Speaker
Description
Subatomic particles have a size of about one femtometer and are
studied through measurement of scattering events at various particle
accelerator facilities around the world. An experimental event is a particle
collision that triggers a detector response, which then collects
various signals that allows the properties of the measured final state
particles to be reconstructes. For imaging quarks and gluons at the
femtoscale the challenge is they never reach a detector. This is a
unique challenge in all of science, because the elementary degrees of
freedom (quarks and gluons) are not those directly accessible in
experiment. Our project aims to develop a framework that can extract
the maximum amount of information on a
quark and gluon tomography of nucleons and nuclei from high-energy
scattering data. To achieve this goal of maximal information it is
essential to compare theory and experiment at the most fundamental
level. We are developing a workflow for the extraction of QCFs from an
event-level analysis of experimental data with four connected
modules. Module 1 generates QCFs using a deep neural network. Module 2
constructs particle momentum distributions (PMDs) and generates idealized theory events using Markov chain Monte Carlo. Module 3 incorporates detector effects to create simulated events. Module 4 compares the simulated and measured events using a discriminator. This process repeats until the simulated and experimental events correspond to the same theory by a given measure. The complexity of this workflow can increase dramatically because module 2 can represent many processes giving different PMDs and idealized events that correspond to the same QCFs. Then module 3 can represent many detectors from different experiments generating a larger set of simulated events that must be compared with experimental events from different sources. This is a new computational paradigm for the field and several possibilities of collaboration and innovation exist.
| JLESC topic | Numerical methods and algorithms |
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