mapUtils Namespace Reference

Module to perform operations on maps, such as add noise to pixels, convolve with kernels etc. More...

Classes
struct	convolutionKernel
Functions
subroutine	kernelAlloc (ck)
subroutine	kernelFree (ck)
subroutine	gaussianKernel (gaussK, sigmaFWHM, pixscalX, pixscalY)
subroutine	topHatKernel (topHatK, radius, pixscalX, pixscalY)
subroutine	convolveMap (ck, rMap)
subroutine	mapFilterGaussian (rMap, sigmaFWHM)
subroutine	mapFilterTophat (rMap, radius)
subroutine	mapFilterDiscDifference (rMap, radius)
	Generate M_R - M_3R where M_X represnts map smoothed with Tophat of radius X.
subroutine	beamConvolveAndAddNoise (rMap, beamFWHM, noisePerBeam)
subroutine	AddNoise (rMap, noisePerPixel)
subroutine	createRandomMask (rMap, Nholes, beamFWHM, rMask, threshold)
subroutine	trimMapEdges (map, trimX, trimY, trimmedMap)
	Trims out the edges of a map given number of pixels in x and y direction.

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Detailed Description

Module to perform operations on maps, such as add noise to pixels, convolve with kernels etc.

Author:

Sudeep Das and Amir Hajian, Princeton University

Version:

Time-stamp: <2009-06-20 21:53:53 sudeep>

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Function Documentation

subroutine mapUtils::AddNoise	(	type(FFTRMap)	rMap,
		real(dp)	noisePerPixel
	)

Parameters:

rMap	Just adds white noise to the map
noisePerPixel	Noise in each map pixel

subroutine mapUtils::beamConvolveAndAddNoise	(	type(FFTRMap)	rMap,
		real(dp)	beamFWHM,
		real(dp)	noisePerBeam
	)

Parameters:

beamFWHM	Gaussian beam to convolve with (in degrees)
noisePerBeam	Noise in each sky pixel defined as beamFWHM^2 (in appropriate units)

subroutine mapUtils::convolveMap	(	type(convolutionKernel)	ck,
		type(FFTRMap)	rMap
	)

subroutine mapUtils::createRandomMask	(	type(FFTRMap)	rMap,
		integer(i4b)	Nholes,
		real(dp)	beamFWHM,
		type(FFTRMap)	rMask,
		real(dp),optional	threshold
	)

Parameters:

Nholes	Number of holes to be poked
beamFWHM	FWHM of the experimental beam
rMask	Mask to be allocated and returned
threshold	A number to control the size of the holes

subroutine mapUtils::gaussianKernel	(	type(convolutionKernel)	gaussK,
		real(dp)	sigmaFWHM,
		real(dp)	pixscalX,
		real(dp)	pixscalY
	)

Parameters:

sigmaFWHM	Beam FWHM in radians
pixscalY	Pixel scales in radians

subroutine mapUtils::kernelAlloc

(

type(convolutionKernel)

ck

)

subroutine mapUtils::kernelFree

(

type(convolutionKernel)

ck

)

subroutine mapUtils::mapFilterDiscDifference	(	type(FFTRMap)	rMap,
		real(dp)	radius
	)

Generate M_R - M_3R where M_X represnts map smoothed with Tophat of radius X.

Parameters:

radius

radius in degrees

subroutine mapUtils::mapFilterGaussian	(	type(FFTRMap)	rMap,
		real(dp)	sigmaFWHM
	)

Parameters:

sigmaFWHM

FWHM in degrees

subroutine mapUtils::mapFilterTophat	(	type(FFTRMap)	rMap,
		real(dp)	radius
	)

Parameters:

radius

radius in degrees

subroutine mapUtils::topHatKernel	(	type(convolutionKernel)	topHatK,
		real(dp)	radius,
		real(dp)	pixscalX,
		real(dp)	pixscalY
	)

Parameters:

radius	radius in radians
pixscalY	Pixel scales in radians

subroutine mapUtils::trimMapEdges	(	type(FFTRMap)	map,
		integer(i4b)	trimX,
		integer(i4b)	trimY,
		type(FFTRMap)	trimmedMap
	)

Trims out the edges of a map given number of pixels in x and y direction.

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