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2021 Bmad/Tao Internet School
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Description
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:
- optics matching
- particle tracking
- polarized beams
- nonlinear dynamics and Taylor maps
- synchrotron radiation tracking
- etc., etc.
Further information can be found at:
https://www.classe.cornell.edu/bmad/
An introductory course is being planned with more advanced instruction provided depending upon demand. 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 with communication through Slack (mostly) and Zoom. The school will nominally take two weeks but there is no set deadline (the Slack Bmad workspace is available year round for questions and discussions). It is estimated that to finish in two weeks, course work will average about two hours per day but there is great flexibility since the course is self-paced.
Cost: There is no charge for this course.
Prerequisites: There are no formal prerequisites but familiarity with basic Linux commands and the command line along with knowledge of basic accelerator physics concepts will be assumed.
To join the Bmad/Tao discussion on Slack, follow the link:
See the attachment below for coursework and other information.
If you have any problems joining the Slack workspace, please contact dcs16@cornell.edu
Participants
Andrea Ciarma
Bhawin Dhital
Christian Carli
Daniel Marx
David Sagan
DINH NGUYEN
Eliana Gianfelice
Erdong Wang
Fabien Plassard
Fanglei Lin
He Zhang
Henry Lovelace III
Hongjin Fu
Isleydys Silva Torrecilla
James Crittenden
Janice Nelson
Jorg Kewisch
Lauren Alsberg
Matthieu Valette
Nicholaos Tsoupas
Nicole Neveu
Prassanna s
Randika Gamage
Ryan Bodenstein
Steven Tepikian
Tao Chen
Vahid Ranjbar
Vasiliy Morozov
Vera Cilento
Volodymyr Rodin
Xiaofeng Gu
Yi Wu
