Prof. Steven M. Lund
Michigan State University
Physics and Astronomy Department
Facility for Rare Isotope Beams (FRIB)
US Particle Accelerator School
517-908-7291 (office)
510-459-4045 (mobile)
Lund@frib.msu.edu
Prof. Yue Hao
Michigan State University
Physics and Astronomy Department
Facility for Rare Isotope Beams (FRIB)
812-320-7501 (mobile)
HaoY@frib.msu.edu
Prof. Yichao Jing
Brookhaven National Laboratory
Stony Brook University
631-413-7031 (mobile)
631-344-8305 (office)
yjing@bnl.gov
Dr. Chun Yan (Jonathan) Wong
Oak Ridge National Laboratory
Spallation Neutron Source
517-455-8858 (mobile)
wongc2@ornl.gov
Michael Balcewicz
Michigan State University
Physics and Astronomy Department
949-525-0372 (mobile)
balcewic@nscl.msu.edu
Nick Valverde
Michigan State University
Physics and Astronomy Department
517-908-7677 (mobile)
valverdn@nscl.msu.edu
USPAS Course Description (html)
The schedule will be adjusted during the course, please check periodically.
Schedule (Google Sheet; should work with most browsers)
Lecture notes will generally be posted on this web site before class in pdf format within a folder "Lectures" on a shared Google Drive linked below. Lecture streams may also be recorded in mp4 format and saved on the Google drive after lectures. Recitations will not be recorded or posted. Time permitting, corrections and additions will also be posted on the web site after lectures. Materials are organized by lecture day as detailed on the schedule linked above. Students may find touchscreen laptop computers or tablets with active pens convenient for taking notes in class on the distributed pdf files. If desired, students can print paper copies of lecture notes for note taking with conventional paper and pen. Lectures by Yue Hao employ Jupyter notebooks with python code that can be executed within the interface. These notebooks can be accessed via the link below. Simulation labs will distribute materials on a correspondingly named Google Drive folder "Simulation Labs" linked below. The organization of the simulation materilas is analogous to the lectures. The simulation labs will employ the Poisson/Superfish and MADX codes installed on Amazon Web Service cloud computers and the RadiaSoft Sirepo GUI and linked Jupyter server. Notes will be maintained on this web site after the course with occasional updates, corrections, and extensions until a next version of the course is given. At that time, the web site will be frozen and a link to the later version will be displayed at the top of the web page.
Lectures (Lund, Hao, Jing)
Jupyter Notebooks (Hao Lectures)
Simulation Labs (Wong)
Lecture notes provided will be employed for the class text. SY Lee, "Accelerator Physics" will be provided as a class text for supplemental reading. Additionally, following texts listed below are useful for additional background information, but are not required for the course:
| • SY Lee, "Accelerator Physics" |
| • Wiedemann, "Particle Accelerator Physics" |
| • Wangler, "RF Linear Accelerators" |
| • Conte and MacKay, "An Introduction of the Physics of Particle Accelerators" |
| • Edwards and Syphers, "An Introduction to the Physics of High Energy Accelerators" |
| • Wille, "The Physics of Particle Accelerators An Introduction" |
| • Berz, Makino, and Wan, "An Introduction to Accelerator Physics" |
Problem Sets (70% Course Grade):
Nine problem sets will be assigned according to the schedule above. The problem sets will be distributed in pdf format via the linked Google Drive "Problem Sets" below. Distribution times and due dates ase detailed on the schedule. Students should turn in their solutions in pdf format (scan etc) via their individual Google Drive folders that will be conveyed by the TAs by upload link (or shared on request). Problem sets will generally be due two days after handout at the start of the first lecture session of the day. This will allow two evenings for work to be completed. Solutions will be reviewed in recitation sections and solutions will be distributed in pdf form via the students' Google Drive. Solutions will not be posted on this web site. Students are encouraged to discuss the problem sets with other students, the teaching assistants, and the lecturers, but are required to turn in their own solutions. Any resources can be used, but students should not seek any solutions from prior versions of the course.
Problem SetsParticipation (10% Course Grade):
Participation on a daily basis (full or no credit) will be graded by the teaching assistants to evaluate this score. The score will be computed with the two lowest days removed. Full credit for the day can be achieved by a combination of lecture attendance and asking questions in class, attending evening homework sessions where you ask questions or help other students, or posting questions and helping your fellow students in the class Slack channel (see below). TAs will monitor attendance with Zoom tools. Absences from lectures should be by excuse (inform the teaching assistants)s. Students are expected to at least minimally participate in the evening homework sessions and/or Slack channel discussions. Evaluation of the daily score will be solely by the teaching assistants.
Final Exam (20% Grade):
A "take home" final exam will be assigned according to the schedule above (handed out the Thursday before the last lecture at 2 pm, and turned in on the Saturday after the last lecture at 5 pm), and will be distributed in pdf format via the linked Google Drive "Final Exam" below. Students should turn in their solutions in pdf format (scan etc) analogously to their problem sets via their individual Google Drive folders. Both course lecture notes, the student's own personal notes, and the students homework solutions can be used on the final exam. Work must be fully independent. Students are not allowed to: consult otherss use references/books outside of the course textbook, and online materials outside of those directly posted on this course web site. Only clarification questions to the lecturers and teaching assistants are permitted.
Final Exam
A Slack channel will be used to provide another method for students to communicate and interact with fellow students, TAs, and instructors. The join link below can be used to add our class slack channel that will be monitored by our TAs.
USPAS Accelerator Physics Slack Channel