COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Lattice field theory informal seminars > From C to Proton Sea: Bjorken-x Dependence of the Parton Distribution Functions
From C to Proton Sea: Bjorken-x Dependence of the Parton Distribution FunctionsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Christopher Thomas. Studying the structure of nucleons is not only important to understanding the strong interactions of quarks and gluons, but also to improving the precision of new-physics searches. Since a broad class of experiments, including the LHC and dark-matter detection, require Standard-Model backgrounds with parton distribution functions (PDFs) as inputs for disentangling SM contributions from potential new physics. For a long time, lattice calculations of the PDFs (as well as many hadron structures) has been limited to the first few moments. In this talk, we present a first direct calculation of the Bjorken-x dependence of the PDFs using Large-Momentum Effective Theory (LaMET). An exploratory study of the antiquark/sea flavor asymmetry of these distributions will be discussed. This breakthrough opens an exciting new frontier calculating more complicated quantities, such as gluon structure and transverse-momentum dependence, which will complement existing theoretical programs for the upcoming Electron-Ion Collider (EIC) or Large Hadron-Electron Collider (LHeC). This talk is part of the Lattice field theory informal seminars series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other lists2016 lists Cambridge University Hellenic Society zangwill ADF: Amsterdam Density Functional, Concepts and Applications MicrofluidicsOther talksImaging surfaces with atoms Findings from Studies of Virtual Reality Sketching C++11/14 - the new C++ Around the world in 605 State energy agreements Simulating Neutron Star Mergers Highly Energy Efficient Key-value Store for In-network Computing |