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May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

The QuantOm Event-Level Inference Framework

May 11, 2023, 3:00 PM
15m
Hampton Roads Ballroom VIII (Norfolk Waterside Marriott)

Hampton Roads Ballroom VIII

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Oral Track 6 - Physics Analysis Tools Track 6 - Physics Analysis Tools

Speaker

Lersch, Daniel (Florida State University)

Description

In the last two decades, there have been major breakthroughs in Quantum Chromodynamics (QCD), the theory of the strong interaction of quark and gluons, as well as major advances in the accelerator and detector technologies that allow us to map the spatial distribution and motion of the quarks and gluons in terms of quantum correlation functions (QCF). This field of research broadly known as Nuclear Femtography enters into a new era of exploration with the data from the 12 GeV Science program at Jefferson Lab being available and the construction of the Electron-Ion Collider and its detectors. Nuclear Femtography promises dramatic breakthroughs in our understanding of the subatomic world. It is now timely to rethink theoretical and experimental workflows for studying QCF and take advantage of recent algorithmic advances and unprecedented computing resources of the powerful new computers at the exascale to constrain QCF precisely in five or more kinematic dimensions.

The QUAntum chromodynamics Nuclear TOMography (QuantOm) Collaboration is proposing a unique event-level inference framework to obtain a quark and gluon tomography of nucleons and nuclei from high-energy scattering data. This new event-level approach stands to have a transformational impact on the data analysis workflow that connects theory with experiment, and will help ensure that current and future facilities, such as Jefferson Lab and the Electron-Ion Collider, deliver on their science mission to reveal the inner structure of the visible universe at the femtometer scale.

Consider for long presentation Yes

Primary authors

Diefenthaler, Markus (Jefferson Lab) Joosten, Sylvester (Argonne National Laboratory) Lersch, Daniel (Florida State University)

Presentation materials