celeritas::test::HistogramSampler Class Reference

Sample one or more distributions, returning a histogram. More...

#include <HistogramSampler.hh>

Public Types
Type aliases
using	Dbl2 = Histogram::Dbl2

Public Member Functions
	HistogramSampler (size_type num_bins, Dbl2 domain, size_type num_samples)
	Construct with number of samples.
template<class DistributionT >
SampledHistogram	operator() (DistributionT &&sample_from)
	Sample from and accumulate the given distribution.
template<class TransformT , class DistributionT >
SampledHistogram	operator() (TransformT &&transform, DistributionT &&sample_from)
	Sample from and accumulate the given distribution using a transform.

Detailed Description

Sample one or more distributions, returning a histogram.

constexpr size_type num_samples = 1000;
HistogramSampler calc_histogram(8, {-1, 1}, num_samples);
std::vector<SampledHistogram> actual;
 
 
for (real_type inc_e : {0.1, 1.0, 1e2, 1e3, 1e6})
{
    for (real_type eps : {0.001, 0.01, 0.1})
    {
        MuAngularDistribution sample_mu{
            Energy{inc_e}, muon_mass, Energy{eps * inc_e}};
        actual.push_back(calc_histogram(sample_mu));
    }
}
SampledHistogram const expected[] = {
    {{0, 0, 0, 0, 0.484, 0.604, 0.96, 1.952}, 2},
    // ...
};
EXPECT_REF_EQ(expected, actual);

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The documentation for this class was generated from the following file:

• HistogramSampler.hh