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

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Manage episode 512469797 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

371 episodes

Artwork
iconShare
 
Manage episode 512469797 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

371 episodes

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