LSSTApplications  18.1.0
LSSTDataManagementBasePackage
Namespaces | Functions
isrFunctions.py File Reference

Go to the source code of this file.

Namespaces

 lsst.ip.isr.isrFunctions
 

Functions

def lsst.ip.isr.isrFunctions.createPsf (fwhm)
 
def lsst.ip.isr.isrFunctions.transposeMaskedImage (maskedImage)
 
def lsst.ip.isr.isrFunctions.interpolateDefectList (maskedImage, defectList, fwhm, fallbackValue=None)
 
def lsst.ip.isr.isrFunctions.defectListFromFootprintList (fpList)
 
def lsst.ip.isr.isrFunctions.transposeDefectList (defectList)
 
def lsst.ip.isr.isrFunctions.maskPixelsFromDefectList (maskedImage, defectList, maskName='BAD')
 
def lsst.ip.isr.isrFunctions.getDefectListFromMask (maskedImage, maskName)
 
def lsst.ip.isr.isrFunctions.makeThresholdMask (maskedImage, threshold, growFootprints=1, maskName='SAT')
 
def lsst.ip.isr.isrFunctions.interpolateFromMask (maskedImage, fwhm, growSaturatedFootprints=1, maskNameList=['SAT'], fallbackValue=None)
 
def lsst.ip.isr.isrFunctions.saturationCorrection (maskedImage, saturation, fwhm, growFootprints=1, interpolate=True, maskName='SAT', fallbackValue=None)
 
def lsst.ip.isr.isrFunctions.trimToMatchCalibBBox (rawMaskedImage, calibMaskedImage)
 
def lsst.ip.isr.isrFunctions.biasCorrection (maskedImage, biasMaskedImage, trimToFit=False)
 
def lsst.ip.isr.isrFunctions.darkCorrection (maskedImage, darkMaskedImage, expScale, darkScale, invert=False, trimToFit=False)
 
def lsst.ip.isr.isrFunctions.updateVariance (maskedImage, gain, readNoise)
 
def lsst.ip.isr.isrFunctions.flatCorrection (maskedImage, flatMaskedImage, scalingType, userScale=1.0, invert=False, trimToFit=False)
 
def lsst.ip.isr.isrFunctions.illuminationCorrection (maskedImage, illumMaskedImage, illumScale)
 
def lsst.ip.isr.isrFunctions.overscanCorrection (ampMaskedImage, overscanImage, fitType='MEDIAN', order=1, collapseRej=3.0, statControl=None, overscanIsInt=True)
 
def lsst.ip.isr.isrFunctions.brighterFatterCorrection (exposure, kernel, maxIter, threshold, applyGain)
 
def lsst.ip.isr.isrFunctions.gainContext (exp, image, apply)
 
def lsst.ip.isr.isrFunctions.attachTransmissionCurve (exposure, opticsTransmission=None, filterTransmission=None, sensorTransmission=None, atmosphereTransmission=None)
 
def lsst.ip.isr.isrFunctions.addDistortionModel (exposure, camera)
 Update the WCS in exposure with a distortion model based on camera geometry. More...
 
def lsst.ip.isr.isrFunctions.applyGains (exposure, normalizeGains=False)
 
def lsst.ip.isr.isrFunctions.widenSaturationTrails (mask)
 
def lsst.ip.isr.isrFunctions.setBadRegions (exposure, badStatistic="MEDIAN")