GaussianNoiseCreator Class Reference

Data creator: Gaussian random data. More...

Inheritance diagram for GaussianNoiseCreator:

Public Member Functions
	GaussianNoiseCreator (std::string name, float sigma, float mu=0.)
	Constructor: assigns data set name and noise parameters. More...
virtual InputData_t	create (size_t size) override
	Creates and returns the data sample. More...
Public Member Functions inherited from DataCreatorBase
	DataCreatorBase (std::string new_name)
	Constructor: just assigns a name to this data set. More...
std::string	name () const
	Returns the name of this set. More...
virtual	~DataCreatorBase ()
	Virtual destructor. More...

Public Attributes
float	mean
	mean of the noise Gaussian (pedestal) More...
float	stdev
	standard deviation of the noise Gaussian (RMS) More...

Additional Inherited Members
Public Types inherited from DataCreatorBase
typedef std::vector< short >	InputData_t
Static Public Attributes inherited from DataCreatorBase
static std::default_random_engine	random_engine
	Random engine shared by all the data creators. More...

Detailed Description

Data creator: Gaussian random data.

Definition at line 117 of file raw_test.cc.

Constructor & Destructor Documentation

GaussianNoiseCreator::GaussianNoiseCreator ( std::string  name, float  sigma, float  mu = 0.  )

inline

Constructor: assigns data set name and noise parameters.

Definition at line 124 of file raw_test.cc.

                                                            :
                DataCreatorBase(name),
                mean(mu), stdev(sigma)
                {}

Member Function Documentation

virtual InputData_t GaussianNoiseCreator::create ( size_t  size )

inlineoverridevirtual

Creates and returns the data sample.

Implements DataCreatorBase.

Definition at line 130 of file raw_test.cc.

                {
                        std::normal_distribution<float> noise(mean, stdev);
                        InputData_t data(size);
                        for (auto& item: data)
                                item = InputData_t::size_type(noise(random_engine));
                        return data;
                } // create()

Member Data Documentation

float GaussianNoiseCreator::mean

mean of the noise Gaussian (pedestal)

Definition at line 119 of file raw_test.cc.

float GaussianNoiseCreator::stdev

standard deviation of the noise Gaussian (RMS)

Definition at line 120 of file raw_test.cc.

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

• lardataobj/test/RawData/raw_test.cc