def extractLightcurveTask(clip):
time = clip['serve.time']
data = clip['serve.socData']
numInitialCadencesToIgnore = int(clip['config.numInitialCadencesToIgnore'])
flagValues = clip.get('serve.flags', data[:, 'SAP_QUALITY'])
flux = data[:, 'SAP_FLUX'].copy()
#Convert flags to a boolean, and flag other bad data
mask = kplrfits.getMaskForBadK2Data()
flags = (flagValues & mask).astype(bool)
flags |= ~np.isfinite(time)
flags |= ~np.isfinite(flux)
#flags[flux<1] = True
flags[:numInitialCadencesToIgnore] = True
#Placeholder. Use the SOC PA data for the lightcurve
out = dict()
out['rawLightcurve'] = flux
out['time'] = time
clip['extract'] = out
clip['extract.source'] = "SOC PA Pipeline"
clip['extract.flags'] = flags
#Enforce contract
clip['extract.rawLightcurve']
clip['extract.flags']
return clip
def extractLightcurveTask(clip):
time = clip['serve.time']
data = clip['serve.socData']
numInitialCadencesToIgnore = clip['config.numInitialCadencesToIgnore']
flagValues = clip.get('serve.flags', data[:, 'SAP_QUALITY'])
flux = data[:, 'SAP_FLUX'].copy()
#Convert flags to a boolean, and flag other bad data
mask = kplrfits.getMaskForBadK2Data()
flags = (flagValues & mask).astype(bool)
flags |= ~np.isfinite(time)
flags |= ~np.isfinite(flux)
#flags[flux<1] = True
flags[:numInitialCadencesToIgnore] = True
#Placeholder. Use the SOC PA data for the lightcurve
out = dict()
out['rawLightcurve'] = flux
out['time'] = time
clip['extract'] = out
clip['extract.source'] = "SOC PA Pipeline"
clip['extract.flags'] = flags
#Enforce contract
clip['extract.rawLightcurve']
clip['extract.flags']
return clip
def extractLightcurveFromTpfTask(clip):
from dave.tpf2lc.tpf2lc import optimalAperture
time = clip['serve.time']
fluxcube = clip['serve.cube']
data = clip['serve.socData']
socflux = data[:, 'SAP_FLUX']
numInitialCadencesToIgnore = clip['config.numInitialCadencesToIgnore']
flagValues = clip.get('serve.flags', data[:, 'SAP_QUALITY'])
#Convert flags to a boolean, and flag other bad data
mask = kplrfits.getMaskForBadK2Data()
flags = (flagValues & mask).astype(bool)
flags |= ~np.isfinite(time)
flags |= ~np.isfinite(socflux)
flags[socflux < 1] = True
flags[:numInitialCadencesToIgnore] = True
newtime, flux, xbar, ybar, _, _ = optimalAperture(time[~flags],
fluxcube[~flags],
flags[~flags],
qual_cut=False,
bg_cut=4)
newY = socflux.copy()
newXbar = np.zeros_like(socflux)
newYbar = np.zeros_like(socflux)
newY[~flags] = flux
newXbar[~flags] = xbar
newYbar[~flags] = ybar
#Placeholder. Use the SOC PA data for the lightcurve
out = dict()
out['rawLightcurve'] = newY
clip['extract'] = out
clip['extract.source'] = "Labeled Extraction Pipeline"
clip['extract.flags'] = flags
clip['extract.centroid_col'] = newXbar
clip['extract.centroid_row'] = newYbar
#Enforce contract
clip['extract.rawLightcurve']
clip['extract.flags']
return clip
def extractLightcurveFromTpfTask(clip):
from dave.tpf2lc.tpf2lc import optimalAperture
time = clip['serve.time']
fluxcube = clip['serve.cube']
data = clip['serve.socData']
socflux = data[:,'SAP_FLUX']
numInitialCadencesToIgnore = clip['config.numInitialCadencesToIgnore']
flagValues = clip.get('serve.flags', data[:, 'SAP_QUALITY'])
#Convert flags to a boolean, and flag other bad data
mask = kplrfits.getMaskForBadK2Data()
flags = (flagValues & mask).astype(bool)
flags |= ~np.isfinite(time)
flags |= ~np.isfinite(socflux)
flags[socflux<1] = True
flags[:numInitialCadencesToIgnore] = True
newtime, flux, xbar, ybar, _, _ = optimalAperture(time[~flags], fluxcube[~flags], flags[~flags],
qual_cut=False,
bg_cut=4)
newY = socflux.copy()
newXbar = np.zeros_like(socflux)
newYbar = np.zeros_like(socflux)
newY[~flags] = flux
newXbar[~flags] = xbar
newYbar[~flags] = ybar
#Placeholder. Use the SOC PA data for the lightcurve
out = dict()
out['rawLightcurve'] = newY
clip['extract'] = out
clip['extract.source'] = "Labeled Extraction Pipeline"
clip['extract.flags'] = flags
clip['extract.centroid_col'] = newXbar
clip['extract.centroid_row'] = newYbar
#Enforce contract
clip['extract.rawLightcurve']
clip['extract.flags']
return clip