3 papers
hep-ph2026
Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model
Juan M. Cruz-Martinez, Tommaso Giani, Tanjona R. Rabemananjara
We present a new automated procedure for selecting fitting methodologies in the determination of parton distribution functions (PDFs), based on a hyperoptimisation algorithm using…
hep-ph2026
On the positivity of MSbar parton distributions
Alessandro Candido, Stefano Forte, Tommaso Giani +1
We revisit our argument that shows that parton distribution Functions (PDFs) in the MSbar{ scheme are non-negative in the perturbative region, with the main goals of elucidating it…
hep-ph2026
Parton distribution functions and theory parameters: an NNPDF perspective
Richard D. Ball, Tommaso Giani, Felix Hekhorn +5
Parton Distribution Functions (PDFs) are a key ingredient in theoretical predictions for Large Hadron Collider (LHC) observables and play a central role in the extraction of precis…