def modshiftTask(clip):
time = clip['serve.time']
flux = clip['serve.detrendFlux'] if clip['config.detrendType'] == "tess" else clip['detrend.flux_frac']
model = clip['serve.modelFlux'] if clip['config.detrendType'] == "tess" else clip['trapFit.bestFitModel']
period_days = clip['serve.param.orbitalPeriod_days']
epoch_btjd = clip['serve.param.epoch_btjd']
#Filter out nans
idx = np.isnan(time) | np.isnan(flux) | np.isnan(model)
time = time[~idx]
flux = flux[~idx]
model = model[~idx]
tic = clip['config.tic']
basePath = clip['config.modshiftBasename']
ticStr = "%016i" %(tic)
basename = tessfunc.getOutputBasename(basePath, ticStr)
# Name that will go in title of modshift plot
objectname = "TIC %012i" % (tic)
modplotint = 1 # Change to 0 or anything besides 1 to not have modshift produce plot
plotname = "%s-%02i-%04i" % (basename, np.round(period_days*10), np.round(epoch_btjd))
out = ModShift.runModShift(time, flux, model, \
plotname, objectname, period_days, epoch_btjd, modplotint)
clip['modshift'] = out
#Enforce contract
clip['modshift.mod_Fred']
clip['modshift.mod_ph_pri']
clip['modshift.mod_secdepth']
clip['modshift.mod_sig_pri']
return clip
def modshiftTask(clip):
time = clip['serve.time']
flux = clip['detrend.flux_frac']
fl = clip['flags']
epic = clip['value']
basename = clip['config.modshiftBasename'] + "%010i" %(epic)
period_days = clip['trapFit.period_days']
epoch_bkjd = clip['trapFit.epoch_bkjd']
dur_hrs = clip['trapFit.duration_hrs']
ingress_hrs = clip['trapFit.ingress_hrs']
depth_ppm = 1e6*clip['trapFit.depth_frac']
subSampleN= 15
ioBlock = trapFit.trapezoid_model_onemodel(time[~fl], period_days, \
epoch_bkjd, depth_ppm, dur_hrs, \
ingress_hrs, subSampleN)
model = ioBlock.modellc -1 #Want mean of zero
# model *= -1 #Invert for testing
basename = "%s-%010i" %(basename, epic)
modplotint=1 # Change to 0 or anything besides 1 to not have modshift produce plot
out = ModShift.runModShift(time[~fl], flux[~fl], model, basename, \
"OBJECTNAME", period_days, epoch_bkjd, modplotint)
clip['modshift'] = out
#I don't know which values are important, so I can't enfornce contract yet
return clip
def modshiftTask(clip):
time = clip['serve.time']
flux = clip['detrend.flux_frac']
fl = clip['flags']
epic = clip['value']
basename = clip['config.modshiftBasename'] + "%010i" % (epic)
period_days = clip['trapFit.period_days']
epoch_bkjd = clip['trapFit.epoch_bkjd']
dur_hrs = clip['trapFit.duration_hrs']
ingress_hrs = clip['trapFit.ingress_hrs']
depth_ppm = 1e6 * clip['trapFit.depth_frac']
subSampleN = 15
ioBlock = trapFit.trapezoid_model_onemodel(time[~fl], period_days, \
epoch_bkjd, depth_ppm, dur_hrs, \
ingress_hrs, subSampleN)
model = ioBlock.modellc - 1 #Want mean of zero
# model *= -1 #Invert for testing
basename = "%s-%010i" % (basename, epic)
modplotint = 1 # Change to 0 or anything besides 1 to not have modshift produce plot
out = ModShift.runModShift(time[~fl], flux[~fl], model, basename, \
"OBJECTNAME", period_days, epoch_bkjd, modplotint)
clip['modshift'] = out
#I don't know which values are important, so I can't enfornce contract yet
return clip
def modshiftTask(clip):
time = clip['serve.time']
flux = clip['detrend.flux_frac']
fl = clip['detrend.flags']
period_days = clip['trapFit.period_days']
epoch_bkjd = clip['trapFit.epoch_bkjd']
detrendType = clip.config.detrendType
#dur_hrs = clip['trapFit.duration_hrs']
#ingress_hrs = clip['trapFit.ingress_hrs']
#depth_ppm = 1e6*clip['trapFit.depth_frac']
epic = clip['value']
basePath = clip['config.modshiftBasename']
epicStr = "%09i" % (epic)
basename = getOutputBasename(basePath, epicStr)
# Name that will go in title of modshift plot
objectname = "EPIC %09i" % (epic)
#
# subSampleN= 15
# ioBlock = trapFit.trapezoid_model_onemodel(time[~fl], period_days, \
# epoch_bkjd, depth_ppm, dur_hrs, \
# ingress_hrs, subSampleN)
# model = ioBlock.modellc -1 #Want mean of zero
# #model *= -1 #Invert for testing
model = clip['trapFit.bestFitModel']
modplotint = int(
1
) # Change to 0 or anything besides 1 to not have modshift produce plot
plotname = "%s-%02i-%04i-%s" % (basename, np.round(
clip.bls.period * 10), np.round(
clip.bls.epoch), clip.config.detrendType)
out = ModShift.runModShift(time[~fl], flux[~fl], model[~fl], \
plotname, objectname, period_days, epoch_bkjd, modplotint)
clip['modshift'] = out
#Enforce contract
clip['modshift.mod_Fred']
clip['modshift.mod_ph_pri']
clip['modshift.mod_secdepth']
clip['modshift.mod_sig_pri']
return clip
def modshiftTask(clip):
time = clip['serve.time']
flux = clip['detrend.flux_frac']
fl = clip['detrend.flags']
period_days = clip['trapFit.period_days']
epoch_bkjd = clip['trapFit.epoch_bkjd']
#dur_hrs = clip['trapFit.duration_hrs']
#ingress_hrs = clip['trapFit.ingress_hrs']
#depth_ppm = 1e6*clip['trapFit.depth_frac']
epic = clip['value']
basePath = clip['config.modshiftBasename']
epicStr = "%09i" %(epic)
basename = getOutputBasename(basePath, epicStr)
# Name that will go in title of modshift plot
objectname = "EPIC %09i" %(epic)
#
# subSampleN= 15
# ioBlock = trapFit.trapezoid_model_onemodel(time[~fl], period_days, \
# epoch_bkjd, depth_ppm, dur_hrs, \
# ingress_hrs, subSampleN)
# model = ioBlock.modellc -1 #Want mean of zero
# #model *= -1 #Invert for testing
model = clip['trapFit.bestFitModel']
modplotint=1 # Change to 0 or anything besides 1 to not have modshift produce plot
plotname = "%s-%02i-%04i-%s" % (basename,np.round(clip.bls.period*10),np.round(clip.bls.epoch),clip.config.detrendType)
out = ModShift.runModShift(time[~fl], flux[~fl], model[~fl], \
plotname, objectname, period_days, epoch_bkjd, modplotint)
clip['modshift'] = out
#Enforce contract
clip['modshift.mod_Fred']
clip['modshift.mod_ph_pri']
clip['modshift.mod_secdepth']
clip['modshift.mod_sig_pri']
return clip
