cta_2085mev_xr20m_20091205.lat With Errors

Note: These results are not valid. Errors in the code have been corrected. See later results. -JSh, 2010.04.23

Summary: Start with XR20m lattice and add errors at the following levels:

Note: these values come from the most recent survey data. Generate errors in ring_ma and simulate correction using a 2-stage technique:

Horizontal steerings aren't necessary, because the horizontal orbit is not perturbed significantly using these misalignment parameters. Apply these errors at 1/10, 1/2, and full values.

Run a tune scan on each resulting lattice from 0.5-0.666 in 0.002 steps. Plot the resulting data using a Python plotting script to ensure all scales are equivalent.

0% Errors (Ideal Lattice)

make_inputs.py
No ring_ma data for this scenario.


10% Errors

make_inputs.py
ring_ma.in
ring_ma.out
ma_lat.bmad


50% Errors

make_inputs.py
ring_ma.in
ring_ma.out
ma_lat.bmad


100% Errors

make_inputs.py
ring_ma.in
ring_ma.out
ma_lat.bmad


Summary

If we are to believe these results, this lattice is extremely sensitive to errors. There seems to be no fundamental difference between 10% and 100% errors, so far as the tune scan is concerned.

It also seems the 2Qx+Qz, 2Qx, and 2/3 Qx resonances disappear immediately when errors are applied. I am skeptical about this result. The primary resonances remaining are mQx + nQy + pQz, with m,n != 0.



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