[Theory-seminars] Cake Seminar TODAY - Adam Freese

[Zheng-Yang Li]

Dear all,

Today, Wednesday, Aug 7th, at 1pm EDT, we will have a cake seminar given by Adam Freese of JLab in L102. Please see below for the title and abstract.

For those who may be traveling or unable to attend in person, we have provided a Zoom link below. We encourage everyone else to join us in person for the seminar.

Zoom link: https://jlab-org.zoomgov.com/j/1610252317?pwd=RN0NYbvQq6077Br3mTpwr9JgP9hBhU.1<https://urldefense.proofpoint.com/v2/url?u=https-3A__jlab-2Dorg.zoomgov.com_j_1610252317-3Fpwd-3DRN0NYbvQq6077Br3mTpwr9JgP9hBhU.1&d=DwMFAw&c=CJqEzB1piLOyyvZjb8YUQw&r=KSOhqQHf4A4N032yFEw58A&m=A1RTrrqTj-OcQDDGemdno15CZfJ34yAwtomDESBobO1Iayzek_bIJdUqlFa8ZgDs&s=VgQbSjEIfdJcAomxnB5oUTXdb4q0dniVEADFsykgqnQ&e=>
Meeting ID: 161 025 2317
Password: 012207

Cake Seminar: Wednesday, Aug 7th, 2024 at 1pm EDT

Speaker: Adam Freese (JLab)

Title: GPD Evolution: Pixel Remaster

Abstract: Generalized parton distributions (GPDs) are functions of four variables, one of which is a renormalization scale. The functional dependence on this renormalization scale is fully determined by a renormalization group equation---or "evolution equation"---that can be derived from perturbative QCD. A fast numerical implementation of the scale evolution is vital to any global phenomenology effort. Moreover, for a framework leveraging neural networks, differentiability is also necessary. In this talk, I will discuss an ultra-fast, differentiable implementation of GPD evolution in momentum fraction space, in which the evolution equation itself is (approximately) rendered as a differential matrix equation.

See you soon.

Best regards,
Caroline, Joe, Zheng-Yang & Gloria

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