#include <cmath>
#include <vector>
#include <gsl/gsl_fft_complex.h>

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Classes
class	fast_eta2y

class	cumulant_generating

Macros
#define	REAL(z, i) ((z)[2*(i)])

#define	IMAG(z, i) ((z)[2*(i)+1])

Functions
double	mean_function (double ta, double tb, double exp_ybeam)

double	std_function (double ta, double tb)

double	skew_function (double ta, double tb, int type_switch)
	The normalized skewness as function of Ta(x,y) and Tb(x,y)

Variables
double const	sqrt2 = std::sqrt(2)

constexpr double	TINY = 1e-12

constexpr int	relative_skew_switch = 1

constexpr int	absolute_skew_switch = 2

Macro Definition Documentation

#define IMAG	(	z,
		i
	)	((z)[2*(i)+1])

Definition at line 16 of file rapidity_profile.h.

View newest version in sPHENIX GitHub at line 16 of file rapidity_profile.h

Referenced by cumulant_generating::calculate_dsdy().

#define REAL	(	z,
		i
	)	((z)[2*(i)])

GSL fft of complex array, z_i = x_i + j*y_i data are stored in one real array A that A[2i] = x_i and A[2i+1] = y_i

Definition at line 15 of file rapidity_profile.h.

View newest version in sPHENIX GitHub at line 15 of file rapidity_profile.h

Referenced by cumulant_generating::calculate_dsdy().

Function Documentation

double mean_function	(	double	ta,
		double	tb,
		double	exp_ybeam
	)

inline

the mean of the rapidity distribution as function of Ta(x,y), Tb(x,y) and exp(y_beam). For the case both Ta and Tb are tiny small, mean = 0.0 is returned. For the case only Ta(Tb) = 0, it returns +(-)y_beam, For the case y_beam >> 1, mean ~ 0.5*log(Ta/Tb)

Definition at line 27 of file rapidity_profile.h.

View newest version in sPHENIX GitHub at line 27 of file rapidity_profile.h

References TINY.

Referenced by trento::Event::compute_reduced_thickness().

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