Experimental Proof: MENT-Flow Achieves Consistency with MENT Solutions for Beam Reconstruction

Machine Learning Tech Brief By HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/experimental-proof-ment-flow-achieves-consistency-with-ment-solutions-for-beam-reconstruction.
This article describes numerical experiments validating MENT-Flow for phase space tomography.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #6d-phase-space-tomography, #normalizing-flows, #maximum-entropy-reconstruction, #phase-space-distributions, #generative-models, #tomographic-reconstruction, #beam-reconstruction, and more.
This story was written by: @tomography. Learn more about this writer by checking @tomography's about page, and for more stories, please visit hackernoon.com.
This article describes numerical experiments validating MENT-Flow for phase space tomography.