Difference between revisions of "DOE EPSCoR Proposal"
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# Use Genetic algorithm with Simulation predictions to optimize positron production | # Use Genetic algorithm with Simulation predictions to optimize positron production | ||
# Begin designing tungsten converter capable of handling high heat load | # Begin designing tungsten converter capable of handling high heat load | ||
| − | #CEBAF can accept particles into acceleration stage as long as <math>\frac{\Delta E}{E} \leq 10^{- | + | #CEBAF can accept particles into acceleration stage as long as <math>\frac{\Delta E}{E} \leq 10^{-3}</math> |
# Electrons are injected at 500 MeV (1 GeV) for a 6 GeV (12 GeV) CEBAF. Currently <math>\frac{\Delta E}{E} \leq 10^{-5}</math> | # Electrons are injected at 500 MeV (1 GeV) for a 6 GeV (12 GeV) CEBAF. Currently <math>\frac{\Delta E}{E} \leq 10^{-5}</math> | ||
Revision as of 19:17, 14 June 2007
A Positron Source for JLAB
Year 1
- Check positron productions efficiency simulations for 10-20 MeV electrons on Tungsten Target
- Measure positron emmitance and compare to simulation predictions
- Repeat above measurements at different tilt angles
Year 2
- Use Genetic algorithm with Simulation predictions to optimize positron production
- Begin designing tungsten converter capable of handling high heat load
- CEBAF can accept particles into acceleration stage as long as
- Electrons are injected at 500 MeV (1 GeV) for a 6 GeV (12 GeV) CEBAF. Currently
Year 3
- Test design configuration from Genetic Algorithm at the IAC
- measure tungsten converter target performance as function of IAC beam current
- IAC beam is x 40 less power than what will be needed at JLAB