Final focus system optimization
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Transcript of Final focus system optimization
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FINAL FOCUS SYSTEM OPTIMIZATIONREBECCA GLAUDELLCERN REU 2013BE-ABP-CC3
WITH THANKS TO:ROGELIO TOMAS GARCIAJAVIER BARRANCO GARCIA
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BE – ABP – CC3
Beams department
Accelerator Beam Physics
CLIC + CTF3
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BE – ABP – CC3
Beams department
Accelerator Beam Physics
CLIC + CTF3
Rogelio TomasJavier Barranco
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CLIC is a “compact” linear collider.
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The Final Focus System is part of the Beam Delivery System.The Final Focus System (FFS) is focuses the beam near the interaction point (IP).
Within the FFS, there are nine sextupoles that can focus a beam with energy spread.
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The sextupoles can have their location and strength adjusted to minimize sigma.
The program MapClass2 simulates the beam and the FFS system.
While higher order calculations of the beam spread are necessary, they are time consuming.
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Nelder Mead’s Simplex Method will be used to minimize beam size.
There is no guarantee that the original Nelder Mead’s Simplex Method will look in the right direction, i.e. down the steepest gradient.
Improved Nelder Mead method calculates pseudo-gradients to improve the search direction.
We must adjust the original simplex code and apply it to ALL sextupoles’ positions and strengths.
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Anticipated obstacles:I’m new to Python.
I’ve been calculating σx. I want χ2.
Accuracy increases calculation time.
10-dimensional simplexes will be difficult to minimize.
Basically, there are many small things to change in the program that optimize the output and it will take a lot of time to find the best parameters.
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I want to see mountains again, mountains, Gandalf!