astro.fits

Class AbstractSkyMaker

java.lang.Object

util.PropertyContainer

astro.fits.AbstractSkyMaker

All Implemented Interfaces:

Cloneable, PropertySupplying

Direct Known Subclasses:

ElongatedSkyMaker, GaussSkyMaker

public abstract class AbstractSkyMaker
extends PropertyContainer

Class to generate an artificial sky image from a list of (sextractor) stars. Read-out noise and background level can be specified. The model generated is error-free in its ADUs, the errors are photon noise.

Author:

wooz

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
protected static class	AbstractSkyMaker.GaussThumbnail
static class	AbstractSkyMaker.Make
protected static class	AbstractSkyMaker.SkyRandomModel Returns a randomized image model with specified read-noise and gain.
static interface	AbstractSkyMaker.Thumbnail

Field Summary

Fields inherited from class util.PropertyContainer

KEY_LISTSEPARATOR, KEY_MAPKEYVALUECHAR, KEY_MAPSEPARATOR

Fields inherited from interface util.PropertySupplying

CONFIG, KEY_CLASS

Constructor Summary

Constructors

Constructor and Description
AbstractSkyMaker(Map<String,String> props)

Method Summary

Modifier and Type	Method and Description
AbstractSkyMaker.SkyRandomModel	createSky(List<SextractorStar> xy, Rectangle size)
protected abstract AbstractSkyMaker.Thumbnail	getStellarPsf(SextractorStar ss) Returns the point-spread function to be used for this stellar images.
float[]	pinprick(AbstractSkyMaker.SkyRandomModel model, List<SextractorStar> xy, float slender, boolean peak, Rectangle size, double bias, double ron) From a sky model and a list of stars, reduce the FWHM by a factor of slender, at the same time preserving peak (or flux).

Methods inherited from class util.PropertyContainer

augment, augment, augment, augment, augment, clone, defaultBoolean, defaultChar, defaultDouble, defaultFloat, defaultInt, defaultLong, defaultObject, defaultObject, defaultProperties, defaultProperty, getAsBoolean, getAsChar, getAsDouble, getAsEnums, getAsFloat, getAsInt, getAsList, getAsLong, getAsMap, getAsMap, getAsObject, getAsObject, getProperties, getProperty, has, initProperties, isNew, parseObject, parseObject, reload, reload, removeProperty, requires, rescanned, setObject, setProperties, setProperty, stringProperties, toString

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

AbstractSkyMaker

public AbstractSkyMaker(Map<String,String> props)

Parameters:

props -

Method Detail

createSky

public AbstractSkyMaker.SkyRandomModel createSky(List<SextractorStar> xy,
                                                 Rectangle size)

pinprick

public float[] pinprick(AbstractSkyMaker.SkyRandomModel model,
                        List<SextractorStar> xy,
                        float slender,
                        boolean peak,
                        Rectangle size,
                        double bias,
                        double ron)

From a sky model and a list of stars, reduce the FWHM by a factor of slender, at the same time preserving peak (or flux). Provide a read-noise to eliminate arbitrary multiplication factors. The returned array can be used on a real image to multiply away none-perfect stellar images.

Parameters:

model - As close as possible to the real image

xy - List of stars where reconstruction seeds on.

slender - Factors bigger than one blur the image.

peak - If true, peak value is conserved, otherwise area (flux).

size - Applicable size.

bias - Needed to get multiplication factors right.

ron - Read-noise, ADU changes below that are ignored (return value 1).

Returns:

getStellarPsf

protected abstract AbstractSkyMaker.Thumbnail getStellarPsf(SextractorStar ss)

Returns the point-spread function to be used for this stellar images. To speed up processing, the arguments are plane x/y coordinates from the star's center. The instrumental magnitude of the star is used to derive the ADU scaling.

Returns: