PropagatorTests.cpp

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// This file is part of the Acts project.
//
// Copyright (C) 2016-2019 CERN for the benefit of the Acts project
//
// This Source Code Form is subject to the terms of the Mozilla Public
// License, v. 2.0. If a copy of the MPL was not distributed with this
// file, You can obtain one at http://mozilla.org/MPL/2.0/.

#include <boost/test/data/test_case.hpp>
#include <boost/test/tools/output_test_stream.hpp>
#include <boost/test/unit_test.hpp>

#include "Acts/EventData/TrackParameters.hpp"
#include "Acts/Geometry/GeometryContext.hpp"
#include "Acts/MagneticField/ConstantBField.hpp"
#include "Acts/MagneticField/MagneticFieldContext.hpp"
#include "Acts/Propagator/ActionList.hpp"
#include "Acts/Propagator/ConstrainedStep.hpp"
#include "Acts/Propagator/EigenStepper.hpp"
#include "Acts/Propagator/Propagator.hpp"
#include "Acts/Propagator/StandardAborters.hpp"
#include "Acts/Surfaces/CylinderSurface.hpp"
#include "Acts/Tests/CommonHelpers/FloatComparisons.hpp"
#include "Acts/Utilities/Definitions.hpp"
#include "Acts/Utilities/Units.hpp"

namespace bdata = boost::unit_test::data;
namespace tt = boost::test_tools;
using namespace Acts::UnitLiterals;
using Acts::VectorHelpers::makeVector4;
using Acts::VectorHelpers::perp;

namespace Acts {
namespace Test {

// Create a test context
GeometryContext tgContext = GeometryContext();
MagneticFieldContext mfContext = MagneticFieldContext();

using Covariance = BoundSymMatrix;

struct PerpendicularMeasure {
  struct this_result {
    double distance = std::numeric_limits<double>::max();
  };

  using result_type = this_result;

  PerpendicularMeasure() = default;

  template <typename propagator_state_t, typename stepper_t>
  void operator()(propagator_state_t& state, const stepper_t& stepper,
                  result_type& result) const {
    result.distance = perp(stepper.position(state.stepping));
  }

  template <typename propagator_state_t, typename stepper_t>
  void operator()(propagator_state_t& /*unused*/,
                  const stepper_t& /*unused*/) const {}
};

template <typename Surface>
struct SurfaceObserver {
  // the surface to be intersected
  const Surface* surface = nullptr;
  // the tolerance for intersection
  double tolerance = 1.e-5;

  struct this_result {
    size_t surfaces_passed = 0;
    double surface_passed_r = std::numeric_limits<double>::max();
  };

  using result_type = this_result;

  SurfaceObserver() = default;

  template <typename propagator_state_t, typename stepper_t>
  void operator()(propagator_state_t& state, const stepper_t& stepper,
                  result_type& result) const {
    if (surface && !result.surfaces_passed) {
      // calculate the distance to the surface
      const double distance =
          surface
              ->intersect(state.geoContext, stepper.position(state.stepping),
                          stepper.direction(state.stepping), true)
              .intersection.pathLength;
      // Adjust the step size so that we cannot cross the target surface
      state.stepping.stepSize.update(distance, ConstrainedStep::actor);
      // return true if you fall below tolerance
      if (std::abs(distance) <= tolerance) {
        ++result.surfaces_passed;
        result.surface_passed_r = perp(stepper.position(state.stepping));
        // release the step size, will be re-adjusted
        state.stepping.stepSize.release(ConstrainedStep::actor);
      }
    }
  }

  template <typename propagator_state_t, typename stepper_t>
  void operator()(propagator_state_t& /*unused*/,
                  const stepper_t& /*unused*/) const {}
};

// Global definitions
// The path limit abort
using path_limit = PathLimitReached;

using BFieldType = ConstantBField;
using EigenStepperType = EigenStepper<BFieldType>;
using EigenPropagatorType = Propagator<EigenStepperType>;

const double Bz = 2_T;
BFieldType bField(0, 0, Bz);
EigenStepperType estepper(bField);
EigenPropagatorType epropagator(std::move(estepper));

auto mCylinder = std::make_shared<CylinderBounds>(10_mm, 1000_mm);
auto mSurface =
    Surface::makeShared<CylinderSurface>(Transform3D::Identity(), mCylinder);
auto cCylinder = std::make_shared<CylinderBounds>(150_mm, 1000_mm);
auto cSurface =
    Surface::makeShared<CylinderSurface>(Transform3D::Identity(), cCylinder);

const int ntests = 5;

// This tests the Options
BOOST_AUTO_TEST_CASE(PropagatorOptions_) {
  using null_optionsType = PropagatorOptions<>;
  null_optionsType null_options(tgContext, mfContext, getDummyLogger());
  // todo write null options test

  using ActionListType = ActionList<PerpendicularMeasure>;
  using AbortConditionsType = AbortList<>;

  using optionsType = PropagatorOptions<ActionListType, AbortConditionsType>;

  optionsType options(tgContext, mfContext, getDummyLogger());
}

BOOST_DATA_TEST_CASE(
    cylinder_passage_observer_,
    bdata::random((bdata::seed = 0,
                   bdata::distribution =
                       std::uniform_real_distribution<>(0.4_GeV, 10_GeV))) ^
        bdata::random((bdata::seed = 1,
                       bdata::distribution =
                           std::uniform_real_distribution<>(-M_PI, M_PI))) ^
        bdata::random((bdata::seed = 2,
                       bdata::distribution =
                           std::uniform_real_distribution<>(1.0, M_PI - 1.0))) ^
        bdata::random(
            (bdata::seed = 3,
             bdata::distribution = std::uniform_int_distribution<>(0, 1))) ^
        bdata::random(
            (bdata::seed = 4,
             bdata::distribution = std::uniform_int_distribution<>(0, 100))) ^
        bdata::xrange(ntests),
    pT, phi, theta, charge, time, index) {
  double dcharge = -1 + 2 * charge;
  (void)index;

  using CylinderObserver = SurfaceObserver<CylinderSurface>;
  using ActionListType = ActionList<CylinderObserver>;
  using AbortConditionsType = AbortList<>;

  // setup propagation options
  PropagatorOptions<ActionListType, AbortConditionsType> options(
      tgContext, mfContext, getDummyLogger());

  options.pathLimit = 20_m;
  options.maxStepSize = 1_cm;

  // set the surface to be passed by
  options.actionList.get<CylinderObserver>().surface = mSurface.get();

  using so_result = typename CylinderObserver::result_type;

  // define start parameters
  double x = 0;
  double y = 0;
  double z = 0;
  double px = pT * cos(phi);
  double py = pT * sin(phi);
  double pz = pT / tan(theta);
  double q = dcharge;
  Vector3D pos(x, y, z);
  Vector3D mom(px, py, pz);
  CurvilinearTrackParameters start(makeVector4(pos, time), mom, mom.norm(), q);
  // propagate to the cylinder surface
  const auto& result = epropagator.propagate(start, *cSurface, options).value();
  auto& sor = result.get<so_result>();

  BOOST_CHECK_EQUAL(sor.surfaces_passed, 1u);
  CHECK_CLOSE_ABS(sor.surface_passed_r, 10., 1e-5);
}

BOOST_DATA_TEST_CASE(
    curvilinear_additive_,
    bdata::random((bdata::seed = 0,
                   bdata::distribution =
                       std::uniform_real_distribution<>(0.4_GeV, 10_GeV))) ^
        bdata::random((bdata::seed = 1,
                       bdata::distribution =
                           std::uniform_real_distribution<>(-M_PI, M_PI))) ^
        bdata::random((bdata::seed = 2,
                       bdata::distribution =
                           std::uniform_real_distribution<>(1.0, M_PI - 1.0))) ^
        bdata::random(
            (bdata::seed = 3,
             bdata::distribution = std::uniform_int_distribution<>(0, 1))) ^
        bdata::random(
            (bdata::seed = 4,
             bdata::distribution = std::uniform_int_distribution<>(0, 100))) ^
        bdata::xrange(ntests),
    pT, phi, theta, charge, time, index) {
  double dcharge = -1 + 2 * charge;
  (void)index;

  // setup propagation options - the tow step options
  PropagatorOptions<> options_2s(tgContext, mfContext, getDummyLogger());
  options_2s.pathLimit = 50_cm;
  options_2s.maxStepSize = 1_cm;

  // define start parameters
  double x = 0;
  double y = 0;
  double z = 0;
  double px = pT * cos(phi);
  double py = pT * sin(phi);
  double pz = pT / tan(theta);
  double q = dcharge;
  Vector3D pos(x, y, z);
  Vector3D mom(px, py, pz);
  Covariance cov;
  // take some major correlations (off-diagonals)
  cov << 10_mm, 0, 0.123, 0, 0.5, 0, 0, 10_mm, 0, 0.162, 0, 0, 0.123, 0, 0.1, 0,
      0, 0, 0, 0.162, 0, 0.1, 0, 0, 0.5, 0, 0, 0, 1. / (10_GeV), 0, 0, 0, 0, 0,
      0, 0;
  CurvilinearTrackParameters start(makeVector4(pos, time), mom, mom.norm(), q,
                                   cov);
  // propagate to a path length of 100 with two steps of 50
  const auto& mid_parameters =
      epropagator.propagate(start, options_2s).value().endParameters;
  const auto& end_parameters_2s =
      epropagator.propagate(*mid_parameters, options_2s).value().endParameters;

  // setup propagation options - the one step options
  PropagatorOptions<> options_1s(tgContext, mfContext, getDummyLogger());
  options_1s.pathLimit = 100_cm;
  options_1s.maxStepSize = 1_cm;
  // propagate to a path length of 100 in one step
  const auto& end_parameters_1s =
      epropagator.propagate(start, options_1s).value().endParameters;

  // test that the propagation is additive
  CHECK_CLOSE_REL(end_parameters_1s->position(tgContext),
                  end_parameters_2s->position(tgContext), 0.001);

  const auto& cov_1s = *(end_parameters_1s->covariance());
  const auto& cov_2s = *(end_parameters_2s->covariance());

  // CHECK_CLOSE_COVARIANCE(cov_1s, cov_2s, 0.001);
  for (unsigned int i = 0; i < cov_1s.rows(); i++) {
    for (unsigned int j = 0; j < cov_1s.cols(); j++) {
      CHECK_CLOSE_OR_SMALL(cov_1s(i, j), cov_2s(i, j), 0.001, 1e-6);
    }
  }
}

BOOST_DATA_TEST_CASE(
    cylinder_additive_,
    bdata::random((bdata::seed = 0,
                   bdata::distribution =
                       std::uniform_real_distribution<>(0.4_GeV, 10_GeV))) ^
        bdata::random((bdata::seed = 1,
                       bdata::distribution =
                           std::uniform_real_distribution<>(-M_PI, M_PI))) ^
        bdata::random((bdata::seed = 2,
                       bdata::distribution =
                           std::uniform_real_distribution<>(1.0, M_PI - 1.0))) ^
        bdata::random(
            (bdata::seed = 3,
             bdata::distribution = std::uniform_int_distribution<>(0, 1))) ^
        bdata::random(
            (bdata::seed = 4,
             bdata::distribution = std::uniform_int_distribution<>(0, 100))) ^
        bdata::xrange(ntests),
    pT, phi, theta, charge, time, index) {
  double dcharge = -1 + 2 * charge;
  (void)index;

  // setup propagation options - 2 setp options
  PropagatorOptions<> options_2s(tgContext, mfContext, getDummyLogger());
  options_2s.pathLimit = 10_m;
  options_2s.maxStepSize = 1_cm;

  // define start parameters
  double x = 0;
  double y = 0;
  double z = 0;
  double px = pT * cos(phi);
  double py = pT * sin(phi);
  double pz = pT / tan(theta);
  double q = dcharge;
  Vector3D pos(x, y, z);
  Vector3D mom(px, py, pz);
  Covariance cov;
  // take some major correlations (off-diagonals)
  cov << 10_mm, 0, 0.123, 0, 0.5, 0, 0, 10_mm, 0, 0.162, 0, 0, 0.123, 0, 0.1, 0,
      0, 0, 0, 0.162, 0, 0.1, 0, 0, 0.5, 0, 0, 0, 1. / (10_GeV), 0, 0, 0, 0, 0,
      0, 0;
  CurvilinearTrackParameters start(makeVector4(pos, time), mom, mom.norm(), q,
                                   cov);
  // propagate to a final surface with one stop in between
  const auto& mid_parameters =
      epropagator.propagate(start, *mSurface, options_2s).value().endParameters;

  const auto& end_parameters_2s =
      epropagator.propagate(*mid_parameters, *cSurface, options_2s)
          .value()
          .endParameters;

  // setup propagation options - one step options
  PropagatorOptions<> options_1s(tgContext, mfContext, getDummyLogger());
  options_1s.pathLimit = 10_m;
  options_1s.maxStepSize = 1_cm;
  // propagate to a final surface in one stop
  const auto& end_parameters_1s =
      epropagator.propagate(start, *cSurface, options_1s).value().endParameters;

  // test that the propagation is additive
  CHECK_CLOSE_REL(end_parameters_1s->position(tgContext),
                  end_parameters_2s->position(tgContext), 0.001);

  const auto& cov_1s = (*(end_parameters_1s->covariance()));
  const auto& cov_2s = (*(end_parameters_2s->covariance()));

  // CHECK_CLOSE_COVARIANCE(cov_1s, cov_2s, 0.001);
  for (unsigned int i = 0; i < cov_1s.rows(); i++) {
    for (unsigned int j = 0; j < cov_1s.cols(); j++) {
      CHECK_CLOSE_OR_SMALL(cov_1s(i, j), cov_2s(i, j), 0.001, 1e-6);
    }
  }
}

}  // namespace Test
}  // namespace Acts