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The Center for Bright Beams, A National Science Foundation Science and Technology Center

CBB Publication Chosen for Phys Review Accelerators and Beams 2024 Highlight

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Efficient six-dimensional phase space reconstructions from experimental measurements using generative machine learning", explores groundbreaking advancements in reconstructing phase space at the Continuous Electron Beam Accelerator Facility at 12 GeV

🎉 Exciting Announcement! 🎉

A publications by Center for Bright Beams Researchers has been hand-picked by the editors for inclusion in the Physical Review Accelerators and Beams 2024 Highlights!
The featured article, "Efficient six-dimensional phase space reconstructions from experimental measurements using generative machine learning", explores groundbreaking advancements in reconstructing phase space at the Continuous Electron Beam Accelerator Facility at 12 GeV.

Congratulations to the team behind this work: Ryan Roussel, Juan Pablo Gonzalez-Aguilera, Eric Wisniewski, Auralee Linscott Edelen, Young-Kee Kim, et al. 

📖 Phys. Rev. Accel. Beams 27, 094601 – Published 11 September, 2024

R. Roussel, J. P. Gonzalez-Aguilera, E. Wisniewski, A. Ody, W. Liu, J. Power, Y.-K. Kim, and A. Edelen, “Efficient six-dimensional phase space reconstructions from experimental measurements using generative machine learning,” Phys. Rev. Accel. Beams, vol. 27, no. 9, p. 094601, Sep. 2024, doi: 10.1103/PhysRevAccelBeams.27.094601. Available: https://link.aps.org/doi/10.1103/PhysRevAccelBeams.27.094601



Thank you to American Physical Society (APS) Physical Review Accelerators and Beams for recognizing this work.

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