Add benchmark test.

examples/CMakeLists.txt

@@ -843,6 +843,22 @@ add_impactx_test(aperture.py
     OFF  # no plot script yet
 )
 
+# Absorber collimation ########################################################
+#
+# w/o space charge
+add_impactx_test(absorber
+    examples/aperture/input_absorber.in
+      ON  # ImpactX MPI-parallel
+    examples/aperture/analysis_absorber.py
+    OFF  # no plot script yet
+)
+add_impactx_test(absorber.py
+    examples/aperture/run_absorber.py
+      OFF  # ImpactX MPI-parallel
+    examples/aperture/analysis_absorber.py
+    OFF  # no plot script yet
+)
+
 # Apochromat drift-quad example ##########################################################
 #
 # w/o space charge

examples/aperture/README.rst

@@ -101,3 +101,57 @@ We run the following script to analyze correctness:
    .. literalinclude:: analysis_aperture_periodic.py
       :language: python3
       :caption: You can copy this file from ``examples/aperture/analysis_aperture_periodic.py``.
+
+
+.. _examples-absorber:
+
+Collimation Using an Absorber
+================================
+
+Proton beam undergoing collimation through partial absorption by a rectangular domain.
+This test is the exact negative of the previous test, and illustrates the ``absorb`` option of the ``Aperture`` element.
+
+We use a 250 MeV proton beam with a horizontal rms beam size of 1.56 mm and a vertical rms beam size of 2.21 mm.
+
+After a short drift of 0.123, the beam hits a 1 mm x 1.5 mm rectangular structure, resulting in particle loss.
+
+In this test, the initial values of :math:`\sigma_x`, :math:`\sigma_y`, :math:`\sigma_t`, :math:`\epsilon_x`, :math:`\epsilon_y`, and :math:`\epsilon_t` must agree with nomin>
+The test fails if:
+
+* any of the final coordinates for the valid (not lost) particles lie inside the absorber boundary or
+* any of the lost particles are outside the absorber boundary or
+* if the sum of lost and kept particles is not equal to the initial particles or
+* if the recorded position :math:`s` for the lost particles does not coincide with the drift distance.
+
+
+Run
+---
+
+This example can be run as a Python script (``python3 run_absorber.py``) or with an app with an input file (``impactx input_absorber.in``).
+Each can also be prefixed with an `MPI executor <https://www.mpi-forum.org>`__, such as ``mpiexec -n 4 ...`` or ``srun -n 4 ...``, depending on the system.
+
+.. tab-set::
+
+   .. tab-item:: Python Script
+
+       .. literalinclude:: run_absorber.py
+          :language: python3
+          :caption: You can copy this file from ``examples/aperture/run_absorber.py``.
+
+   .. tab-item:: App Input File
+
+       .. literalinclude:: input_absorber.in
+          :language: ini
+          :caption: You can copy this file from ``examples/aperture/input_absorber.in``.
+
+Analyze
+-------
+
+We run the following script to analyze correctness:
+
+.. dropdown:: Script ``analysis_absorber.py``
+
+   .. literalinclude:: analysis_absorber.py
+      :language: python3
+      :caption: You can copy this file from ``examples/aperture/analysis_absorber.py``.
+

examples/aperture/analysis_absorber.py

@@ -0,0 +1,110 @@
+#!/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
+
+
+def get_moments(beam):
+    """Calculate standard deviations of beam position & momenta
+    and emittance values
+
+    Returns
+    -------
+    sigx, sigy, sigt, emittance_x, emittance_y, emittance_t
+    """
+    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 (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()
+
+series_lost = io.Series("diags/openPMD/particles_lost.h5", io.Access.read_only)
+particles_lost = series_lost.iterations[0].particles["beam"].to_df()
+
+# compare number of particles
+num_particles = 10000
+assert num_particles == len(initial)
+# we lost particles in apertures
+assert num_particles > len(final)
+assert num_particles == len(particles_lost) + len(final)
+
+print("Initial Beam:")
+sigx, sigy, sigt, emittance_x, emittance_y, emittance_t = get_moments(initial)
+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 = 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],
+    [
+        1.559531175539e-3,
+        2.205510139392e-3,
+        1.0e-3,
+        1.0e-6,
+        2.0e-6,
+        1.0e-6,
+    ],
+    rtol=rtol,
+    atol=atol,
+)
+
+# particle-wise comparison against the rectangular aperture boundary
+xmax = 1.0e-3
+ymax = 1.5e-3
+
+# kept particles
+dx = abs(final["position_x"]) - xmax
+dy = abs(final["position_y"]) - ymax
+
+print()
+print(f"  x_max={final['position_x'].max()}")
+print(f"  x_min={final['position_x'].min()}")
+assert np.greater_equal(dx.max(), 0.0)
+
+print(f"  y_max={final['position_y'].max()}")
+print(f"  y_min={final['position_y'].min()}")
+assert np.greater_equal(dy.max(), 0.0)
+
+# lost particles
+dx = abs(particles_lost["position_x"]) - xmax
+dy = abs(particles_lost["position_y"]) - ymax
+
+print()
+print(f"  x_max={particles_lost['position_x'].max()}")
+print(f"  x_min={particles_lost['position_x'].min()}")
+assert np.less_equal(dx.max(), 0.0)
+
+print(f"  y_max={particles_lost['position_y'].max()}")
+print(f"  y_min={particles_lost['position_y'].min()}")
+assert np.less_equal(dy.max(), 0.0)
+
+# check that s is set correctly
+lost_at_s = particles_lost["s_lost"]
+drift_s = np.ones_like(lost_at_s) * 0.123
+assert np.allclose(lost_at_s, drift_s)

examples/aperture/input_absorber.in

@@ -0,0 +1,50 @@
+###############################################################################
+# Particle Beam(s)
+###############################################################################
+beam.npart = 10000
+beam.units = static
+beam.kin_energy = 250.0
+beam.charge = 1.0e-9
+beam.particle = proton
+beam.distribution = waterbag
+beam.lambdaX = 1.559531175539e-3
+beam.lambdaY = 2.205510139392e-3
+beam.lambdaT = 1.0e-3
+beam.lambdaPx = 6.41218345413e-4
+beam.lambdaPy = 9.06819680526e-4
+beam.lambdaPt = 1.0e-3
+beam.muxpx = 0.0
+beam.muypy = 0.0
+beam.mutpt = 0.0
+
+
+###############################################################################
+# Beamline: lattice elements and segments
+###############################################################################
+lattice.elements = monitor drift collimator monitor
+lattice.nslice = 1
+
+monitor.type = beam_monitor
+monitor.backend = h5
+
+drift.type = drift
+drift.ds = 0.123
+
+collimator.type = aperture
+collimator.shape = rectangular
+collimator.xmax = 1.0e-3
+collimator.ymax = 1.5e-3
+collimator.action = absorb
+
+###############################################################################
+# Algorithms
+###############################################################################
+algo.particle_shape = 2
+algo.space_charge = false
+
+
+###############################################################################
+# Diagnostics
+###############################################################################
+diag.slice_step_diagnostics = true
+diag.backend = h5

examples/aperture/run_absorber.py

@@ -0,0 +1,69 @@
+#!/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, distribution, elements
+
+# work-around for https://github.com/ECP-WarpX/impactx/issues/499
+pp_amrex = amr.ParmParse("amrex")
+pp_amrex.add("the_arena_is_managed", 1)
+
+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
+sim.particle_lost_diagnostics_backend = "h5"
+
+# domain decomposition & space charge mesh
+sim.init_grids()
+
+# load a 250 MeV proton beam with an initial
+# horizontal rms emittance of 1 um and an
+# initial vertical rms emittance of 2 um
+kin_energy_MeV = 250.0  # reference energy
+bunch_charge_C = 1.0e-9  # used with space charge
+npart = 10000  # 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(
+    lambdaX=1.559531175539e-3,
+    lambdaY=2.205510139392e-3,
+    lambdaT=1.0e-3,
+    lambdaPx=6.41218345413e-4,
+    lambdaPy=9.06819680526e-4,
+    lambdaPt=1.0e-3,
+)
+sim.add_particles(bunch_charge_C, distr, npart)
+
+# add beam diagnostics
+monitor = elements.BeamMonitor("monitor", backend="h5")
+
+# design the accelerator lattice
+sim.lattice.extend(
+    [
+        monitor,
+        elements.Drift(name="drift", ds=0.123),
+        elements.Aperture(
+            name="collimator", xmax=1.0e-3, ymax=1.5e-3, shape="rectangular", action="absorb"
+        ),
+        monitor,
+    ]
+)
+
+# run simulation
+sim.track_particles()
+
+# clean shutdown
+sim.finalize()