cta_2085mev_xr20m_20091205.lat With Errors

Summary: Typo in tune_scan corrected (not all quads were being used). Re-run jobs from 2010.03.03 and 2010.03.04. 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


Lower-Amplitude; Same Misalignments

Using the same set of misalignments in the post from 2010.03.03, try reducing amplitudes to 10% and 50% of original values. Do this for ideal lattice, 10% misalignments, and 100% misalignments.

For all plots in this section, color scale goes from 0-1.1 (normally 0-2.5)

Ideal Lattice (No Misalignments)

10% Amplitudes

make_inputs.py


50% Amplitudes

make_inputs.py


10% Misalignments

ring_ma.in
ring_ma.out
ma_lat.bmad

10% Amplitudes

make_inputs.py


50% Amplitudes

make_inputs.py


100% Misalignments

ring_ma.in
ring_ma.out
ma_lat.bmad

10% Amplitudes

make_inputs.py


50% Amplitudes

make_inputs.py




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