7-9 October 2022
America/New_York timezone

2022 Bmad/Tao Introductory Course

[Following the ERL 2022 workshop]

 

Bmad is an object oriented, open source, subroutine library for charged-particle dynamics simulations in accelerators and storage rings. Tao is a general purpose simulation program (much like MAD) built with Bmad as its calculational engine. 
There is a long list of things Bmad can do such as:
      - Design ERLs.
      - Optics matching
      - Particle tracking
      - Polarized beams
      - Nonlinear dynamics and Taylor maps
      - Synchrotron radiation tracking
      - Etc., etc.
Bmad is particularly adept and handling multi-pass beamlines, including proper phase control of RF cavities, and thus is an ideal tool for design and simulation of ERLs. Further information can be found at:
https://www.classe.cornell.edu/bmad/

The majority of the course will consist of an interactive introduction on how to create Bmad lattice files and use Tao to examine and design lattices. The latter part of the course will then show how to use Bmad and Tao to construct and ERL lattice.The course format will be "reverse classroom" with students reading and doing exercises from the "Tutorial to Bmad and Tao" tutorial (https://www.classe.cornell.edu/bmad/manual.html) aided by the teachers.

Cost: There is no charge for this course.

Location: In person at Cornell University following the ERL 2022 workshop. 

Prerequisites: Having a laptop is the only formal prerequisite. Familiarity with basic Linux commands and the command line along with knowledge of basic accelerator physics concepts will be assumed.

A place to ask questions is the Bmad/Tao workspace on Slack. To join follow the link:
        • https://join.slack.com/t/bmad-simulation/shared_invite/zt-flwsmsc3-ITpqJyhRKNwWkZSA6b4LUw
If you have any problems joining the Slack workspace, please contact dcs16@cornell.edu 

Detailed course organization information to be posted...

 

Starts
Ends
America/New_York
Cornell University
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