Cryogun Example - Emittance/Bunch Charge

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Beamline Setup

Cryocooled Dcgun followed by two Solenoids and a NCRF buncher cavity

Field Map:

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Input Files

Electric Field Map (gdf) : dcgun_analytic_5_20mm_2D.gdf

Buncher Field Map (gdf) : eindhoven_rf_4mm_center.gdf

Solenoid Field Map: GPT Analytical Solenoid

GPT .in file: gpt.in

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Parameters- 0 meV Optimization

Optimizing

objectives.enxy.qb

Constraints

constraints.bin

Decisions

decisions.enxy.qb

Number of Generations

500

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Parameters- 150 meV Optimization

Optimizing

objectives.enxy.qb

Constraints

constraints.bin

Decisions

150_decisions.enxy.qb

Number of Generations

500

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Running the Optimizer

1) Go to /inopt/examples/ued.cgun. Start the optimization by running the command:

./how_to_run.txt

You should see the following output:

nohup: appending output to 'nohup.out'

2) If you want to see the progress of the optimization, run the command:

tail -f var_diag.log

3) If you want to visualize the results as they happen, run gnuplot. When prompted by the line "gnuplot>", enter the line:

p [0:160] [0:15] "ued.cgun.out.txt" u (-1*$18):19

The reason the last two input parameters of the above line reads 18 and 19 is evident when one ones the ued.cgun.out.txt file. On the top of the file, it says " # variables (17) objectives (2) constraints (3) ".

Therefore, column 18 and 19 are the two competing objectives that we are trying to optimize.This will plot the emittance as a function of bunch charge in [fC] and [nm] respectively.

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Results

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Pareto Front GIF

0 meV:

150meV:

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Output files

0 meV: ued.cgun.out_0MTE.txt

150 meV: ued.cgun.out.txt

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Other Results

Effective Emittance

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