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Optimizing Low Energy Beam Transport for RFQ: Progress and Future Plans

This document outlines the progress and plans related to the Low Energy Beam Transport (LEBT) for RFQ at Imperial College. Key topics include ENVELPC simulation results, beam transport from the source to RFQ, and strategies to minimize particle losses and achieve acceptable emittance levels. Optimization specifics, including input beam conditions and space charge compensation, are discussed. Tools like General Particle Tracer (GPT) and MAFIA will be utilized for simulations. Goals include constructing a comprehensive model for LEBT and spectrometer simulations by September.

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Optimizing Low Energy Beam Transport for RFQ: Progress and Future Plans

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  1. Simon JollyProgress & Plans Imperial College NuFact Meeting 28/04/05

  2. IC NuFact Areas of Interest • Front End Test Stand: • Source • Low Energy Beam Transport • RFQ • Chopper • Spectrometer • MICE • Not my bag (maybe later)…

  3. Low Energy Beam Transport Early ENVELPC simulation results from John Back… • Transport beam from source to RFQ. • Reduce unequal x/y emittance to acceptable levels for RFQ. • Minimise particle losses.

  4. Requirements • LEBT layout needs to be frozen by September: optimisation of dimensions and solenoid strengths needed in detail (only ENVELPC so far). • Optimisation highly dependent on input beam conditions and space charge compensation. • Space charge compensation not yet included: need to simulate gas pressure to optimise space charge compensation.

  5. Available Programs • ENVELPC - beam envelope optimisation (John Back) • General Particle Tracer (GPT) - full ray tracing (available from RAL). http://www.pulsar.nl/gpt/ • MAFIA - magnet simulation package http://www.cst.de/Content/Products/MAFIA/Overview.aspx • MOLFLOW - gas pressure calculations (obtain from Daresbury?)

  6. Plans • Set up GPT for use at IC: • Available licenses, location & machine. • Run ISIS simulations from Alan Letchford & match results. • Run ENVELPC code from John Back & match results. • Clarify initial beam data (from source) and hard limits on LEBT: • Initial drift length. • RFQ input emittance.

  7. Plans (2) • Construct GPT model of LEBT, using ISIS model as a basis. • Include real rather than box fields for solenoids for LEBT sim in GPT. • Include space charge compensation in GPT with 0%, 100% and 90% space charge comp. • Simulate pressure distribution inside LEBT using MOLFLOW and incorporate into GPT sim. • Coordinate with John Back at Warwick. • Model spectrometer in GPT, using MAFIA field maps (Ajit) - parallel to LEBT sim.

  8. Goals • Full LEBT sim. in GPT, including real input emittance, field maps and space charge compensation, to freeze layout by September. • Full spectrometer sim. in GPT, using MAFIA magnet simulations.

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