1 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
Colibri: A new tool for fast-flying PDF fits
Mark N. Costantini, Luca Mantani, James M. Moore +2
We present Colibri, an open-source Python code that provides a general and flexible tool for PDF fits. The code is built so that users can implement their own PDF model, and use th…
A linear PDF model for Bayesian inference
Mark N. Costantini, Luca Mantani, James M. Moore +1
A robust uncertainty estimate in global analyses of Parton Distribution Functions (PDFs) is essential at the Large Hadron Collider (LHC), especially in view of the high-precision d…
Evaluating the faithfulness of PDF uncertainties in the presence of inconsistent data
Andrea Barontini, Mark N. Costantini, Giovanni De Crescenzo +2
We critically assess the robustness of uncertainties on parton distribution functions (PDFs) determined using neural networks from global sets of experimental data collected from m…
Parton distributions confront LHC Run II data: a quantitative appraisal
Amedeo Chiefa, Mark N. Costantini, Juan Cruz-Martinez +6
We present a systematic comparison of theoretical predictions and various high-precision experimental measurements, specifically of differential cross sections performed by the LHC…