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1 | #include <H5Cpp.h> | ||
2 | #include <fstream> | ||
3 | #include <numeric> | ||
4 | #include <string> | ||
5 | #include <vector> | ||
6 | |||
7 | #include "histogram.hpp" | ||
8 | #include "interaction.hpp" | ||
9 | #include "observables.hpp" | ||
10 | #include "particle.hpp" | ||
11 | #include "percolation.hpp" | ||
12 | #include "system.hpp" | ||
13 | |||
14 | 12 | template <class T> static void checkFunctionsExist(T *t, bool withUnweighted = false) { | |
15 |
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42 | for (std::string &key : t->keys) { |
16 | 30 | std::string functionKey = key; | |
17 |
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48 | if (withUnweighted && key.length() > 3 && key.substr(key.length() - 3) == "_dt") { |
18 | ✗ | functionKey = key.substr(0, key.length() - 3); | |
19 | } | ||
20 |
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30 | if (t->functions.find(functionKey) == t->functions.end()) { |
21 | ✗ | throw std::invalid_argument("There is no observable " + key + " for type " + t->type()); | |
22 | } | ||
23 | } | ||
24 | } | ||
25 | |||
26 | 9 | Observables::Observables(System *system, int numSpeciesIndices, const YAML::Node &config) | |
27 | 9 | : system(system), numSpeciesIndices(numSpeciesIndices), | |
28 | 18 | numSpecies(system->getNumSpecies()), totalWeight(0.), tLast(-INFINITY), | |
29 |
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18 | every(YAML::parse<double>(config, "every", 0.)) {} |
30 | |||
31 | 3 | void Observables::sample(double weight) { | |
32 |
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3 | if (system->t > tLast + every) { |
33 | 3 | doSample(weight); | |
34 | 3 | totalWeight += weight; | |
35 | 3 | tLast = system->t; | |
36 | } | ||
37 | 3 | } | |
38 | |||
39 | 3 | Scalar::Scalar(System *system, const YAML::Node &config) : Fields(system, {}, {}, config) {} | |
40 | |||
41 | 1 | double Scalar::dV(const Eigen::Array<int, 0, 1> &index) { return 1.; } | |
42 | |||
43 | 1 | void Scalar::doSample(double weight) { | |
44 |
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2 | for (const std::string &key : keys) { |
45 | 1 | const auto &function = functions.at(key); | |
46 | 1 | auto &histogram = histograms.at(key)[0]; | |
47 | 1 | histogram[0] += function(system) * weight; | |
48 | } | ||
49 | 1 | } | |
50 | |||
51 | 3 | Onebody::Onebody(System *system, const YAML::Node &config) | |
52 |
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6 | : Fields(system, YAML::parse<ArrayI>(config, "bins"), system->L, config), dV_(dr.prod()) { |
53 |
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3 | checkFunctionsExist(this, true); |
54 | 3 | } | |
55 | |||
56 | 720 | double Onebody::dV(const ArrayI &index) { return dV_; } | |
57 | |||
58 | 1 | void Onebody::doSample(double weight) { | |
59 | 1 | const auto &particles = system->particles; | |
60 | 1 | Eigen::Array<int, 1, 1> species; | |
61 |
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5 | for (const std::string &key : keys) { |
62 | 4 | double maybeWeight = weight; | |
63 |
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4 | std::string functionKey = key; |
64 |
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7 | if (key.length() > 3 && key.substr(key.length() - 3) == "_dt") { |
65 | ✗ | maybeWeight = 1.; | |
66 | ✗ | functionKey = key.substr(0, key.length() - 3); | |
67 | } | ||
68 |
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4 | const auto &function = functions.at(functionKey); |
69 |
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4 | auto &hKey = histograms.at(key); |
70 |
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12 | for (const Particle &p : particles) { |
71 |
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8 | species[0] = p.species; |
72 | 8 | hKey[speciesMultiindex.multi2lin(species)][real2index(p.r)] += | |
73 |
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8 | function(system, p) * maybeWeight; |
74 | } | ||
75 | 4 | } | |
76 | 1 | } | |
77 | |||
78 | 3 | Radial::Radial(System *system, const YAML::Node &config) | |
79 |
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6 | : Fields(system, YAML::parse<Eigen::Array<int, 1, 1>>(config, "bins"), |
80 |
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6 | Eigen::Array<double, 1, 1>{0.5 * system->L.minCoeff()}, config) { |
81 |
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3 | checkFunctionsExist(this); |
82 |
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6 | customExtent(config, "rMax", 0); |
83 | 3 | } | |
84 | |||
85 | 25 | double Radial::dV(const Eigen::Array<int, 1, 1> &index) { | |
86 | // Calculate the volume of the spherical shell from r to r + dr; | ||
87 | 25 | double r = index2real(index)[0]; | |
88 | 25 | double R = r + dr[0]; | |
89 | 25 | return 4. / 3. * M_PI * (R * R * R - r * r * r); | |
90 | } | ||
91 | |||
92 | 1 | void Radial::doSample(double weight) { | |
93 | 1 | Eigen::Array<double, 1, 1> real; | |
94 | 1 | Eigen::Array<int, 2, 1> species; | |
95 | 1 | Vec rVec; | |
96 | 1 | Vec e_r; | |
97 | 1 | auto &particles = system->particles; | |
98 | 1 | size_t N = particles.size(); | |
99 |
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2 | for (const std::string &key : keys) { |
100 |
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1 | auto &histogram = histograms.at(key); |
101 |
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1 | const auto &function = functions.at(key); |
102 |
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3 | for (Particle &p0 : particles) { |
103 |
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6 | for (Particle &p1 : particles) { |
104 |
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4 | if (&p0 == &p1) { |
105 | 2 | continue; | |
106 | } | ||
107 |
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2 | rVec = r_ij(system->L, p0.r, p1.r); |
108 |
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4 | real[0] = rVec.norm(); |
109 | 2 | e_r = rVec / real[0]; | |
110 |
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2 | if (real[0] >= extent[0]) { |
111 | ✗ | continue; | |
112 | } | ||
113 |
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2 | species[0] = p0.species; |
114 | 2 | species[1] = p1.species; | |
115 | 2 | histogram[speciesMultiindex.multi2lin(species)][real2index(real)] += | |
116 |
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2 | function(system, p0, p1, e_r) * weight / N; |
117 | } | ||
118 | } | ||
119 | } | ||
120 | 1 | } | |
121 | |||
122 | ✗ | TwobodyPlanar::TwobodyPlanar(System *system, const YAML::Node &config) | |
123 | ✗ | : Fields(system, YAML::parse<ArrayI>(config, "bins"), | |
124 | ✗ | Eigen::Array<double, 3, 1>{system->L[DIM - 1], system->L[DIM - 1], | |
125 | ✗ | 0.5 * system->L.head<DIM - 1>().minCoeff()}, | |
126 | ✗ | config) { | |
127 | ✗ | checkFunctionsExist(this); | |
128 | ✗ | customExtent(config, "rMax", 2); | |
129 | } | ||
130 | |||
131 | ✗ | double TwobodyPlanar::dV(const Eigen::Array<int, 3, 1> &index) { | |
132 | ✗ | double r = index2real(index)[2]; | |
133 | ✗ | double R = r + dr[2]; | |
134 | ✗ | return dr[0] * dr[1] * M_PI * (R * R - r * r); | |
135 | } | ||
136 | |||
137 | ✗ | void TwobodyPlanar::doSample(double weight) { | |
138 | ✗ | Eigen::Array<double, 3, 1> real; | |
139 | ✗ | Eigen::Array<int, 2, 1> species; | |
140 | ✗ | Vec rij; | |
141 | ✗ | const auto &particles = system->particles; | |
142 | ✗ | for (const std::string &key : keys) { | |
143 | ✗ | auto &histogram = histograms.at(key); | |
144 | ✗ | const auto &function = functions.at(key); | |
145 | ✗ | for (auto &p0 : particles) { | |
146 | ✗ | for (auto &p1 : particles) { | |
147 | ✗ | if (&p0 == &p1) { | |
148 | ✗ | continue; | |
149 | } | ||
150 | ✗ | rij = r_ij(system->L, p0.r, p1.r); | |
151 | ✗ | rij[DIM - 1] = 0.; | |
152 | ✗ | real = {p0.r[DIM - 1], p1.r[DIM - 1], rij.norm()}; | |
153 | ✗ | if (real[2] >= extent[2]) { | |
154 | ✗ | continue; | |
155 | } | ||
156 | ✗ | species[0] = p0.species; | |
157 | ✗ | species[1] = p0.species; | |
158 | ✗ | histogram[speciesMultiindex.multi2lin(species)][real2index(real)] += | |
159 | ✗ | function(system, p0, p1) * weight; | |
160 | } | ||
161 | } | ||
162 | } | ||
163 | } | ||
164 | |||
165 | ✗ | Clusters::Clusters(System *system, const YAML::Node &config) : Observables(system, 0, config) { | |
166 | ✗ | this->keys = {"clusters", "coordinations", "P0", "P1", "P2", "P3", "P4"}; | |
167 | ✗ | for (const std::string &key : this->keys) { | |
168 | ✗ | distributions[key] = std::vector<double>(system->particles.size()); | |
169 | ✗ | distributionsNormed[key] = std::vector<double>(system->particles.size()); | |
170 | } | ||
171 | } | ||
172 | |||
173 | ✗ | void Clusters::doSample(double weight) { | |
174 | ✗ | size_t n = system->particles.size(); | |
175 | ✗ | Percolation &percolation = system->percolation; | |
176 | ✗ | percolation.update(); | |
177 | ✗ | for (const std::string &key : keys) { | |
178 | ✗ | auto &dist = distributions.at(key); | |
179 | ✗ | const auto &function = functions.at(key); | |
180 | ✗ | nMax = std::max(dist.size() - 1, n); | |
181 | ✗ | dist.resize(nMax + 1, 0); | |
182 | ✗ | for (size_t i = 0; i <= n; ++i) { | |
183 | ✗ | dist[i] += function(percolation, i, n) * weight; | |
184 | } | ||
185 | } | ||
186 | } | ||
187 | |||
188 | ✗ | std::vector<int> Clusters::shape() { return {nMax + 1}; } | |
189 | |||
190 | ✗ | std::vector<double> Clusters::coordinates(int axis) { | |
191 | ✗ | std::vector<double> result(nMax + 1); | |
192 | ✗ | std::iota(result.begin(), result.end(), 0); | |
193 | ✗ | return result; | |
194 | } | ||
195 | |||
196 | ✗ | std::vector<double> &Clusters::data(const std::string &key, | |
197 | Eigen::Array<int, Eigen::Dynamic, 1> species) { | ||
198 | ✗ | auto &dist = distributions.at(key); | |
199 | ✗ | auto &distNormed = distributionsNormed.at(key); | |
200 | ✗ | distNormed.resize(dist.size()); | |
201 | ✗ | for (size_t i = 0; i < dist.size(); ++i) { | |
202 | ✗ | distNormed[i] = dist[i] / totalWeight; | |
203 | } | ||
204 | ✗ | return distNormed; | |
205 | } | ||
206 | |||
207 | ✗ | Observables *ObservablesFactory::create(System *system, const std::string &category, | |
208 | const YAML::Node &config) { | ||
209 | ✗ | if (category == "Scalar") { | |
210 | ✗ | return new Scalar(system, config); | |
211 | ✗ | } else if (category == "Onebody") { | |
212 | ✗ | return new Onebody(system, config); | |
213 | ✗ | } else if (category == "Radial") { | |
214 | ✗ | return new Radial(system, config); | |
215 | ✗ | } else if (category == "TwobodyPlanar") { | |
216 | ✗ | return new TwobodyPlanar(system, config); | |
217 | ✗ | } else if (category == "Clusters") { | |
218 | ✗ | return new Clusters(system, config); | |
219 | } else { | ||
220 | ✗ | throw std::invalid_argument("No observable category of type " + category + " found"); | |
221 | } | ||
222 | } | ||
223 |