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Transverse Alignment Support (#490)
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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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ax3l and cemitch99 authored Jan 3, 2024
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2 changes: 1 addition & 1 deletion docs/source/index.rst
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Expand Up @@ -65,9 +65,9 @@ Usage
:hidden:

usage/how_to_run
usage/examples
usage/python
usage/parameters
usage/examples
usage/workflows

Data Analysis
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1 change: 1 addition & 0 deletions docs/source/usage/examples.rst
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Expand Up @@ -13,6 +13,7 @@ This section allows you to **download input files** that correspond to different
examples/cfchannel/README.rst
examples/expanding_beam/README.rst
examples/kurth/README.rst
examples/alignment/README.rst
examples/rfcavity/README.rst
examples/fodo_rf/README.rst
examples/fodo_chromatic/README.rst
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133 changes: 66 additions & 67 deletions docs/source/usage/parameters.rst

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121 changes: 93 additions & 28 deletions docs/source/usage/python.rst

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18 changes: 18 additions & 0 deletions examples/CMakeLists.txt
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Expand Up @@ -780,3 +780,21 @@ add_impactx_test(apochromat.py
examples/apochromatic/analysis_apochromatic.py
OFF # no plot script yet
)

# Misalignment Quad ###########################################################
#
# w/o space charge
add_impactx_test(alignment
examples/alignment/input_alignment.in
ON # ImpactX MPI-parallel
OFF # ImpactX Python interface
examples/alignment/analysis_alignment.py
OFF # no plot script yet
)
add_impactx_test(alignment.py
examples/alignment/run_alignment.py
OFF # ImpactX MPI-parallel
ON # ImpactX Python interface
examples/alignment/analysis_alignment.py
OFF # no plot script yet
)
49 changes: 49 additions & 0 deletions examples/alignment/README.rst
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.. _examples-alignment:

Quadrupole with Alignment Errors
================================

A 2 GeV proton beam propagates through a single quadrupole with 3 mm horizontal misalignment and 30 degree rotation error.

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.

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.


Run
---

This example can be run **either** as:

* **Python** script: ``python3 run_alignment.py`` or
* ImpactX **executable** using an input file: ``impactx input_alignment.in``

For `MPI-parallel <https://www.mpi-forum.org>`__ runs, prefix these lines with ``mpiexec -n 4 ...`` or ``srun -n 4 ...``, depending on the system.

.. tab-set::

.. tab-item:: Python: Script

.. literalinclude:: run_alignment.py
:language: python3
:caption: You can copy this file from ``examples/alignment/run_alignment.py``.

.. tab-item:: Executable: Input File

.. literalinclude:: input_alignment.in
:language: ini
:caption: You can copy this file from ``examples/alignment/input_alignment.in``.


Analyze
-------

We run the following script to analyze correctness:

.. dropdown:: Script ``analysis_alignment.py``

.. literalinclude:: analysis_alignment.py
:language: python3
:caption: You can copy this file from ``examples/alignment/analysis_alignment.py``.
137 changes: 137 additions & 0 deletions 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
#


import numpy as np
import openpmd_api as io
from scipy.stats import moment, tmean


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

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

return (meanx, meany, sigx, sigy, sigt, emittance_x, emittance_y, emittance_t)


# 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()

# compare number of particles
num_particles = 100000
assert num_particles == len(initial)
assert num_particles == len(final)

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}"
)

atol = 3.0 * num_particles ** (-0.5) * sigx
print(f" atol~={atol}")

assert np.allclose(
[meanx, meany],
[
0.0,
0.0,
],
atol=atol,
)

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})")

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,
)


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}"
)


atol = 3.0 * num_particles ** (-0.5) * sigx
print(f" atol~={atol}")

assert np.allclose(
[meanx, meany],
[
1.79719761842e-4,
3.24815908981e-4,
],
atol=atol,
)

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})")

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,
)
47 changes: 47 additions & 0 deletions examples/alignment/input_alignment.in
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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


###############################################################################
# Beamline: lattice elements and segments
###############################################################################
lattice.elements = monitor quad_err monitor
lattice.nslice = 1

monitor.type = beam_monitor
monitor.backend = h5

quad_err.type = quad
quad_err.ds = 1.0
quad_err.k = 0.25
quad_err.dx = 0.003
quad_err.rotation = 30.0


###############################################################################
# Algorithms
###############################################################################
algo.particle_shape = 2
algo.space_charge = false


###############################################################################
# Diagnostics
###############################################################################
diag.slice_step_diagnostics = true
63 changes: 63 additions & 0 deletions examples/alignment/run_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
#
# -*- coding: utf-8 -*-

import amrex.space3d as amr
from impactx import ImpactX, RefPart, distribution, elements

sim = ImpactX()

# 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

# domain decomposition & space charge mesh
sim.init_grids()

# 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

# 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)

# 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)

# add beam diagnostics
monitor = elements.BeamMonitor("monitor", backend="h5")

# 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)

# run simulation
sim.evolve()

# clean shutdown
del sim
amr.finalize()
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