Classes
struct	Params

Public Types
enum	OverlapMode { OVERLAP_SUM_SQRTS, OVERLAP_SQRT_SUMS, OVERLAP_SUMS, OVERLAP_MAXES }

Public Member Functions
	ProbabilityMap (const Params *p=0)

int	combineWith (const ProbabilityMap &other)

int	add (const AnitaEventSummary sum, const Adu5Pat pat, AnitaPol::AnitaPol_t pol, int peak=0, double weight=1, TFile *debugfile=0)

double	computeContributions (const AnitaEventSummary sum, const Adu5Pat pat, AnitaPol::AnitaPol_t pol, int peak, std::vector< std::pair< int, double > > &contribution, std::vector< std::pair< int, double > > base_contributions=0, std::vector< std::pair< int, double > > occlusion=0, std::vector< std::pair< int, double > > maximum_density=0, TFile debugfile=0) const

double	overlap (const AnitaEventSummary sum, const Adu5Pat pat, AnitaPol::AnitaPol_t pol, int peak=0, bool normalized=false, double weight=1, std::vector< std::pair< int, double > > bases=0, OverlapMode mode=OVERLAP_SUM_SQRTS, bool remove_self_contribution=true, std::vector< std::pair< int, double > > segments=0, std::vector< std::pair< int, double > > max_dens=0, double inv_two_pi_sqrt_det=0) const

double	getProbSumsIntegral (bool normalizd=false) const

const double *	getProbSums (bool normalized=false) const

const double *	getProbSumsWithoutBases (int base_level, bool normalized=false) const

const double *	getProbSqrtSums (bool normalized=false) const

const double *	getProbSqrtSumsWithoutBases (int base_level, bool normalized=false) const

const double *	getProbMaxes (bool normalized=false) const

const double *	getProbSecondMaxes (bool normalized=false) const

const double *	getOccludedFractionSum () const

const int *	getNAboveLevel (int level, bool normalized=false) const

const int *	getNAboveLevelWithoutBases (int level, bool normalized=false) const

const double *	getWgtAboveLevel (int level, bool normalized=false) const

const double *	getWgtAboveLevelWithoutBases (int level, bool normalized=false) const

size_t	NLevels () const

double	getLevel (int level) const

const AntarcticSegmentationScheme *	segmentationScheme () const

double	maxDistance () const

size_t	getNBases () const

const double *	getBaseSums (bool normalized=false) const

const int *	getBaseNAboveLevel (int level, bool normalized=false) const

int	groupAdjacent (const double vals_to_group, std::vector< std::vector< int > > groups=0, double counts=0, std::vector< double > distribution=0) const

int	dumpNonZeroBases () const

int	makeMultiplicityTable (int level, bool blind=true, bool draw=false) const

Static Public Member Functions
static double	cdf2dist (double p)

static double	dist2cdf (double d)

static double	get_two_pi_sqrt_det (double sigma1, double sigma2, double corr)

static double	get_inv_two_pi_sqrt_det (double sigma1, double sigma2, double corr)

static double	dist2dens (double dist, double inv_two_pi_sqrt_det)

static double	dens2dist (double dens, double two_pi_sqrt_det)

Detailed Description

Definition at line 33 of file ProbabilityMap.h.

Inheritance diagram for UCorrelator::ProbabilityMap:

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Collaboration diagram for UCorrelator::ProbabilityMap:

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Constructor & Destructor Documentation

UCorrelator::ProbabilityMap::ProbabilityMap ( const Params * p = 0 )

Initialize a probability map. If you pass 0 for params, the defaults are used;

Definition at line 30 of file ProbabilityMap.cc.

Member Function Documentation

int UCorrelator::ProbabilityMap::add	(	const AnitaEventSummary *	sum,
		const Adu5Pat *	pat,
		AnitaPol::AnitaPol_t	pol,
		int	peak = `0`,
		double	weight = `1`,
		TFile *	debugfile = `0`
	)

Add a point to the clustering. Returns the number of segments that had a non-zero contributions

Definition at line 64 of file ProbabilityMap.cc.

static double UCorrelator::ProbabilityMap::cdf2dist ( double p )

inlinestatic

Conversions between integrated probability and mahalanobis_distance

Definition at line 38 of file ProbabilityMap.h.

int UCorrelator::ProbabilityMap::combineWith ( const ProbabilityMap & other )

Used to combine information from various maps

Definition at line 326 of file ProbabilityMap.cc.

double UCorrelator::ProbabilityMap::computeContributions	(	const AnitaEventSummary *	sum,
		const Adu5Pat *	pat,
		AnitaPol::AnitaPol_t	pol,
		int	peak,
		std::vector< std::pair< int, double > > &	contribution,
		std::vector< std::pair< int, double > > *	base_contributions = `0`,
		std::vector< std::pair< int, double > > *	occlusion = `0`,
		std::vector< std::pair< int, double > > *	maximum_density = `0`,
		TFile *	debugfile = `0`
	)		const

This method actually does most of the hard work.

Some day I'll document it.

Loop over segments we need to check to see if p > cutoff

Set occluded to 0

Why not just get rid of them entirely you ask? I think the zero's might be important for calculating the integral properly. But maybe they're not. I'll look into it.

write out triangles for debugging if wanted

Definition at line 436 of file ProbabilityMap.cc.

static double UCorrelator::ProbabilityMap::dist2dens	(	double	dist,
		double	inv_two_pi_sqrt_det
	)

inlinestatic

Conversion between probability density and mahalanobis distance

Definition at line 45 of file ProbabilityMap.h.

int UCorrelator::ProbabilityMap::groupAdjacent	(	const double *	vals_to_group,
		std::vector< std::vector< int > > *	groups = `0`,
		double *	counts = `0`,
		std::vector< double > *	distribution = `0`
	)		const

This will take a set of of values (indexed by segment) and form groupings where all adjacent non-zero values are grouped together and the value is at all of those segments is the integral of the group (stored in counts). Optionally, will also fill a vector with the distribution of integrals.

Returns the number of groupings.

Definition at line 821 of file ProbabilityMap.cc.

double UCorrelator::ProbabilityMap::overlap	(	const AnitaEventSummary *	sum,
		const Adu5Pat *	pat,
		AnitaPol::AnitaPol_t	pol,
		int	peak = `0`,
		bool	normalized = `false`,
		double	weight = `1`,
		std::vector< std::pair< int, double > > *	bases = `0`,
		OverlapMode	mode = `OVERLAP_SUM_SQRTS`,
		bool	remove_self_contribution = `true`,
		std::vector< std::pair< int, double > > *	segments = `0`,
		std::vector< std::pair< int, double > > *	max_dens = `0`,
		double *	inv_two_pi_sqrt_det = `0`
	)		const

Check the overlap of a point with the probability map. If the point is already in the probability map, remove_self_contribution should be true so that it won't count against itself. If you are checking a point not in the map already with the map, you should set it to false.

Definition at line 248 of file ProbabilityMap.cc.

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

components/UCorrelator/include/ProbabilityMap.h
components/UCorrelator/src/ProbabilityMap.cc

Classes

Public Types

Public Member Functions

Static Public Member Functions

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation