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@oscarxblanco
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Dear all,
this is a Work-In-Progress branch open to address the limitations on the frequency map analysis found by @TeresiaOlsson and mentioned here #755.

No need to review yet.

@oscarxblanco oscarxblanco added the WIP work in progress label Apr 17, 2024
@oscarxblanco
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Dear @TeresiaOlsson ,

here is a script you could use to start the test on the function get_freqmap. Please, try it with a ring you have.
This function runs well on the axes ['x','y']. It also works on ['x','dp'] but I have not checked if the results make sense.

Best regards,
o

''' 
This file is used to test the new function get_freqmap
oblanco 2024apr16
'''
import at
import numpy
from matplotlib import pyplot as plt

print(f'{at.__version__}=')

ring = at.load_mat('testring.mat')
# ring.disable_6d()
print(f'{ring.get_tune()=}')

fmaout = at.get_freqmap(ring,
                     ['x','y'],
                     numpy.array([200,200]),
                     numpy.array([10e-3,10e-3]),
                     bounds=[[-1,1],[0,1]],
                     verbose=True,
                     )

fmadata = fmaout[0][0]

print('Plot')
# plot diffusion map
fig = plt.figure()
sc = plt.scatter(1e3*fmadata[:,0],1e3*fmadata[:,1],c=fmadata[:,6],s=1)
plt.grid()
plt.xlabel(r'x (mm)')
plt.ylabel(r'y (mm)')
plt.xlim(-10,10)
plt.ylim(-5,5)
clb = plt.colorbar(sc)
clb.ax.set_title(r'$\log_{10} \sqrt{(\Delta\nu_x^2 + \Delta\nu_y^2)/turn}$')
plt.savefig('diffussionmap.pdf')


# plot frequency map
fig = plt.figure()
sc = plt.scatter(fmadata[:,2],fmadata[:,3],c=fmadata[:,6],s=1)
plt.grid()
plt.xlim(0,0.5)
plt.ylim(0,0.5)
plt.xlabel(r'$\nu_x$')
plt.ylabel(r'$\nu_y$')
clb = plt.colorbar(sc)
clb.ax.set_title(r'$\log_{10} \sqrt{(\Delta\nu_x^2 + \Delta\nu_y^2)/turn}$')
plt.savefig('fmap.pdf')

@oscarxblanco oscarxblanco added the Python For python AT code label Apr 17, 2024
@oscarxblanco
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Dear @TeresiaOlsson ,
I might be back to this request on the following days. Have you tried this function ?
Do you have any suggestion ?

Best regards,
o

@oscarxblanco
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Dear @swhite2401 and @lfarv ,
in order to parallelize the frequency map I would need to use a large amount of memory to store the data of the turn by turn tracking. @swhite2401 proposed to track by chunks of particles (#811 (comment) )
At the moment I use psutils to estimate the free memory, and adjust the chunk size accordingly, but, it seems that is not yet used or installed. Could we included ? Or is there another package that could give the free memory information ? Or is there another solution to check ?

@swhite2401
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Hi @oscarxblanco this one has been stale for a while.... is the solution with psutil working? Any help needed?

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4 participants