U.S. Particle Accelerator School

Laser Applications to Accelerators course

Sponsoring University:

University of Maryland


Laser Applications to Accelerators


Yuelin Li, Argonne National Laboratory and Triveni Rao, Brookhaven National Lab

Purpose and Audience
This course is an introduction to the application of laser technology and techniques to accelerators. The course is designed for graduate students, engineers, and scientists interested in the basic concept and techniques for laser applications in accelerators.

Classical Mechanics and Electromagnetism at the junior/senior undergraduate level.

The course will survey the concepts and techniques for laser applications in accelerators, including laser pulse manipulation and laser-beam interactions. At the end of the course, the students are expected to understand the basic laser techniques, laser-beam interactions, and laser related as a beam diagnostics and beam manipulations.

Instruction Methods
This course includes 9 lectures during morning and afternoon sessions. Homework assignment will be completed outside the scheduled class sessions.

Course Content
The course will start with an introduction to the basics of laser pulse description and laser measurement techniques, a survey of recent progress in laser R&D, and the potential impact on next generation accelerator facilities. Laser applications in accelerators will include the following topics: 1) lasers as a beam source and rf clock for an accelerator facility and laser pulse manipulation for photoinjectors; 2) laser and beam interactions, including Thomson scattering and inverse free electron lasers and their applications for light sources, beam diagnostics, and beam manipulations; 3) the concept of optical stochastic cooling; 4) electron optical sampling techniques and its application as beam profile and synchronization diagnostics.  

Reading Requirement
Instructor will provide lecture notes. Introductory and review articles will also be used and will be provided by the USPAS.

Credit Requirement
Students will be evaluated based on homework assignments (80%) and classroom participation (20%).