def makeImageStack(self,imageStackFilename='',dt=30,wvlStart=None,wvlStop=None,
weighted=True, fluxWeighted=False, getRawCount=False,
scaleByEffInt=True, deadTime=100.e-6, filterName = None):
'''
This function makes an image stack using the ObsFileSeq class
Inputs:
imageStackFilename - full path of file.
- An empty string means use the default location using self.path and self.fileID
dt - the maximum number of seconds for one frame
keywords for image
'''
tsl = []
for day_i in range(len(self.params['utcDates'])):
for tstamp in self.params['obsTimes'][day_i]:
tsl.append(self.params['utcDates'][day_i]+'-'+tstamp)
#tsl=tsl[:1]
ofs = ObsFileSeq(name=self.targetName,run=self.run,date=self.params['sunsetDates'][0],timeStamps=tsl,dt=dt)
if imageStackFilename is None or imageStackFilename is '': imageStackFilename = self.path+os.sep+'ImageStacks'+os.sep+'ImageStack_'+self.fileID+'.h5'
self.im_params, self.im_dict = ofs.loadImageStack(imageStackFilename, wvlStart=wvlStart,wvlStop=wvlStop,
weighted=weighted, fluxWeighted=fluxWeighted, getRawCount=getRawCount,
scaleByEffInt=scaleByEffInt, deadTime=deadTime, filterName=filterName)
self.imageStackFilename = imageStackFilename
"""
Make all the FITS files and the plot location file.
Use this to find the information needed fo ofs2.py
"""
from util.ObsFileSeq import ObsFileSeq
from util.readDict import readDict
d = readDict()
d.read_from_file("mosaic.dict")
name = 'PSN234416a'
dt = 200
ofs = ObsFileSeq(name, d['run'], d['date'], d['timeStampList'], dt)
#ofs.plotLocations(name+".png")
wvMin = 3000
wvMax = 13000
ofs.makeAllFitsFiles(wvMin, wvMax)
