#include "openmc/distribution_angle.h"

#include <cmath> // for abs, copysign

#include "openmc/tensor.h"

#include "openmc/endf.h"

#include "openmc/hdf5_interface.h"

#include "openmc/math_functions.h"

#include "openmc/random_lcg.h"

#include "openmc/search.h"

#include "openmc/vector.h" // for vector

namespace openmc {

//==============================================================================

// AngleDistribution implementation

//==============================================================================

AngleDistribution::AngleDistribution(hid_t group)

{

// Get incoming energies

read_dataset(group, "energy", energy_);

int n_energy = energy_.size();

// Get outgoing energy distribution data

vector<int> offsets;

vector<int> interp;

hid_t dset = open_dataset(group, "mu");

read_attribute(dset, "offsets", offsets);

read_attribute(dset, "interpolation", interp);

tensor::Tensor<double> temp;

read_dataset(dset, temp);

close_dataset(dset);

for (int i = 0; i < n_energy; ++i) {

// Determine number of outgoing energies

int j = offsets[i];

int n;

if (i < n_energy - 1) {

n = offsets[i + 1] - j;

} else {

n = temp.shape(1) - j;

}

// Create and initialize tabular distribution

tensor::View<double> xs = temp.slice(0, tensor::range(j, j + n));

tensor::View<double> ps = temp.slice(1, tensor::range(j, j + n));

tensor::View<double> cs = temp.slice(2, tensor::range(j, j + n));

vector<double> x {xs.begin(), xs.end()};

vector<double> p {ps.begin(), ps.end()};

vector<double> c {cs.begin(), cs.end()};

// To get answers that match ACE data, for now we still use the tabulated

// CDF values that were passed through to the HDF5 library. At a later

// time, we can remove the CDF values from the HDF5 library and

// reconstruct them using the PDF

Tabular* mudist =

new Tabular {x.data(), p.data(), n, int2interp(interp[i]), c.data()};

distribution_.emplace_back(mudist);

}

}

double AngleDistribution::sample(double E, uint64_t* seed) const

{

// Find energy bin and calculate interpolation factor

int i;

double r;

get_energy_index(energy_, E, i, r);

// Sample between the ith and (i+1)th bin

if (r > prn(seed))

++i;

// Sample i-th distribution

double mu = distribution_[i]->sample(seed).first;

// Make sure mu is in range [-1,1] and return

if (std::abs(mu) > 1.0)

mu = std::copysign(1.0, mu);

return mu;

}

double AngleDistribution::evaluate(double E, double mu) const

{

// Find energy bin and calculate interpolation factor

int i;

double r;

get_energy_index(energy_, E, i, r);

return r * distribution_[i + 1]->evaluate(mu) +

(1.0 - r) * distribution_[i]->evaluate(mu);

}

} // namespace openmc