DAMSA@PIP2-BD Progress Reports

Tuesday 18 Feb 2025, 16:30 → 18:15 US/Central

https://uta.zoom.us/j/7254693109?pwd=ZG1Ec1JuRWdYenU3N1BFRVZqZDUvUT09 (Zoom)

16:30 → 16:35 News and updates

Speakers: Prof. Jae Yu (University of Texas at Arlington (US)), Juan Cruz Estrada Vigil, Juan Estrada, Un Ki Yang (Seoul National University (KR))

yu-updates-021825.pdf

yu-updates-021825.pptx

16:35 → 16:40 Fermilab LDRD Review Comments

Speakers: Dr Joe Pastika (Fermilab), Nathaniel Joseph Pastika (Fermi National Accelerator Lab. (US))

16:40 → 16:55 Simulation and data analysis training progress and plan

Speakers: Wooyoung Jang (The University of Texas at Arlington), Wooyoung Jang (The University of Texas at Arlington), Wooyoung Jang (University of Texas at Arlington)

DAMSA_meeting_02182025-wyjang.pdf

16:55 → 17:15 Simulated output of the 2GeV electron beams at FTBF validation test

Speakers: Minseok Oh (Seoul National University (KR)), Un Ki Yang (Seoul National University (KR))

250218 DAMSA meeting(Target composition).pdf

250218 DAMSA meeting(Target composition).pptx

17:15 → 17:35 Simulation plan for background flux and geometry optimization

Speaker: Hyunyong Kim (Texas A & M University (US))

Target Material

The number of leakage particles depends on density; a tungsten target is more effective than mixing it with lead.

However, we can evaluate the effectiveness of different materials. For example, neutron shielding often uses lead and concrete. Lead reduces the neutron energy, and then concrete stops the neutrons using hydrogen.

 

Detector Geometry

Implementing machine learning (ML) is necessary to reconstruct the diphoton signal event. After developing the ML reconstruction algorithm, we can optimize the dimensions of the CsI crystals.

Additionally, we can evaluate three scenarios:

1. Signal only
2. Background only (leakage particles)
3. Signal + background

Plan

• Develop the ML reconstruction algorithm
• Optimize the detector geometry
• Optimize the target thickness

17:35 → 17:55 Crystal testing plan in Korea

Speakers: Shinhyung Kim, Un Ki Yang (Seoul National University (KR))

17:55 → 18:10 AOB