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This commit is contained in:
Adam G Nelson 2018-06-17 10:10:53 -04:00
parent 1343ef2000
commit 8c2a88243b
6 changed files with 420 additions and 102 deletions
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18
src/scattdata.cpp
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@ -7,7 +7,7 @@ namespace openmc {
//==============================================================================
void
ScattData::generic_init(int order, int_1dvec& in_gmin, int_1dvec& in_gmax,
ScattData::base_init(int order, int_1dvec& in_gmin, int_1dvec& in_gmax,
double_2dvec& in_energy, double_2dvec& in_mult)
{
int groups = in_energy.size();
@ -42,7 +42,7 @@ ScattData::generic_init(int order, int_1dvec& in_gmin, int_1dvec& in_gmax,
//==============================================================================
void
ScattData::generic_combine(const int max_order,
ScattData::base_combine(const int max_order,
const std::vector<ScattData*>& those_scatts, const double_1dvec& scalars,
int_1dvec& in_gmin, int_1dvec& in_gmax, double_2dvec& sparse_mult,
double_3dvec& sparse_scatter)
@ -277,7 +277,7 @@ ScattDataLegendre::init(int_1dvec& in_gmin, int_1dvec& in_gmax,
}
// Initialize the base class attributes
ScattData::generic_init(order, in_gmin, in_gmax, in_energy, in_mult);
ScattData::base_init(order, in_gmin, in_gmax, in_energy, in_mult);
// Set the distribution (sdata.dist) values and initialize max_val
max_val.resize(groups);
@ -407,7 +407,7 @@ ScattDataLegendre::combine(const std::vector<ScattData*>& those_scatts,
// The rest of the steps do not depend on the type of angular representation
// so we use a base class method to sum up xs and create new energy and mult
// matrices
ScattData::generic_combine(max_order, those_scatts, scalars, in_gmin, in_gmax,
ScattData::base_combine(max_order, those_scatts, scalars, in_gmin, in_gmax,
sparse_mult, sparse_scatter);
// Got everything we need, store it.
@ -479,7 +479,7 @@ ScattDataHistogram::init(int_1dvec& in_gmin, int_1dvec& in_gmax,
}
// Initialize the base class attributes
ScattData::generic_init(order, in_gmin, in_gmax, in_energy,
ScattData::base_init(order, in_gmin, in_gmax, in_energy,
in_mult);
// Build the angular distribution mu values
@ -631,7 +631,7 @@ ScattDataHistogram::combine(const std::vector<ScattData*>& those_scatts,
// The rest of the steps do not depend on the type of angular representation
// so we use a base class method to sum up xs and create new energy and mult
// matrices
ScattData::generic_combine(max_order, those_scatts, scalars, in_gmin, in_gmax,
ScattData::base_combine(max_order, those_scatts, scalars, in_gmin, in_gmax,
sparse_mult, sparse_scatter);
// Got everything we need, store it.
@ -691,7 +691,7 @@ ScattDataTabular::init(int_1dvec& in_gmin, int_1dvec& in_gmax,
}
// Initialize the base class attributes
ScattData::generic_init(order, in_gmin, in_gmax, in_energy, in_mult);
ScattData::base_init(order, in_gmin, in_gmax, in_energy, in_mult);
// Calculate f(mu) and integrate it so we can avoid rejection sampling
fmu.resize(groups);
@ -855,7 +855,7 @@ ScattDataTabular::combine(const std::vector<ScattData*>& those_scatts,
// The rest of the steps do not depend on the type of angular representation
// so we use a base class method to sum up xs and create new energy and mult
// matrices
ScattData::generic_combine(max_order, those_scatts, scalars, in_gmin, in_gmax,
ScattData::base_combine(max_order, those_scatts, scalars, in_gmin, in_gmax,
sparse_mult, sparse_scatter);
// Got everything we need, store it.
@ -881,7 +881,7 @@ convert_legendre_to_tabular(ScattDataLegendre& leg, ScattDataTabular& tab,
}
}
tab.generic_init(n_mu, leg.gmin, leg.gmax, leg.energy, leg.mult);
tab.base_init(n_mu, leg.gmin, leg.gmax, leg.energy, leg.mult);
tab.scattxs = leg.scattxs;
// Build mu and dmu