ocelot.cpbd.track
¶
Module Contents¶
Classes¶
Functions¶
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the function search peaks of spectrum and return positions of all peaks |
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input: 1D sample data |
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input: 1D array and value |
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input: 1D array and value |
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function searches three highest harmonics and return: |
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the function defines contour of DA. If particle “lived” > lvl*nturns then we set up nturns |
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curved line of second order |
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the function create list of Pxy |
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tracking for a fixed step dz |
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tracking through the lattice |
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ocelot.cpbd.track.
_logger
¶
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ocelot.cpbd.track.
extrema_chk
= 1¶
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ocelot.cpbd.track.
aperture_limit
(lat, xlim=1, ylim=1)¶
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ocelot.cpbd.track.
arg_peaks
(data, extrema_chk=extrema_chk)¶ the function search peaks of spectrum and return positions of all peaks if extrema_chk == 1 uses numpy module if extrema_chk == 0 uses independent code (see below)
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ocelot.cpbd.track.
spectrum
(data1D)¶ input: 1D sample data output: frequency and fourier transform
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ocelot.cpbd.track.
find_nearest
(positions, value)¶ input: 1D array and value the function searches nearest value in the array to the given value
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ocelot.cpbd.track.
find_highest
(sorted_posns, value, diap)¶ input: 1D array and value the function searches highest value in the array to the given value
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ocelot.cpbd.track.
nearest_particle
(track_list, xi, yi)¶
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ocelot.cpbd.track.
harmonic_position
(data1D, nu=None, diap=0.1, nearest=False)¶ function searches three highest harmonics and return: a. the highest if nu == None b. the nearest harmonics to the nu (if nu != None)
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ocelot.cpbd.track.
freq_analysis
(track_list, lat, nturns, harm=True, diap=0.1, nearest=False, nsuperperiods=1)¶
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class
ocelot.cpbd.track.
Track_info
(particle, x=0.0, y=0.0)¶ -
get_x
(self)¶
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get_xp
(self)¶
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get_y
(self)¶
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get_yp
(self)¶
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ocelot.cpbd.track.
contour_da
(track_list, nturns, lvl=0.9)¶ the function defines contour of DA. If particle “lived” > lvl*nturns then we set up nturns if particle “lived” < lvl*nturns then we set up 0
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ocelot.cpbd.track.
stable_particles
(track_list, nturns)¶
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ocelot.cpbd.track.
phase_space_transform
(x, y, tws)¶ curved line of second order a11*x**2 + a22*y**2 + 2*a12*x*y + 2*a13*x + 2*a23*y + a33 = 0 gamma*x**2 + 2*alpha*x*x’ + beta*x’**2 = const
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ocelot.cpbd.track.
create_track_list
(x_array, y_array, p_array, energy=0.0)¶ the function create list of Pxy
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ocelot.cpbd.track.
ellipse_track_list
(beam, n_t_sigma=3, num=1000, type='contour')¶
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ocelot.cpbd.track.
track_nturns
(lat, nturns, track_list, nsuperperiods=1, save_track=True, print_progress=True)¶
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ocelot.cpbd.track.
track_nturns_mpi
(mpi_comm, lat, nturns, track_list, errors=None, nsuperperiods=1, save_track=True)¶
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ocelot.cpbd.track.
fma
(lat, nturns, x_array, y_array, nsuperperiods=1)¶
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ocelot.cpbd.track.
da_mpi
(lat, nturns, x_array, y_array, errors=None, nsuperperiods=1)¶
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ocelot.cpbd.track.
tracking_step
(lat, particle_list, dz, navi)¶ tracking for a fixed step dz :param lat: Magnetic Lattice :param particle_list: ParticleArray or Particle list :param dz: step in [m] :param navi: Navigator :return: None
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ocelot.cpbd.track.
track
(lattice, p_array, navi, print_progress=True, calc_tws=True, bounds=None)¶ tracking through the lattice
- Parameters
lattice – Magnetic Lattice
p_array – ParticleArray
navi – Navigator
print_progress – True, print tracking progress
calc_tws – True, during the tracking twiss parameters are calculated from the beam distribution
bounds – None, optional, [left_bound, right_bound] - bounds in units of std(p_array.tau())
- Returns
twiss_list, ParticleArray. In case calc_tws=False, twiss_list is list of empty Twiss classes.
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ocelot.cpbd.track.
lattice_track
(lat, p)¶
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ocelot.cpbd.track.
merge_drifts
(lat)¶
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ocelot.cpbd.track.
update_effective_beta
(beam, lat)¶