Conveners
Collider 1
- Andrew Ivanov (Kansas State University (US))
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Flera Rizatdinova (Oklahoma State University (US))14/10/2023, 12:45
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Rahool Kumar Barman (Oklahoma State University)14/10/2023, 13:15
Optimal kinematic observables are often defined in specific frames and then approximated at the reconstruction level. We show how multi-dimensional unfolding methods allow us to reconstruct these observables in their proper rest frame and in a probabilistically faithful way. We illustrate our approach with a measurement of a CP-phase in the top Yukawa coupling. Our method makes use of key...
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Jacob Scott14/10/2023, 13:33
In a process such as $pp\to t\bar{t}$, it is a binary classification problem to determine which of the top quarks the final state particles decayed from. This becomes exponentially more complex as the number of final particles increases. Variational Quantum Algorithms (VQAs) are hybrid quantum algorithms in which a quantum circuit is parameterized and a classical optimizer is used to minimize...
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Dr Akanksha Bhardwaj (Oklahoma State University)14/10/2023, 13:51
Graph Neural Networks have emerged as a powerful tool for operating on graph-structured data, facilitating the exploration of non-Euclidean physics data. In this talk, I will discuss the application of GNNs in a supervised scenario where we explore its potential to improve high-dimensional effective field theory parameter fits to collider data beyond traditional rectangular cut-based...
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Terrance Figy (Wichita State University)14/10/2023, 14:09
In this presentation, I will elucidate the diverse array of cutting-edge computing resources available for unrestricted use. Noteworthy examples include the BeoCat High-Performance Computing (HPC) system at Kansas State University, the formidable Pete Supercomputer at Oklahoma State University, and the highly efficient BeoShock HPC system at Wichita State University. These resources grant...
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