Inheritance diagram for Distribution2DGaussSampler:

Collaboration diagram for Distribution2DGaussSampler:

Public Member Functions
	Distribution2DGaussSampler (double omega_x, double omega_y)

std::pair< double, double >	randomSample () const final

Private Attributes
double	m_omega_x

double	m_omega_y

Detailed Description

Definition at line 42 of file IDistribution2DSampler.h.

Constructor & Destructor Documentation

◆ Distribution2DGaussSampler()

Distribution2DGaussSampler::Distribution2DGaussSampler	(	double	omega_x,
		double	omega_y
	)

inline

Definition at line 45 of file IDistribution2DSampler.h.

         : m_omega_x(omega_x), m_omega_y(omega_y)
     {
     }

Member Function Documentation

◆ randomSample()

std::pair< double, double > Distribution2DGaussSampler::randomSample ( ) const

finalvirtual

Implements IDistribution2DSampler.

Definition at line 141 of file IDistribution2DSampler.cpp.

 {
     std::random_device rd;  // random device class instance
     std::mt19937 gen(rd()); // Standard mersenne_twister_engine seeded with rd()
     std::uniform_real_distribution<double> uniformDist(0.0, 1.0);
  
     double cdf_value_phi = uniformDist(gen);
  
     // Use ITS and solve for phi from the cdf of radial (phi) distribution
     double phi = std::sqrt(-2 * std::log(1 - cdf_value_phi));
     double alpha = 2 * M_PI * uniformDist(gen);
     return std::make_pair(m_omega_x * phi * std::cos(alpha), m_omega_y * phi * std::sin(alpha));
 }

References m_omega_x, m_omega_y, and M_PI.

Member Data Documentation

◆ m_omega_x

double Distribution2DGaussSampler::m_omega_x

private

Definition at line 52 of file IDistribution2DSampler.h.

Referenced by randomSample().

◆ m_omega_y

double Distribution2DGaussSampler::m_omega_y