def Lacosmic_WHTData(self, InputFile, OutputFile, Fits_Folder, CodeName, gain, readnoise, sigclip, verbose):
#Load the data
(array, header) = cosmics.fromfits(Fits_Folder + InputFile, verbose = verbose)
upsample = 1
#Create the task object
c = cosmics.cosmicsimage(array, pssl = 0.0, gain=1.16, readnoise=5, sigclip = 16, verbose = verbose)
#Run the task
c.run(maxiter = 4, verbose = verbose)
#Proceed to generate the images
#-- 1) The raw input array
im = f2n.f2nimage(c.getrawarray(), verbose=False)
im.setzscale()
im.makepilimage("log")
im.upsample(upsample)
im.writetitle("Input image", colour = (0,255,0))
im.tonet(Fits_Folder + CodeName + "_1_raw.png")
#-- 2) The raw input array
#-- We output a list of the positions of detected cosmic ray hits.
#-- This is made on purpose to be fed into f2n's drawstarslist :
labeldict = c.labelmask()
im = f2n.f2nimage(c.getrawarray(), verbose=False)
im.setzscale()
im.makepilimage("log")
im.drawmask(c.getsatstars(), colour=(255, 0, 255))
im.upsample(upsample)
im.drawstarslist(labeldict, colour=(255,0,0))
im.writetitle("Cosmic ray hits", colour = (0,255,0))
im.tonet(Fits_Folder + CodeName + "_2_labels.png")
#-- 3) Tne png with the precise mask in green and a wider version in blue :
im = f2n.f2nimage(c.getrawarray(), verbose=False)
im.setzscale()
im.makepilimage("log")
im.drawmask(c.getdilatedmask(size=5), colour=(0, 0, 255))
im.drawmask(c.getmask(), colour=(0, 255, 0))
im.upsample(upsample)
im.writetitle("Mask", colour = (0,255,0))
im.tonet(Fits_Folder + CodeName + "_3_mask.png")
#-- 4) And of course one png with the clean array :
im = f2n.f2nimage(c.getcleanarray(), verbose=False)
im.setzscale()
im.makepilimage("log")
im.upsample(upsample)
im.writetitle("Cleaned image", colour = (0,255,0))
im.tonet(Fits_Folder + CodeName + "_4_clean.png")
#Save the FitsFile (CHECK THE HEADER):
cosmics.tofits(Fits_Folder + OutputFile, c.cleanarray, header)
return
# Demo_Folder = "/home/vital/Dropbox/Astrophysics/Tools/PyRaf/LaCosmic_Python/demo_2_withpng/"
# Demo_Input = "euler.fits"
#
# import cosmics, f2n
from Scientific_Lib import cosmics
from Scientific_Lib import f2n
Demo_Folder = "/home/vital/Dropbox/Astrophysics/Tools/PyRaf/LaCosmic_Python/demo_2_withpng/"
Demo_Input = "euler.fits"
Demo_Input = "obj8_c_f.fits"
# Read the FITS :
(array, header) = cosmics.fromfits(Demo_Folder + Demo_Input, verbose = True)
# We can of course crop the numpy array :
#array = array[100:500,210:525]
# z1=170
# z2=5000
upsample = 1
# Build the object :
c = cosmics.cosmicsimage(array, pssl = 0.0, gain=1.16, readnoise=5,
sigclip = 16, verbose = True)
# Run :
c.run(maxiter = 4, verbose = False)