LINAC2026 - 33rd Linear Accelerator Conference

Generative Phase-Space Reconstruction for Low-Intensity Beam Characterization in the J-PARC Muon Linac MEBT Line

Not scheduled

2h

Daejeon Convention Center

Poster Presentation MC4.A01: Beam diagnostics Poster Session

Speaker

Emre Cosgun (High Energy Accelerator Research Organization)

Description

The J-PARC Muon Linac is being developed for precision measurements of the muon anomalous magnetic moment and the search for the muon electric dipole moment using a reaccelerated thermal muon beam. The Medium Energy Beam Transport (MEBT) line, planned for commissioning in 2027, will transport and match the muon beam to the Inter-digital H-mode drift tube linac (IH-DTL). Because the expected muon intensity is extremely low, conventional destructive and scan-based phase-space diagnostics are challenging. In this study, phase-space characterization methods for the J-PARC Muon Linac MEBT are investigated using MCP-based beam profile monitors composed of a microchannel plate, phosphor screen, and camera. Low-intensity muon beam projections are used for quadrupole-scan analysis and machine-learning-based prediction. A differentiable simulation code is combined with a generative neural-network beam model to reconstruct transverse phase-space distribution from downstream profile images at different quadrupole settings. The results indicate that MCP profile measurements with generative reconstruction provide a promising approach for MEBT beam characterization and commissioning.