AIOP Nov. 18, 2024

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AIOP - Polarized Photon Source

Agenda:

1. Previous Meeting

2. Announcements

3. Conferences/Workshops
   • ICFA Beam Dynamics Mini-Workshop on Machine Learning for Particle Accelerators (Apr. 8-11 CERN)

4. Project Progress
   • Coherent peak drift evidence
   • GitHub AIOP Project (AIOP-Photon issues)
   • Milestones: PDF(GitHub AIOP Project AIOP-Photon issues FTE Profiles)

5. PIER Activities
   • Middle School Data Science Hackathon Workshop (Oct. 16) Flappy Bird RL Learning - COMPLETED!
   • HUGS mini-Workshop - COMPLETED!

6. AOT

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AIOP Meeting Notes - 11/18/24

Attendees: David, Thomas, Torri, Naomi, Armen, Jiawei, Patrick

Note: With the holidays approaching, some work may need to be conducted through alternative means.

Progress Updates

Thomas

• Will run queries to retrieve data on nudges again.
• Plans to search for relevant anecdotes in the logbook.

Patrick

• Shared slides on his investigation into backlash:
  • Used S2020 and removed outliers.
  • Ensured the beam was operational.
  • Observed fixed roll and three groupings of yaw:
    • Coherent edge spread (a few hundred MeV).
    • Question: Where is this spread originating?
  • Hypothesized that variation could be fit-driven:
    • Scalar values archived:
      • Requires refitting (current fits show errors).
      • Utilized Minuit fit.
      • Possible hue mismatch with run number (or another factor).
      • Need to calculate the error on the coherent edge.
    • Highlighted the difference between set point and position.

Naomi

• Researched coherent peak movement instances:
  • Recalled the March 30, 2018 event, where the coherent edge appeared problematic:
    • A new diamond spot was located with a very narrow width.
    • After the accelerator resumed operation, the width increased significantly.
    • Hovannes relocated the beam to a new position for stability.
  • Plans to examine CPP logs for periods with significant beam movement.

Jiawei

• Presented before-and-after plots of coherent peak changes using archived data:
  • Data source: HD:CBREM:ENH_REF.
  • While the reference plot appears static, it successfully illustrates the difference in coherence.
  • Mentioned that a “live plot” is harder to implement but feasible.

The following action items were generated from the body of notes by chatGPT 4o:

Action Items

• Thomas: Follow up on nudge data and search for relevant logbook entries.
• Naomi: Continue analysis in CPP logs for beam movement.
• Patrick: Refine Minuit fit and further explore causes of variation in coherent edge spread.
• Jiawei: Investigate feasibility of implementing a live plot for coherent edge monitoring.