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* Transversal Alignment: Mixin Class Create a mixin class that can be used for transversal alignment offsets and tilts. Co-authored-by: Chad Mitchell <[email protected]> * Update Elements for `Alignment` Support Co-authored-by: Chad Mitchell <[email protected]> * Inputs: `ParmParse` w/ Alignment * Inputs: Python w/ Alignment * Docs: Alignment Input * Reword Rotation Error Docstring Now: `rotation error in the transverse plane` * Add misalignment example. * Alignment Example: Docs & CMake * Fix Python Example: Protons --------- Co-authored-by: Chad Mitchell <[email protected]>
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.. _examples-alignment: | ||
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Quadrupole with Alignment Errors | ||
================================ | ||
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A 2 GeV proton beam propagates through a single quadrupole with 3 mm horizontal misalignment and 30 degree rotation error. | ||
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The first and second moments of the particle distribution before and after the quadrupole should coincide with | ||
analytical predictions, to within the level expected due to noise due to statistical sampling. | ||
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In this test, the initial and final values of :math:`\mu_x`, :math:`\mu_y`, :math:`\sigma_x`, :math:`\sigma_y`, | ||
:math:`\sigma_t`, :math:`\epsilon_x`, :math:`\epsilon_y`, and :math:`\epsilon_t` must agree with nominal values. | ||
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Run | ||
--- | ||
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This example can be run **either** as: | ||
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* **Python** script: ``python3 run_alignment.py`` or | ||
* ImpactX **executable** using an input file: ``impactx input_alignment.in`` | ||
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For `MPI-parallel <https://www.mpi-forum.org>`__ runs, prefix these lines with ``mpiexec -n 4 ...`` or ``srun -n 4 ...``, depending on the system. | ||
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.. tab-set:: | ||
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.. tab-item:: Python: Script | ||
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.. literalinclude:: run_alignment.py | ||
:language: python3 | ||
:caption: You can copy this file from ``examples/alignment/run_alignment.py``. | ||
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.. tab-item:: Executable: Input File | ||
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.. literalinclude:: input_alignment.in | ||
:language: ini | ||
:caption: You can copy this file from ``examples/alignment/input_alignment.in``. | ||
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Analyze | ||
------- | ||
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We run the following script to analyze correctness: | ||
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.. dropdown:: Script ``analysis_alignment.py`` | ||
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.. literalinclude:: analysis_alignment.py | ||
:language: python3 | ||
:caption: You can copy this file from ``examples/alignment/analysis_alignment.py``. |
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#!/usr/bin/env python3 | ||
# | ||
# Copyright 2022-2023 ImpactX contributors | ||
# Authors: Axel Huebl, Chad Mitchell | ||
# License: BSD-3-Clause-LBNL | ||
# | ||
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import numpy as np | ||
import openpmd_api as io | ||
from scipy.stats import moment, tmean | ||
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def get_moments(beam): | ||
"""Calculate standard deviations of beam position & momenta | ||
and emittance values | ||
Returns | ||
------- | ||
meanx, meany, sigx, sigy, sigt, emittance_x, emittance_y, emittance_t | ||
""" | ||
meanx = tmean(beam["position_x"]) | ||
meany = tmean(beam["position_y"]) | ||
sigx = moment(beam["position_x"], moment=2) ** 0.5 # variance -> std dev. | ||
sigpx = moment(beam["momentum_x"], moment=2) ** 0.5 | ||
sigy = moment(beam["position_y"], moment=2) ** 0.5 | ||
sigpy = moment(beam["momentum_y"], moment=2) ** 0.5 | ||
sigt = moment(beam["position_t"], moment=2) ** 0.5 | ||
sigpt = moment(beam["momentum_t"], moment=2) ** 0.5 | ||
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epstrms = beam.cov(ddof=0) | ||
emittance_x = ( | ||
sigx**2 * sigpx**2 - epstrms["position_x"]["momentum_x"] ** 2 | ||
) ** 0.5 | ||
emittance_y = ( | ||
sigy**2 * sigpy**2 - epstrms["position_y"]["momentum_y"] ** 2 | ||
) ** 0.5 | ||
emittance_t = ( | ||
sigt**2 * sigpt**2 - epstrms["position_t"]["momentum_t"] ** 2 | ||
) ** 0.5 | ||
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return (meanx, meany, sigx, sigy, sigt, emittance_x, emittance_y, emittance_t) | ||
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# initial/final beam | ||
series = io.Series("diags/openPMD/monitor.h5", io.Access.read_only) | ||
last_step = list(series.iterations)[-1] | ||
initial = series.iterations[1].particles["beam"].to_df() | ||
final = series.iterations[last_step].particles["beam"].to_df() | ||
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# compare number of particles | ||
num_particles = 100000 | ||
assert num_particles == len(initial) | ||
assert num_particles == len(final) | ||
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print("Initial Beam:") | ||
meanx, meany, sigx, sigy, sigt, emittance_x, emittance_y, emittance_t = get_moments( | ||
initial | ||
) | ||
print(f" meanx={meanx:e} meany={meany:e}") | ||
print(f" sigx={sigx:e} sigy={sigy:e} sigt={sigt:e}") | ||
print( | ||
f" emittance_x={emittance_x:e} emittance_y={emittance_y:e} emittance_t={emittance_t:e}" | ||
) | ||
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atol = 3.0 * num_particles ** (-0.5) * sigx | ||
print(f" atol~={atol}") | ||
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assert np.allclose( | ||
[meanx, meany], | ||
[ | ||
0.0, | ||
0.0, | ||
], | ||
atol=atol, | ||
) | ||
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atol = 0.0 # ignored | ||
rtol = 1.8 * num_particles**-0.5 # from random sampling of a smooth distribution | ||
print(f" rtol={rtol} (ignored: atol~={atol})") | ||
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assert np.allclose( | ||
[sigx, sigy, sigt, emittance_x, emittance_y, emittance_t], | ||
[ | ||
1.160982600086e-3, | ||
1.160982600086e-3, | ||
1.0e-3, | ||
6.73940299e-7, | ||
6.73940299e-7, | ||
2.0e-6, | ||
], | ||
rtol=rtol, | ||
atol=atol, | ||
) | ||
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print("") | ||
print("Final Beam:") | ||
meanx, meany, sigx, sigy, sigt, emittance_x, emittance_y, emittance_t = get_moments( | ||
final | ||
) | ||
print(f" meanx={meanx:e} meany={meany:e}") | ||
print(f" sigx={sigx:e} sigy={sigy:e} sigt={sigt:e}") | ||
print( | ||
f" emittance_x={emittance_x:e} emittance_y={emittance_y:e} emittance_t={emittance_t:e}" | ||
) | ||
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atol = 3.0 * num_particles ** (-0.5) * sigx | ||
print(f" atol~={atol}") | ||
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assert np.allclose( | ||
[meanx, meany], | ||
[ | ||
1.79719761842e-4, | ||
3.24815908981e-4, | ||
], | ||
atol=atol, | ||
) | ||
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atol = 0.0 # ignored | ||
rtol = 3.0 * num_particles**-0.5 # from random sampling of a smooth distribution | ||
print(f" rtol={rtol} (ignored: atol~={atol})") | ||
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assert np.allclose( | ||
[sigx, sigy, sigt, emittance_x, emittance_y, emittance_t], | ||
[ | ||
1.2372883901369e-3, | ||
1.3772750218080e-3, | ||
1.027364e-03, | ||
7.39388142e-7, | ||
7.39388142e-7, | ||
2.0e-6, | ||
], | ||
rtol=rtol, | ||
atol=atol, | ||
) |
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############################################################################### | ||
# Particle Beam(s) | ||
############################################################################### | ||
beam.npart = 100000 | ||
beam.units = static | ||
beam.kin_energy = 2.0e3 | ||
beam.charge = 1.0e-9 | ||
beam.particle = proton | ||
beam.distribution = waterbag | ||
beam.sigmaX = 1.16098260008648811e-3 | ||
beam.sigmaY = 1.16098260008648811e-3 | ||
beam.sigmaT = 1.0e-3 | ||
beam.sigmaPx = 0.580491300043e-3 | ||
beam.sigmaPy = 0.580491300043e-3 | ||
beam.sigmaPt = 2.0e-3 | ||
beam.muxpx = 0.0 | ||
beam.muypy = 0.0 | ||
beam.mutpt = 0.0 | ||
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############################################################################### | ||
# Beamline: lattice elements and segments | ||
############################################################################### | ||
lattice.elements = monitor quad_err monitor | ||
lattice.nslice = 1 | ||
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monitor.type = beam_monitor | ||
monitor.backend = h5 | ||
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quad_err.type = quad | ||
quad_err.ds = 1.0 | ||
quad_err.k = 0.25 | ||
quad_err.dx = 0.003 | ||
quad_err.rotation = 30.0 | ||
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############################################################################### | ||
# Algorithms | ||
############################################################################### | ||
algo.particle_shape = 2 | ||
algo.space_charge = false | ||
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############################################################################### | ||
# Diagnostics | ||
############################################################################### | ||
diag.slice_step_diagnostics = true |
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#!/usr/bin/env python3 | ||
# | ||
# Copyright 2022-2023 ImpactX contributors | ||
# Authors: Axel Huebl, Chad Mitchell | ||
# License: BSD-3-Clause-LBNL | ||
# | ||
# -*- coding: utf-8 -*- | ||
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import amrex.space3d as amr | ||
from impactx import ImpactX, RefPart, distribution, elements | ||
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sim = ImpactX() | ||
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# set numerical parameters and IO control | ||
sim.particle_shape = 2 # B-spline order | ||
sim.space_charge = False | ||
# sim.diagnostics = False # benchmarking | ||
sim.slice_step_diagnostics = True | ||
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# domain decomposition & space charge mesh | ||
sim.init_grids() | ||
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# load a 2 GeV proton beam | ||
kin_energy_MeV = 2.0e3 # reference energy | ||
bunch_charge_C = 1.0e-9 # used with space charge | ||
npart = 100000 # number of macro particles | ||
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# reference particle | ||
ref = sim.particle_container().ref_particle() | ||
ref.set_charge_qe(1.0).set_mass_MeV(938.27208816).set_kin_energy_MeV(kin_energy_MeV) | ||
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# particle bunch | ||
distr = distribution.Waterbag( | ||
sigmaX=1.16098260008648811e-3, | ||
sigmaY=1.16098260008648811e-3, | ||
sigmaT=1.0e-3, | ||
sigmaPx=0.580491300043e-3, | ||
sigmaPy=0.580491300043e-3, | ||
sigmaPt=2.0e-3, | ||
muxpx=0.0, | ||
muypy=0.0, | ||
mutpt=0.0, | ||
) | ||
sim.add_particles(bunch_charge_C, distr, npart) | ||
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# add beam diagnostics | ||
monitor = elements.BeamMonitor("monitor", backend="h5") | ||
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# design the accelerator lattice) | ||
ns = 1 # number of slices per ds in the element | ||
lattice = [ | ||
monitor, | ||
elements.Quad(ds=1.0, k=0.25, dx=0.003, dy=0.0, rotation=30.0, nslice=ns), | ||
monitor, | ||
] | ||
sim.lattice.extend(lattice) | ||
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# run simulation | ||
sim.evolve() | ||
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# clean shutdown | ||
del sim | ||
amr.finalize() |
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