20824991646

Committed 08 Jan 2026 05:03PM UTC coverage: 82.033% (-0.2%) from 82.195%

Build # 20824991646

Build Type

Pull #3460

github

Committed by

web-flow

Commit Message

Merge 05289af22 into dfc80c706

Pull Request Pull Request #3460: Source biasing capabilities

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64.81

/src/distribution_multi.cpp

#include "openmc/distribution_multi.h"

#include <algorithm> // for move
#include <cmath>     // for sqrt, sin, cos, max

#include "openmc/constants.h"
#include "openmc/error.h"
#include "openmc/math_functions.h"
#include "openmc/random_dist.h"
#include "openmc/random_lcg.h"
#include "openmc/xml_interface.h"

namespace openmc {

unique_ptr<UnitSphereDistribution> UnitSphereDistribution::create(
  pugi::xml_node node)
{
  // Check for type of angular distribution
  std::string type;
  if (check_for_node(node, "type"))
    type = get_node_value(node, "type", true, true);
  if (type == "isotropic") {
    return UPtrAngle {new Isotropic(node)};
  } else if (type == "monodirectional") {
    return UPtrAngle {new Monodirectional(node)};
  } else if (type == "mu-phi") {
    return UPtrAngle {new PolarAzimuthal(node)};
  } else {
    fatal_error(fmt::format(
      "Invalid angular distribution for external source: {}", type));
  }
}

//==============================================================================
// UnitSphereDistribution implementation
//==============================================================================

UnitSphereDistribution::UnitSphereDistribution(pugi::xml_node node)
{
  // Read reference directional unit vector
  if (check_for_node(node, "reference_uvw")) {
    auto u_ref = get_node_array<double>(node, "reference_uvw");
    if (u_ref.size() != 3)
      fatal_error("Angular distribution reference direction must have "
                  "three parameters specified.");
    u_ref_ = Direction(u_ref.data());
  }
}

//==============================================================================
// PolarAzimuthal implementation
//==============================================================================

PolarAzimuthal::PolarAzimuthal(Direction u, UPtrDist mu, UPtrDist phi)
  : UnitSphereDistribution {u}, mu_ {std::move(mu)}, phi_ {std::move(phi)}
{}

PolarAzimuthal::PolarAzimuthal(pugi::xml_node node)
  : UnitSphereDistribution {node}
{
  // Read reference directional unit vector
  if (check_for_node(node, "reference_vwu")) {
    auto v_ref = get_node_array<double>(node, "reference_vwu");
    if (v_ref.size() != 3)
      fatal_error("Angular distribution reference v direction must have "
                  "three parameters specified.");
    v_ref_ = Direction(v_ref.data());
  }
  w_ref_ = u_ref_.cross(v_ref_);
  if (check_for_node(node, "mu")) {
    pugi::xml_node node_dist = node.child("mu");
    mu_ = distribution_from_xml(node_dist);
  } else {
    mu_ = UPtrDist {new Uniform(-1., 1.)};
  }

  if (check_for_node(node, "phi")) {
    pugi::xml_node node_dist = node.child("phi");
    phi_ = distribution_from_xml(node_dist);
  } else {
    phi_ = UPtrDist {new Uniform(0.0, 2.0 * PI)};
  }
}

std::pair<Direction, double> PolarAzimuthal::sample(uint64_t* seed) const
{
  return sample_impl(seed, false);
}

std::pair<Direction, double> PolarAzimuthal::sample_as_bias(
  uint64_t* seed) const
{
  return sample_impl(seed, true);
}

std::pair<Direction, double> PolarAzimuthal::sample_impl(
  uint64_t* seed, bool return_pdf) const
{
  // Sample cosine of polar angle
  auto [mu, mu_wgt] = mu_->sample(seed);

  // Sample azimuthal angle
  auto [phi, phi_wgt] = phi_->sample(seed);

  // Compute either the PDF value or the importance weight
  double weight =
    return_pdf ? (mu_->evaluate(mu) * phi_->evaluate(phi)) : (mu_wgt * phi_wgt);

  if (mu == 1.0)
    return {u_ref_, weight};
  if (mu == -1.0)
    return {-u_ref_, weight};

  double f = std::sqrt(1 - mu * mu);
  return {mu * u_ref_ + f * std::cos(phi) * v_ref_ + f * std::sin(phi) * w_ref_,
    weight};
}

//==============================================================================
// Isotropic implementation
//==============================================================================

Isotropic::Isotropic(pugi::xml_node node) : UnitSphereDistribution {node}
{
  if (check_for_node(node, "bias")) {
    pugi::xml_node bias_node = node.child("bias");
    std::string bias_type = get_node_value(bias_node, "type", true, true);
    if (bias_type != "mu-phi") {
      openmc::fatal_error(
        "Isotropic distributions may only be biased by a PolarAzimuthal.");
    }
    auto bias = std::make_unique<PolarAzimuthal>(bias_node);
    if (bias->mu()->bias() || bias->phi()->bias()) {
      openmc::fatal_error(
        "Attempted to bias Isotropic distribution with a biased PolarAzimuthal "
        "distribution. Please ensure bias distributions are unbiased.");
    }
    this->set_bias(std::move(bias));
  }
}

Direction isotropic_direction(uint64_t* seed)
{
  double phi = uniform_distribution(0., 2.0 * PI, seed);
  double mu = uniform_distribution(-1., 1., seed);
  return {mu, std::sqrt(1.0 - mu * mu) * std::cos(phi),
    std::sqrt(1.0 - mu * mu) * std::sin(phi)};
}

std::pair<Direction, double> Isotropic::sample(uint64_t* seed) const
{
  if (bias()) {
    auto [val, eval] = bias()->sample_as_bias(seed);
    return {val, 1.0 / (4.0 * PI * eval)};
  } else {
    return {isotropic_direction(seed), 1.0};
  }
}

//==============================================================================
// Monodirectional implementation
//==============================================================================

std::pair<Direction, double> Monodirectional::sample(uint64_t* seed) const
{
  return {u_ref_, 1.0};
}

} // namespace openmc

1	#include "openmc/distribution_multi.h"
2
3	#include <algorithm> // for move
4	#include <cmath> // for sqrt, sin, cos, max
5
6	#include "openmc/constants.h"
7	#include "openmc/error.h"
8	#include "openmc/math_functions.h"
9	#include "openmc/random_dist.h"
10	#include "openmc/random_lcg.h"
11	#include "openmc/xml_interface.h"
12
13	namespace openmc {
14
15	unique_ptr<UnitSphereDistribution> UnitSphereDistribution::create(	3,356✔
16	pugi::xml_node node)
17	{
18	// Check for type of angular distribution
19	std::string type;	3,356✔
20	if (check_for_node(node, "type"))	3,356!
21	type = get_node_value(node, "type", true, true);	3,356✔
22	if (type == "isotropic") {	3,356✔
23	return UPtrAngle {new Isotropic(node)};	256✔
24	} else if (type == "monodirectional") {	3,100✔
25	return UPtrAngle {new Monodirectional(node)};	3,062✔
26	} else if (type == "mu-phi") {	38!
27	return UPtrAngle {new PolarAzimuthal(node)};	38✔
28	} else {
29	fatal_error(fmt::format(	×
30	"Invalid angular distribution for external source: {}", type));
31	}
32	}	3,356✔
33
34	//==============================================================================
35	// UnitSphereDistribution implementation
36	//==============================================================================
37
38	UnitSphereDistribution::UnitSphereDistribution(pugi::xml_node node)	3,356✔
39	{
40	// Read reference directional unit vector
41	if (check_for_node(node, "reference_uvw")) {	3,356✔
42	auto u_ref = get_node_array<double>(node, "reference_uvw");	3,100✔
43	if (u_ref.size() != 3)	3,100!
44	fatal_error("Angular distribution reference direction must have "	×
45	"three parameters specified.");
46	u_ref_ = Direction(u_ref.data());	3,100✔
47	}	3,100✔
48	}	3,356✔
49
50	//==============================================================================
51	// PolarAzimuthal implementation
52	//==============================================================================
53
54	PolarAzimuthal::PolarAzimuthal(Direction u, UPtrDist mu, UPtrDist phi)	×
55	: UnitSphereDistribution {u}, mu_ {std::move(mu)}, phi_ {std::move(phi)}	×
56	{}	×
57
58	PolarAzimuthal::PolarAzimuthal(pugi::xml_node node)	38✔
59	: UnitSphereDistribution {node}	38✔
60	{
61	// Read reference directional unit vector
62	if (check_for_node(node, "reference_vwu")) {	38!
63	auto v_ref = get_node_array<double>(node, "reference_vwu");	38✔
64	if (v_ref.size() != 3)	38!
65	fatal_error("Angular distribution reference v direction must have "	×
66	"three parameters specified.");
67	v_ref_ = Direction(v_ref.data());	38✔
68	}	38✔
69	w_ref_ = u_ref_.cross(v_ref_);	38✔
70	if (check_for_node(node, "mu")) {	38!
71	pugi::xml_node node_dist = node.child("mu");	38✔
72	mu_ = distribution_from_xml(node_dist);	38✔
73	} else {
74	mu_ = UPtrDist {new Uniform(-1., 1.)};	×
75	}
76
77	if (check_for_node(node, "phi")) {	38!
78	pugi::xml_node node_dist = node.child("phi");	38✔
79	phi_ = distribution_from_xml(node_dist);	38✔
80	} else {
81	phi_ = UPtrDist {new Uniform(0.0, 2.0 * PI)};	×
82	}
83	}	38✔
84
85	std::pair<Direction, double> PolarAzimuthal::sample(uint64_t* seed) const	25,300✔
86	{
87	return sample_impl(seed, false);	25,300✔
88	}
89
NEW 90	std::pair<Direction, double> PolarAzimuthal::sample_as_bias(	×
91	uint64_t* seed) const
92	{
NEW 93	return sample_impl(seed, true);	×
94	}
95
96	std::pair<Direction, double> PolarAzimuthal::sample_impl(	25,300✔
97	uint64_t* seed, bool return_pdf) const
98	{
99	// Sample cosine of polar angle
100	auto [mu, mu_wgt] = mu_->sample(seed);	25,300✔
101
102	// Sample azimuthal angle
103	auto [phi, phi_wgt] = phi_->sample(seed);	25,300✔
104
105	// Compute either the PDF value or the importance weight
106	double weight =
107	return_pdf ? (mu_->evaluate(mu) * phi_->evaluate(phi)) : (mu_wgt * phi_wgt);	25,300!
108
109	if (mu == 1.0)	25,300✔
110	return {u_ref_, weight};	759✔
111	if (mu == -1.0)	24,541✔
112	return {-u_ref_, weight};	1,628✔
113
114	double f = std::sqrt(1 - mu * mu);	22,913✔
115	return {mu * u_ref_ + f * std::cos(phi) * v_ref_ + f * std::sin(phi) * w_ref_,	45,826✔
116	weight};	22,913✔
117	}
118
119	//==============================================================================
120	// Isotropic implementation
121	//==============================================================================
122
123	Isotropic::Isotropic(pugi::xml_node node) : UnitSphereDistribution {node}	256✔
124	{
125	if (check_for_node(node, "bias")) {	256!
NEW 126	pugi::xml_node bias_node = node.child("bias");	×
NEW 127	std::string bias_type = get_node_value(bias_node, "type", true, true);	×
NEW 128	if (bias_type != "mu-phi") {	×
NEW 129	openmc::fatal_error(	×
130	"Isotropic distributions may only be biased by a PolarAzimuthal.");
131	}
NEW 132	auto bias = std::make_unique<PolarAzimuthal>(bias_node);	×
NEW 133	if (bias->mu()->bias() \|\| bias->phi()->bias()) {	×
NEW 134	openmc::fatal_error(	×
135	"Attempted to bias Isotropic distribution with a biased PolarAzimuthal "
136	"distribution. Please ensure bias distributions are unbiased.");
137	}
NEW 138	this->set_bias(std::move(bias));	×
NEW 139	}	×
140	}	256✔
141
142	Direction isotropic_direction(uint64_t* seed)	112,985,660✔
143	{
144	double phi = uniform_distribution(0., 2.0 * PI, seed);	112,985,660✔
145	double mu = uniform_distribution(-1., 1., seed);	112,985,660✔
146	return {mu, std::sqrt(1.0 - mu * mu) * std::cos(phi),	112,985,660✔
147	std::sqrt(1.0 - mu * mu) * std::sin(phi)};	112,985,660✔
148	}
149
150	std::pair<Direction, double> Isotropic::sample(uint64_t* seed) const	19,536,674✔
151	{
152	if (bias()) {	19,536,674!
NEW 153	auto [val, eval] = bias()->sample_as_bias(seed);	×
NEW 154	return {val, 1.0 / (4.0 * PI * eval)};	×
155	} else {
156	return {isotropic_direction(seed), 1.0};	19,536,674✔
157	}
158	}
159
160	//==============================================================================
161	// Monodirectional implementation
162	//==============================================================================
163
164	std::pair<Direction, double> Monodirectional::sample(uint64_t* seed) const	14,335,854✔
165	{
166	return {u_ref_, 1.0};	14,335,854✔
167	}
168
169	} // namespace openmc

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