def main(argv):
data = None
conf = None
try:
opts, args = getopt.getopt(argv, "hf:i:", ["file=:init="])
except getopt.GetoptError:
print 'differentialPhotometry.py [-f <outputfile>] [-i <initfile file>'
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print '(Show light curve on screen) -> differentialPhotometry.py'
print '(Save light curve on file) -> differentialPhotometry.py [-f <outputfile>]'
print '(Set init config file) -> differentialPhotometry.py [-i <initfile>]'
sys.exit()
elif opt in ("-i", "--init"):
conf = arg
elif opt in ("-f", "--file"):
data = dataBankFileOutput(conf, arg)
if data is None:
data = dataBank(conf)
differentialExecutor = differentialPhotometryExecutor(data)
differentialExecutor.executeDifferentialPhotometry()
from matplotlib import pyplot as plt
import oscaar
import astrometry
import photometry
import dataBank
import systematics
import IO
import pyfits
# Turn on interactive plots
plt.ion()
# initalize databank for data storage
data = dataBank.dataBank()
# Store initialized dictionary
allStars = data.getDict()
outputPath = data.outputPath
N_exposures = len(data.getPaths())
# Prepare systematic corrections: dark frame, flat field
meanDarkFrame = data.getMeanDarkFrame()
masterFlat = data.masterFlat
# Tell oscaar what figure settings to use
plottingThings, statusBarFig, statusBarAx = \
IO.plottingSettings(data.trackPlots, data.photPlots)
# Main loop: iterate through each exposures
for expNumber in xrange(N_exposures):
from matplotlib import pyplot as plt
import oscaar
import astrometry
import photometry
import dataBank
import systematics
import IO
import pyfits
# Turn on interactive plots
plt.ion()
# initalize databank for data storage
data = dataBank.dataBank()
# Store initialized dictionary
allStars = data.getDict()
outputPath = data.outputPath
N_exposures = len(data.getPaths())
# Prepare systematic corrections: dark frame, flat field
meanDarkFrame = data.getMeanDarkFrame()
masterFlat = data.masterFlat
# Tell oscaar what figure settings to use
plottingThings, statusBarFig, statusBarAx = \
IO.plottingSettings(data.trackPlots, data.photPlots)
# Main loop: iterate through each exposures
for expNumber in xrange(N_exposures):
Core developer: Brett Morris
'''
import oscaar
import astrometry
import photometry
import dataBank
import systematics
import IO
import pyfits
from matplotlib import pyplot as plt
plt.ion() ## Turn on interactive plots
data = dataBank.dataBank(
) #imagesPath,darksPath,flatPath,regsPath,ingress,egress) ## initalize databank for data storage
allStars = data.getDict() ## Store initialized dictionary
outputPath = data.outputPath
N_exposures = len(data.getPaths())
## Prepare systematic corrections: dark frame, flat field
meanDarkFrame = systematics.meanDarkFrame(data.darksPath)
masterFlat = data.masterFlat
## Tell oscaar what figure settings to use
plottingThings, statusBarFig, statusBarAx = IO.plottingSettings(
data.trackPlots, data.photPlots)
## Main loop: iterate through each exposures
for expNumber in range(0, N_exposures):
Core developer: Brett Morris ''' import oscaar import astrometry import photometry import dataBank import systematics import IO import pyfits from matplotlib import pyplot as plt plt.ion() ## Turn on interactive plots data = dataBank.dataBank()#imagesPath,darksPath,flatPath,regsPath,ingress,egress) ## initalize databank for data storage allStars = data.getDict() ## Store initialized dictionary outputPath = data.outputPath N_exposures = len(data.getPaths()) ## Prepare systematic corrections: dark frame, flat field meanDarkFrame = systematics.meanDarkFrame(data.darksPath) masterFlat = data.masterFlat ## Tell oscaar what figure settings to use plottingThings,statusBarFig,statusBarAx = IO.plottingSettings(data.trackPlots,data.photPlots) ## Main loop: iterate through each exposures for expNumber in range(0,N_exposures): if statusBarAx != None and expNumber % 15 == 0:
