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General Talks
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Najnovije dodano:
2022-05-23
11:57
QFT from a Condensed Matter Perspective
/
Metlitski, Maxim
(speaker) (MIT)
2022 - 1:12:42.
Conferences & Workshops; Virtual Bootcamp on Nonperturbative QFT
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In :
Virtual Bootcamp on Nonperturbative QFT
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2022-05-23
10:18
Nonperturbative Effects and Semi-Classical Methods (Part 2)
/
Ünsal, Mithat
(speaker) (North Carolina State University)
2022 - 1:11:22.
Conferences & Workshops; Virtual Bootcamp on Nonperturbative QFT
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In :
Virtual Bootcamp on Nonperturbative QFT
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2022-05-23
10:18
Introduction to Lightcone Hamiltonian Truncation (Part 2)
/
Fitzpatrick, Liam
(speaker) (Boston University)
2022 - 1:10:50.
Conferences & Workshops; Virtual Bootcamp on Nonperturbative QFT
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Virtual Bootcamp on Nonperturbative QFT
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2022-05-23
10:18
Unlocking New Physics out of Astrophysical Data Sets
/
Dvorkin, Cora
(speaker)
Cosmological observations and galaxy dynamics have shown us that 84% of all matter in the universe is composed of dark matter, which is not accounted for by the Standard Model of particles. The nature and interactions of dark matter remain one of the great puzzles of fundamental physics. The wealth of knowledge which is and will soon be available from astrophysical surveys will reveal new information about our universe. I will discuss new ways to use current and upcoming data sets to improve our understanding of the particle content of our universe both at large and small scales..
2022 - 1:08:02.
Theory Colloquia
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In :
Unlocking New Physics out of Astrophysical Data Sets
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2022-05-20
16:23
Graph Neural Networks for High Luminosity Track Reconstruction
/
Murnane, Daniel Thomas
(speaker) (Lawrence Berkeley National Lab. (US))
b"With the upgrade to HL-LHC, traditional algorithms in the event analysis pipeline may struggle to scale to meet throughput requirements, due to the density of detector data and incompatibility with modern heterogeneous parallelism. A promising alternative path is emerging, by treating detector data as a graph-like structure and applying Graph Neural Networks (GNNs) to learn a representation of the underlying physics [...]
2022 - 1:17:57.
EP-IT Data science seminars
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Graph Neural Networks for High Luminosity Track Reconstruction
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2022-05-20
09:11
Hamiltonian Methods in QFT
/
Kukulijan, Ivan
(speaker) (Max Planck Institute for Quantum Optics)
2022 - 1:24:09.
Conferences & Workshops; Virtual Bootcamp on Nonperturbative QFT
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In :
Virtual Bootcamp on Nonperturbative QFT
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2022-05-19
08:47
Nonperturbative Dynamics in Lightcone Conformal Truncation (Part 1)
/
Fitzpatrick, Liam
(speaker) (Boston University)
2022 - 1:09:46.
Conferences & Workshops; Virtual Bootcamp on Nonperturbative QFT
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Virtual Bootcamp on Nonperturbative QFT
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2022-05-18
17:03
Calorimetry towards high-granularity at LHC experiments
/
Paganis, Stathes
(speaker) (National Taiwan University)
2022 - 0:21:20.
Conferences; 10th Edition of the Large Hadron Collider Physics Conference
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10th Edition of the Large Hadron Collider Physics Conference
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2022-05-18
16:48
Trigger upgrades at LHC experiments
/
Cerri, Alex
(speaker) (University of Sussex (GB))
2022 - 0:19:46.
Conferences; 10th Edition of the Large Hadron Collider Physics Conference
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10th Edition of the Large Hadron Collider Physics Conference
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2022-05-18
16:48
Tracker upgrades at LHC experimentds
/
Beole, Stefania Maria
(speaker) (Universita e INFN Torino (IT))
2022 - 0:24:19.
Conferences; 10th Edition of the Large Hadron Collider Physics Conference
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In :
10th Edition of the Large Hadron Collider Physics Conference
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