[Theory-seminars] Postdocs interviews. Wednesday 2pm, room F224

[Alessandro Pilloni]

Hi everybody,
we have two more postdoc interviews tomorrow afternoon
The room is F224 and not the usual theory seminar room

CEBAF Center, Room F224
Wednesday, January 13th

2:00pm - Adam Freese (Florida U.)
A theoretical approach to nuclear parton distributions
Abstract: Quantum chromodynamics has been extremely successful in 
describing many high-energy experiments with the use of universal parton 
distribution functions. PDFs of the free proton are well-constrained by 
experimental data, but nuclear PDFs require further elaboration. Three 
ingredients are necessary to theoretically obtain nuclear PDFs: (1) an 
account of the nuclear momentum distribution that accounts for the 
latest phenomenology of short range correlations; (2) a model of how 
bound nucleons are modified at a partonic level due to immersion in the 
nuclear medium; and (3) the application of QCD evolution to connect the 
low momentum transfer scales where the first two ingredients are 
obtained to the high momentum transfer scales relevant to the LHC and 
anticipated EIC. These three ingredients will be elaborated in detail, 
and an application of the obtained nuclear PDFs to proton-nucleus 
collisions at the LHC will be given.

2:45pm - Jose Osvaldo Gonzalez-Hernandez (ODU)
3D Mapping of the Nucleon
Abstract: In order to obtain a realistic 3-dimensional picture of the 
nucleon, it is essential to perform reliable extractions of the so 
called Generalized Parton Distributions (GPDs) and Transverse Momentum 
Dependent functions (TMDs). The non-perturbative nature of these 
functions force us to employ models and often times make strong 
assumptions and approximations. In turn, this results in issues that 
must yet be resolved from the theoretical point of view. In this talk, I 
will discuss about some of these issues, in the context of TMDs, as well 
as some of the limitations that current data sets present in their 
extraction. I will briefly discuss about diquark models in the context 
of both GPDs and TMDs.