ACERCA DE ESTE EPISODIO
In our third episode of stories straight from the heart of matter, we talk about the connections between the Electron-Ion Collider and High-Energy Physics, in particular parton distribution functions. What are parton distribution functions or short PDFs, how we extract them, and why they are of importance for Nuclear and High-Energy Physics, we learn from our expert, Dr. Tim Hobbs of Argonne National Laboratory.
Inglés
Estados Unidos
TRANSCRIPCIÓN 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
BUSCAR EPISODIOS ANTERIORES
Buscar episodios anteriores de Strong Interactions.
OTROS EPISODIOS EN ESTE PODCAST
In our second episode of stories straight from the heart of matter, we have talked about the spin on the proton and how we can study spin structure with our expert, Dr. Renee Fatemi from the University of Kentucky.
Transverse-momentum-dependent PDFs (TMD PDFs, or simply TMDs) offer a powerful way to probe the three-dimensional structure of protons, neutrons, and nuclei, and to test quantum theory at its limits. In our fifth episode of “Stories Straight from the Heart of Matter,” we explore the internal struct…
In our fourth episode of “Stories Straight from the Heart of Matter,” we discuss Lattice QCD—a method for calculating observables of the strong interaction using methods of statistical physics and advanced computing. We explore exactly how this works and the role Lattice QCD will play for the Elect…
In our very first episode of stories straight from the heart of matter, we have dived right inside the protons. We have learned about the internal structure of these basic and yet complex building blocks of matter from our guest, Dr. Robert L. Jaffe from MIT.
Descargo de responsabilidad: El podcast y el arte incluidos en esta página son de Maria Żurek and Markus Diefenthaler, que es propiedad de su propietario y no está afiliado ni respaldado por Listen Notes, Inc.
EDITAR
Gracias por ayudar a mantener actualizada la base de datos de podcasts.
