Structure to hold per-event weights for distribution. More...

#include <RatesHistoBase.h>

Collaboration diagram for WeightingValuesSummary_t:

Public Member Functions
const std::string	print ()

Public Attributes
double	m_enhancedBiasWeight
	A property of the event derived from online enhanced bias prescales.
double	m_eventMu
	The actual number of interactions in the event.
double	m_eventLumi
	The instantaneous lumi in cm-2s-1.
bool	m_isUnbiased
	If the event was taken online with a RD trigger.
uint32_t	m_distanceInTrain
	How far into the bunch train the event was, in bunch crossings.
double	m_eventLiveTime
	How much wall-time at P1 did this event represent.
double	m_bunchFactor
	What weight needs to be applied to extrapolate rates linear in number of bunches.
double	m_muFactor
	What weight needs to be applied to extrapolate rates linear in mu.
double	m_linearLumiFactor
	What weight needs to be applied to extrapolate rates linear in mu and bunches.
double	m_expoMuFactor
	What weight needs to be applied to extrapolate rates linear in bunches and exponential in mu.
const double	m_noScaling = 1.
	Weight for no scaling.

Detailed Description

Structure to hold per-event weights for distribution.

Definition at line 55 of file RatesHistoBase.h.

Member Function Documentation

◆ print()

const std::string WeightingValuesSummary_t::print ( )

inline

Definition at line 69 of file RatesHistoBase.h.

                          {
    std::stringstream ss;
    ss << "WeightSummary: wEB:" << m_enhancedBiasWeight << " mu:" << m_eventMu << " lumi:" << m_eventLumi;
    ss << " isUnbiased:" << m_isUnbiased << " distanceInTrain:" << m_distanceInTrain;
    ss << " liveTime:" << m_eventLiveTime;
    ss << " lwBunch:" << m_bunchFactor << " lwMu:" << m_muFactor;
    ss << " lwExpoMu:" << m_expoMuFactor << " lwLin:" << m_linearLumiFactor;
    return ss.str();
  } 

Member Data Documentation

◆ m_bunchFactor

double WeightingValuesSummary_t::m_bunchFactor

What weight needs to be applied to extrapolate rates linear in number of bunches.

Definition at line 64 of file RatesHistoBase.h.

◆ m_distanceInTrain

uint32_t WeightingValuesSummary_t::m_distanceInTrain

How far into the bunch train the event was, in bunch crossings.

Definition at line 61 of file RatesHistoBase.h.

◆ m_enhancedBiasWeight

double WeightingValuesSummary_t::m_enhancedBiasWeight

A property of the event derived from online enhanced bias prescales.

Definition at line 57 of file RatesHistoBase.h.

◆ m_eventLiveTime

double WeightingValuesSummary_t::m_eventLiveTime

How much wall-time at P1 did this event represent.

Definition at line 62 of file RatesHistoBase.h.

◆ m_eventLumi

double WeightingValuesSummary_t::m_eventLumi

The instantaneous lumi in cm-2s-1.

Definition at line 59 of file RatesHistoBase.h.

◆ m_eventMu

double WeightingValuesSummary_t::m_eventMu

The actual number of interactions in the event.

Definition at line 58 of file RatesHistoBase.h.

◆ m_expoMuFactor

double WeightingValuesSummary_t::m_expoMuFactor

What weight needs to be applied to extrapolate rates linear in bunches and exponential in mu.

Definition at line 67 of file RatesHistoBase.h.

◆ m_isUnbiased

bool WeightingValuesSummary_t::m_isUnbiased

If the event was taken online with a RD trigger.

Definition at line 60 of file RatesHistoBase.h.

◆ m_linearLumiFactor

double WeightingValuesSummary_t::m_linearLumiFactor

What weight needs to be applied to extrapolate rates linear in mu and bunches.

Definition at line 66 of file RatesHistoBase.h.

◆ m_muFactor

double WeightingValuesSummary_t::m_muFactor

What weight needs to be applied to extrapolate rates linear in mu.

Definition at line 65 of file RatesHistoBase.h.

◆ m_noScaling

const double WeightingValuesSummary_t::m_noScaling = 1.

Weight for no scaling.

Definition at line 68 of file RatesHistoBase.h.

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

RatesHistoBase.h

Public Member Functions

Public Attributes