Towards parton distribution functions with small-$x$ resummation: HELL 2.0
Marco Bonvini, Simone Marzani, Claudio Muselli

TL;DR
This paper introduces HELL 2.0, a comprehensive framework that incorporates small-$x$ resummation at NLL accuracy into PDF fits, including heavy flavor effects, to enhance the precision of parton distribution functions for collider phenomenology.
Contribution
It provides the first implementation of small-$x$ resummation at NLL accuracy matched to NNLO in a PDF fitting framework, including heavy flavor and running coupling effects.
Findings
Resummed results are accurate at NLL and matched to NNLO.
Enhanced theoretical precision enables more accurate PDF fits from DIS data.
Implementation in HELL 2.0 facilitates improved phenomenological predictions.
Abstract
In global fits of parton distribution functions (PDFs) a large fraction of data points, mostly from the HERA collider, lies in a region of and that is sensitive to small- logarithmic enhancements. Thus, the proper theoretical description of these data requires the inclusion of small- resummation. In this work we provide all the necessary ingredients to perform a PDF fit to deep-inelastic scattering (DIS) data which includes small- resummation in the evolution of PDFs and in the computation of DIS structure functions. To this purpose, not only we include the resummation of DIS massless structure functions, but we also consider the production of a massive final state (e.g. a charm quark), and the consistent resummation of mass collinear logarithms through the implementation of a variable flavour number scheme at small . As a result, we perform the small-…
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