- Identify and quantify 6D emittance dilution mechanisms from x100 brighter sources to the application point along with methods to mitigate them (Year 3). This includes detailed beam physics simulations of successful preservation of the transverse emittance from very low-MTE photocathodes (Year 4) and corresponding beam measurements aimed at demonstrating improved brightness from photoemission guns.
- Implement accelerator models for an electron microscope to characterize and obtain machine-learning-based optimization and tuning of multipole-based aberration-corrected optics with input from phase-space-based detectors (Year 3) and suggest a workable solution.
- Measure resonance driving terms to extract nonlinear guiding fields in storage rings (Year 3) and optimize them to obtain small-emittance large dynamic aperture lattice.
- Use strong nonlinear transverse focusing in storage rings to suppress fast coherent beam instabilities through increasing damping rate by orders of magnitude via betatron tune spread and demonstrate this approach experimentally.
- Eric Cropp, UCLA
- Paul Cueva, Cornell University
- Cameron Duncan, Cornell University
- Matt Gordon, University of Chicago
- Lipi Gupta, University of Chicago
- Nikita Kuklev, University of Chicago
- William Li, Cornell University
- Christopher Pierce, Cornell University
- Matt Andorf, Cornell University
- Stas Baturin, University of Chicago
- Application of Machine Learning for Surrogate Modeling of FEL Processes for the LCLS (Kim / Oseroff)
- Development of the ASU-DC cryogun and UED beamlineKarkare (Karkare / Gevorkyan)
- Emittance control in electron microscopy using Machine Learning (Muller / Cueva)
- Experimental Demonstration of Quasi Integrable Octupole Lattice at the IOTA (Integrable Optics Test Accelerator) (Kim / Kuklev)
- Investigation of a long-bypass for Optical Stochastic Cooling and Space-charge optimizations for low MTE photo-cathodes. (Bazarov / Andorf)
- Investigation of Machine Learning based approaches in accelerator science for MOGA optimizations and transverse phase-space painting (Bazarov / Hua)
- Machine-learning assisted ultralow emittance generation by flat beam transformation (Musumeci / Cropp)
- Measuring <1nm normalized emittance and associated tradeoffs in space charge dominated bunches in the Cornell Cryogyun (Maxson / Li)
- Online tuning, rea-time modeling, and aberration correction in electron microscopes (Maxson / Duncan)
- Optical Transport and Beam Manipulation for Optical Stochastic Cooling (Piot / Dick)
- Optimization of ultra-compact free-electron laser performance with start-to-end simulations (Rosenzweig / Majernik / Robles)
- The Effects of Stochastic Space Charge in High Brightness Photoelectron Beamlines for Ultrafast Electron Diffraction (Kim / Gordon)