2022-05-23
11:57 |
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2022-05-23
10:18 |
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2022-05-23
10:18 |
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2022-05-23
10:18 |
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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
External link: Event details
In : Unlocking New Physics out of Astrophysical Data Sets
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2022-05-20
16:23 |
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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
External link: Event details
In : Graph Neural Networks for High Luminosity Track Reconstruction
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2022-05-20
09:11 |
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2022-05-19
08:47 |
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2022-05-18
17:03 |
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2022-05-18
16:48 |
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2022-05-18
16:48 |
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