Machine Learning at SLAC

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September 2022
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A Method for Quantifying Position Reconstruction Uncertainty in Astroparticle Physics using Bayesian Networks
 
 
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Phase Space Reconstruction from Accelerator Beam Measurements Using Neural Networks and Differentiable Simulations
 
 
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September 2022
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Event Series

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September 2022
A Method for Quantifying Position Reconstruction Uncertainty in Astroparticle Physics using Bayesian Networks
Friday, September 9, 2022
1:00pm
- 2:00pm
Zoom
In this presentation, I will demonstrate a method for position reconstruction in astroparticle physics using a Baye
ics
Phase Space Reconstruction from Accelerator Beam Measurements Using Neural Networks and Differentiable Simulations
Friday, September 30, 2022
1:00pm
- 2:00pm
Zoom
Characterizing the phase space distribution of particle beams in accelerators is a central part of accelerator understanding and performance optimization.
ics

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