear matching coefficients. Rather than working at the process level, resummation is carried out directly within the TMD framework, thereby maintaining process-independence. A notable feature of this approach is its extension to distributions that match onto twist-three collinear Parton Distribution Functions (PDFs), a class not previously treated in this context. General resummation formulas are derived for all leading power TMDs, encompassing both TMDPDFs and TMDFFs, with the sole exception of the pretzelosity distribution, whose connection to a twist-four operator places it beyond the scope of the current framework. A key outcome is that the resummation accuracy achieved here reaches N3^3LL, exceeding existing fixed-order results for several distributions. Beyond formal developments, these results have direct phenomenological impact: they accelerate perturbative convergence, provide systematic estimates of higher-order corrections, and help constrain non-perturbative inputs, offering a well-founded basis for the analysis of TMD-sensitive processes.