Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 62 tok/s
Gemini 2.5 Pro 47 tok/s Pro
GPT-5 Medium 12 tok/s Pro
GPT-5 High 10 tok/s Pro
GPT-4o 91 tok/s Pro
Kimi K2 139 tok/s Pro
GPT OSS 120B 433 tok/s Pro
Claude Sonnet 4 31 tok/s Pro
2000 character limit reached

Electron phase space control in photonic chip-based particle acceleration (2107.02222v2)

Published 5 Jul 2021 in physics.acc-ph, physics.app-ph, and physics.optics

Abstract: Particle accelerators are essential tools in science, hospitals and industry. Yet, their costs and large footprint, ranging in length from meters to several kilometres, limit their use. The recently demonstrated nanophotonics-based acceleration of charged particles can reduce the cost and size of these accelerators by orders of magnitude. In this approach, a carefully designed nano-structure transfers energy from laser light to the particles in a phase-synchronous manner, thereby accelerating them. However, so far, confinement of the particle beam in the structure over extended distance has been elusive; it requires complex control of the electron beam phase space and is mandatory to accelerate particles to the MeV range and beyond with minimal particle loss. Here, we demonstrate complex electron phase space control at optical frequencies in the 225 nanometre narrow channel of a record-long photonic nanostructure. In particular, we experimentally show alternating phase focusing, a particle propagation scheme for, in principle, arbitrarily long minimal-loss transport. We expect this work to enable MeV electron beam generation on a photonic chip, with direct ramification for new forms of radiotherapy and compact light sources, and other forms of electron phase space control resulting in narrow energy or zeptosecond-bunched beams, for instance.

Citations (41)

Summary

We haven't generated a summary for this paper yet.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube