47 citations · 140 across the 8 of their papers we have counts for
8 papers
Probing Nucleons and Nuclei in High Energy Collisions
Christine A. Aidala, Elke Aschenauer, Fatma Aslan +87
This volume is a collection of contributions for the 7-week program "Probing Nucleons and Nuclei in High Energy Collisions" that was held at the Institute for Nuclear Theory in Sea…
Probing Nuclear Structure with Future Colliders
T. J. Hobbs, Pavel M. Nadolsky, Fredrick I. Olness +1
Improved knowledge of the nucleon structure is a crucial pathway toward a deeper understanding of the fundamental nature of the QCD interaction, and will enable important future di…
LHC and DIS experimental data in the CT18(Z) global QCD analysis
Tie-Jiun Hou, Keping Xie, Jun Gao +11
We discuss implementation of the LHC experimental data sets in the new CT18 global analysis of quantum chromodynamics (QCD) at the next-to-next-leading order of the QCD coupling st…
PDFSense: Mapping the PDF sensitivity of future facilities (HL-LHC, LHeC, and EIC)
T. J. Hobbs, Bo-Ting Wang, Pavel M. Nadolsky +1
Particle and nuclear physics are moving toward a new generation of experiments to stress-test the Standard Model (SM), search for novel degrees of freedom, and comprehensively map…
Charting the coming synergy between lattice QCD and high-energy phenomenology
T. J. Hobbs, Bo-Ting Wang, Pavel M. Nadolsky +1
Building upon the PDFSense framework developed in Ref. [1], we perform a comprehensive analysis of the sensitivity of present and future high-energy data to a number of quantities…
PDFSense: Mapping the sensitivity of hadronic experiments to nucleon structure
Bo-Ting Wang, T. J. Hobbs, Sean Doyle +4
Recent high precision experimental data from a variety of hadronic processes opens new opportunities for determination of the collinear parton distribution functions (PDFs) of the…
Mapping the sensitivity of hadronic experiments to nucleon structure
Bo-Ting Wang, T. J. Hobbs, Sean Doyle +4
Determinations of the proton's collinear parton distribution functions (PDFs) are emerging with growing precision due to increased experimental activity at facilities like the Larg…
Reconstruction of Monte Carlo replicas from Hessian parton distributions
Tie-Jiun Hou, Jun Gao, Joey Huston +8
We explore connections between two common methods for quantifying the uncertainty in parton distribution functions (PDFs), based on the Hessian error matrix and Monte-Carlo samplin…