Parameters: Python
This documents on how to use ImpactX as a Python script (python3 run_script.py
).
General
- class impactx.ImpactX
This is the central simulation class.
- property particle_shape
Control the particle B-spline order.
The order of the shape factors (splines) for the macro-particles along all spatial directions: 1 for linear, 2 for quadratic, 3 for cubic. Low-order shape factors result in faster simulations, but may lead to more noisy results. High-order shape factors are computationally more expensive, but may increase the overall accuracy of the results. For production runs it is generally safer to use high-order shape factors, such as cubic order.
- Parameters
order (int) – B-spline order
1
,2
, or3
- property n_cell
The number of grid points along each direction on the coarsest level.
- property domain
The physical extent of the full simulation domain, relative to the reference particle position, in meters. When set, turns
dynamic_size
toFalse
.Note: particles that move outside the simulation domain are removed.
- property prob_relative
The field mesh is expanded beyond the physical extent of particles by this factor. When set, turns
dynamic_size
toTrue
.
- property dynamic_size
Use dynamic (
True
) resizing of the field mesh or static sizing (False
).
- property space_charge
Enable (
True
) or disable (False
) space charge calculations (default:True
).Whether to calculate space charge effects. This is in-development. At the moment, this flag only activates coordinate transformations and charge deposition.
- property diagnostics
Enable (
True
) or disable (False
) diagnostics generally (default:True
). Disabling this is mostly used for benchmarking.
- property slice_step_diagnostics
Enable (
True
) or disable (False
) diagnostics every slice step in elements (default:True
).By default, diagnostics is performed at the beginning and end of the simulation. Enabling this flag will write diagnostics every step and slice step.
- property diag_file_min_digits
The minimum number of digits (default:
6
) used for the step number appended to the diagnostic file names.
- init_grids()
Initialize AMReX blocks/grids for domain decomposition & space charge mesh.
This must come first, before particle beams and lattice elements are initialized.
- add_particles(charge_C, distr, npart)
Generate and add n particles to the particle container. Note: Set the reference particle properties (charge, mass, energy) first.
Will also resize the geometry based on the updated particle distribution’s extent and then redistribute particles in according AMReX grid boxes.
- Parameters
charge_C (float) – bunch charge (C)
distr – distribution function to draw from (object from
impactx.distribution
)npart (int) – number of particles to draw
- particle_container()
Access the beam particle container (
impactx.ParticleContainer
).
- property lattice
Access the elements in the accelerator lattice. See
impactx.elements
for lattice elements.
- property abort_on_warning_threshold
(optional) Set to “low”, “medium” or “high”. Cause the code to abort if a warning is raised that exceeds the warning threshold.
- property abort_on_unused_inputs
Set to
1
to cause the simulation to fail after its completion if there were unused parameters. (default:0
for false) It is mainly intended for continuous integration and automated testing to check that all tests and inputs are adapted to API changes.
- property always_warn_immediately
If set to
1
, ImpactX immediately prints every warning message as soon as it is generated. (default:0
for false) It is mainly intended for debug purposes, in case a simulation crashes before a global warning report can be printed.
- evolve()
Run the main simulation loop for a number of steps.
- class impactx.Config
Configuration information on ImpactX that were set at compile-time.
- property have_mpi
Indicates multi-process/multi-node support via the message-passing interface (MPI). Possible values:
True
/False
Note
Particle beam particles are not yet dynamically load balanced. Please see the progress in issue 198.
- property have_gpu
Indicates GPU support. Possible values:
True
/False
- property gpu_backend
Indicates the available GPU support. Possible values:
None
,"CUDA"
(for Nvidia GPUs),"HIP"
(for AMD GPUs) or"SYCL"
(for Intel GPUs).
- property have_omp
Indicates multi-threaded CPU support via OpenMP. Possible values:
True
/False`
Set the environment variable
OMP_NUM_THREADS
to control the number of threads.Note
Not yet implemented. Please see the progress in issue 195.
Warning
By default, OpenMP spawns as many threads as there are available virtual cores on a host. When MPI and OpenMP support are used at the same time, it can easily happen that one over-subscribes the available physical CPU cores. This will lead to a severe slow-down of the simulation.
By setting appropriate environment variables for OpenMP, ensure that the number of MPI processes (ranks) per node multiplied with the number of OpenMP threads is equal to the number of physical (or virtual) CPU cores. Please see our examples in the high-performance computing (HPC) on how to run efficiently in parallel environments such as supercomputers.
Particles
- class impactx.ParticleContainer
Beam Particles in ImpactX.
This class stores particles, distributed over MPI ranks.
- add_n_particles(lev, x, y, z, px, py, pyz, qm, bchchg)
Add new particles to the container
- Note: This can only be used after the initialization (grids) have
been created, meaning after the call to
ImpactX.init_grids()
has been made in the ImpactX class.
- Parameters
lev – mesh-refinement level
x – positions in x
y – positions in y
z – positions in z
px – momentum in x
py – momentum in y
pz – momentum in z
qm – charge over mass in 1/eV
bchchg – total charge within a bunch in C
- ref_particle()
Access the reference particle (
impactx.RefPart
).- Returns
return a data reference to the reference particle
- Return type
- set_ref_particle(refpart)
Set reference particle attributes.
- Parameters
refpart (impactx.RefPart) – a reference particle to copy all attributes from
- class impactx.RefPart
This struct stores the reference particle attributes stored in
impactx.ParticleContainer
.- property s
integrated orbit path length, in meters
- property x
horizontal position x, in meters
- property y
vertical position y, in meters
- property z
longitudinal position y, in meters
- property t
clock time * c in meters
- property px
momentum in x, normalized to proper velocity
- property py
momentum in y, normalized to proper velocity
- property pz
momentum in z, normalized to proper velocity
- property pt
energy deviation, normalized by rest energy
- property gamma
Read-only: Get reference particle relativistic gamma.
- property beta
Read-only: Get reference particle relativistic beta.
- property beta_gamma
Read-only: Get reference particle beta*gamma
- property qm_qeeV
Read-only: Get reference particle charge to mass ratio (elementary charge/eV)
- set_charge_qe(charge_qe)
Write-only: Set reference particle charge in (positive) elementary charges.
- set_mass_MeV(massE)
Write-only: Set reference particle rest mass (MeV/c^2).
- set_energy_MeV(energy_MeV)
Write-only: Set reference particle energy.
- load_file(madx_file)
Load reference particle information from a MAD-X file.
- Parameters
madx_file – file name to MAD-X file with a
BEAM
entry
Initial Beam Distributions
This module provides particle beam distributions that can be used to initialize particle beams in an impactx.ParticleContainer
.
- class impactx.distribution.Gaussian(sigx, sigy, sigt, sigpx, sigpy, sigpt, muxpx=0.0, muypy=0.0, mutpt=0.0)
A 6D Gaussian distribution.
- Parameters
sigx – for zero correlation, these are the related RMS sizes (in meters)
sigy – see sigx
sigt – see sigx
sigpx – RMS momentum
sigpy – see sigpx
sigpt – see sigpx
muxpx – correlation length-momentum
muypy – see muxpx
mutpt – see muxpx
- class impactx.distribution.Kurth4D(sigx, sigy, sigt, sigpx, sigpy, sigpt, muxpx=0.0, muypy=0.0, mutpt=0.0)
A 4D Kurth distribution transversely + a uniform distribution it t + a Gaussian distribution in pt.
- class impactx.distribution.Kurth6D(sigx, sigy, sigt, sigpx, sigpy, sigpt, muxpx=0.0, muypy=0.0, mutpt=0.0)
A 6D Kurth distribution.
R. Kurth, Quarterly of Applied Mathematics vol. 32, pp. 325-329 (1978) C. Mitchell, K. Hwang and R. D. Ryne, IPAC2021, WEPAB248 (2021)
- class impactx.distribution.KVdist(sigx, sigy, sigt, sigpx, sigpy, sigpt, muxpx=0.0, muypy=0.0, mutpt=0.0)
A K-V distribution transversely + a uniform distribution it t + a Gaussian distribution in pt.
- class impactx.distribution.None
This distribution does nothing.
- class impactx.distribution.Semigaussian(sigx, sigy, sigt, sigpx, sigpy, sigpt, muxpx=0.0, muypy=0.0, mutpt=0.0)
A 6D Semi-Gaussian distribution (uniform in position, Gaussian in momentum).
- class impactx.distribution.Waterbag(sigx, sigy, sigt, sigpx, sigpy, sigpt, muxpx=0.0, muypy=0.0, mutpt=0.0)
A 6D Waterbag distribution.
Lattice Elements
This module provides elements for the accelerator lattice.
- class impactx.elements.KnownElementsList
An iterable,
list
-like type of elements.- clear()
Clear the list to become empty.
- extend(list)
Add a list of elements to the list.
- append(element)
Add a single element to the list.
- load_file(madx_file, nslice=1)
Load and append an accelerator lattice description from a MAD-X file.
- Parameters
madx_file – file name to MAD-X file with beamline elements
nslice – number of slices used for the application of space charge
- class impactx.elements.ConstF(ds, kx, ky, kt, nslice=1)
A linear Constant Focusing element.
- Parameters
ds – Segment length in m.
kx – Focusing strength for x in 1/m.
ky – Focusing strength for y in 1/m.
kt – Focusing strength for t in 1/m.
nslice – number of slices used for the application of space charge
- class impactx.elements.DipEdge(psi, rc, g, K2)
Edge focusing associated with bend entry or exit
This model assumes a first-order effect of nonzero gap. Here we use the linear fringe field map, given to first order in g/rc (gap / radius of curvature).
References: * K. L. Brown, SLAC Report No. 75 (1982). * K. Hwang and S. Y. Lee, PRAB 18, 122401 (2015).
- Parameters
psi – Pole face angle in rad
rc – Radius of curvature in m
g – Gap parameter in m
K2 – Fringe field integral (unitless)
- class impactx.elements.Drift(ds, nslice=1)
A drift.
- Parameters
ds – Segment length in m
nslice – number of slices used for the application of space charge
- class impactx.elements.Multipole(multipole, K_normal, K_skew)
A general thin multipole element.
- Parameters
multipole – index m (m=1 dipole, m=2 quadrupole, m=3 sextupole etc.)
K_normal – Integrated normal multipole coefficient (1/meter^m)
K_skew – Integrated skew multipole coefficient (1/meter^m)
- class impactx.elements.NonlinearLens(knll, cnll)
Single short segment of the nonlinear magnetic insert element.
A thin lens associated with a single short segment of the nonlinear magnetic insert described by V. Danilov and S. Nagaitsev, PRSTAB 13, 084002 (2010), Sect. V.A. This element appears in MAD-X as type NLLENS.
- Parameters
knll – integrated strength of the nonlinear lens (m)
cnll – distance of singularities from the origin (m)
- class impactx.elements.BeamMonitor(name, backend='default', encoding='g')
A beam monitor, writing all beam particles at fixed
s
to openPMD files.If the same element
name
is used multiple times, then an output series is created with multiple outputs.The I/O backend for openPMD data dumps.
bp
is the ADIOS2 I/O library,h5
is the HDF5 format, andjson
is a simple text format.json
only works with serial/single-rank jobs. By default, the first available backend in the order given above is taken.openPMD iteration encoding determines if multiple files are created for individual output steps or not. Variable based is an experimental feature with ADIOS2.
- Parameters
name – name of the series
backend – I/O backend, e.g.,
bp
,h5
,json
encoding – openPMD iteration encoding: (v)ariable based, (f)ile based, (g)roup based (default)
- class impactx.elements.Programmable
A programmable beam optics element.
This element can be programmed to receive callback hooks into Python functions.
- property beam_particles
This is a function hook for pushing all beam particles. This accepts a function or lambda with the following arguments:
- property ref_particle
This is a function hook for pushing the reference particle. This accepts a function or lambda with the following argument:
- class impactx.elements.Quad(ds, k, nslice=1)
A Quadrupole magnet.
- Parameters
ds – Segment length in m.
k – Quadrupole strength in m^(-2) (MADX convention) = (gradient in T/m) / (rigidity in T-m) k > 0 horizontal focusing k < 0 horizontal defocusing
nslice – number of slices used for the application of space charge
- class impactx.elements.RFCavity(ds, escale, freq, phase, mapsteps, nslice)
A radiofrequency cavity.
- Parameters
ds – Segment length in m.
escale – scaling factor for on-axis RF electric field in 1/m = (peak on-axis electric field Ez in MV/m) / (particle rest energy in MeV)
freq – RF frequency in Hz
phase – RF driven phase in degrees
cos_coefficients – array of
float
cosine coefficients in Fourier expansion of on-axis electric field Ez (optional); default is a 9-cell TESLA superconducting cavity model from DOI:10.1103/PhysRevSTAB.3.092001cos_coefficients – array of
float
sine coefficients in Fourier expansion of on-axis electric field Ez (optional); default is a 9-cell TESLA superconducting cavity model from DOI:10.1103/PhysRevSTAB.3.092001mapsteps – number of integration steps per slice used for map and reference particle push in applied fields
nslice – number of slices used for the application of space charge
- class impactx.elements.Sbend(ds, rc, nslice=1)
An ideal sector bend.
- Parameters
ds – Segment length in m.
rc – Radius of curvature in m.
nslice – number of slices used for the application of space charge
- class impactx.elements.ShortRF(V, k)
A short RF cavity element at zero crossing for bunching.
- Parameters
V – Normalized RF voltage drop V = Emax*L/(c*Brho)
k – Wavenumber of RF in 1/m
- class impactx.elements.SoftSolenoid(ds, bscale, cos_coefficients, sin_coefficients, nslice=1)
A soft-edge solenoid.
- Parameters
ds – Segment length in m.
bscale – Scaling factor for on-axis magnetic field Bz in inverse meters
cos_coefficients – array of
float
cosine coefficients in Fourier expansion of on-axis magnetic field Bz (optional); default is a thin-shell model from DOI:10.1016/J.NIMA.2022.166706sin_coefficients – array of
float
sine coefficients in Fourier expansion of on-axis magnetic field Bz (optional); default is a thin-shell model from DOI:10.1016/J.NIMA.2022.166706mapsteps – number of integration steps per slice used for map and reference particle push in applied fields
nslice – number of slices used for the application of space charge
- class impactx.elements.Sol(ds, ks, nslice=1)
An ideal hard-edge Solenoid magnet.
- Parameters
ds – Segment length in m.
ks – Solenoid strength in m^(-1) (MADX convention) in (magnetic field Bz in T) / (rigidity in T-m)
nslice – number of slices used for the application of space charge
- class impactx.elements.SoftQuadrupole(ds, gscale, cos_coefficients, sin_coefficients, nslice=1)
A soft-edge quadrupole.
- Parameters
ds – Segment length in m.
gscale – Scaling factor for on-axis field gradient in inverse meters
cos_coefficients – array of
float
cosine coefficients in Fourier expansion of on-axis field gradient (optional); default is a tanh fringe field model based on http://www.physics.umd.edu/dsat/docs/MaryLieMan.pdfsin_coefficients – array of
float
sine coefficients in Fourier expansion of on-axis field gradient (optional); default is a tanh fringe field model based on http://www.physics.umd.edu/dsat/docs/MaryLieMan.pdfmapsteps – number of integration steps per slice used for map and reference particle push in applied fields
nslice – number of slices used for the application of space charge