def scaleFluxes(self):
'''
When all fluxes have been collected, run this to re-scale the fluxes of each
comparison star to the flux of the target star. Do the same transformation on the errors.
'''
for star in self.allStarsDict:
if star != self.targetKey:
self.allStarsDict[star]['scaledFlux'], m = mathMethods.regressionScale(self.getFluxes(star),self.getFluxes(self.targetKey),self.getTimes(),self.ingress,self.egress,returncoeffs=True)
print m
self.allStarsDict[star]['scaledError'] = np.abs(m)*self.getErrors(star)
if star == self.targetKey: ## (Keep the target star the same)
self.allStarsDict[star]['scaledFlux'] = self.allStarsDict[star]['rawFlux']
self.allStarsDict[star]['scaledError'] = self.allStarsDict[star]['rawError']
def scaleFluxes(self):
'''
When all fluxes have been collected, run this to re-scale the fluxes of each
comparison star to the flux of the target star. Do the same transformation on the errors.
'''
for star in self.allStarsDict:
if star != self.targetKey:
self.allStarsDict[star]['scaledFlux'], m = mathMethods.regressionScale(self.getFluxes(star),self.getFluxes(self.targetKey),self.getTimes(),self.ingress,self.egress,returncoeffs=True)
print m
self.allStarsDict[star]['scaledError'] = np.abs(m)*self.getErrors(star)
if star == self.targetKey: ## (Keep the target star the same)
self.allStarsDict[star]['scaledFlux'] = self.allStarsDict[star]['rawFlux']
self.allStarsDict[star]['scaledError'] = self.allStarsDict[star]['rawError']
def scaleFluxes_multirad(self):
'''
When all fluxes have been collected, run this to re-scale the fluxes of each
comparison star to the flux of the target star. Do the same transformation on the errors.
'''
for star in self.allStarsDict:
for apertureRadiusIndex in range(len(self.apertureRadii)):
if star != self.targetKey:
print self.getFluxes_multirad(star,apertureRadiusIndex)[0]
self.allStarsDict[star]['scaledFlux'][apertureRadiusIndex], m = mathMethods.regressionScale(self.getFluxes_multirad(star,apertureRadiusIndex),self.getFluxes_multirad(self.targetKey,apertureRadiusIndex),self.getTimes(),self.ingress,self.egress,returncoeffs=True)
#print m
self.allStarsDict[star]['scaledError'][apertureRadiusIndex] = np.abs(m)*self.getErrors_multirad(star,apertureRadiusIndex)
if star == self.targetKey: ## (Keep the target star the same)
self.allStarsDict[star]['scaledFlux'][apertureRadiusIndex] = self.allStarsDict[star]['rawFlux'][apertureRadiusIndex]
self.allStarsDict[star]['scaledError'][apertureRadiusIndex] = self.allStarsDict[star]['rawError'][apertureRadiusIndex]
def scaleFluxes_multirad(self):
'''
When all fluxes have been collected, run this to re-scale the fluxes of each
comparison star to the flux of the target star. Do the same transformation on the errors.
'''
for star in self.allStarsDict:
for apertureRadiusIndex in range(len(self.apertureRadii)):
if star != self.targetKey:
print self.getFluxes_multirad(star,apertureRadiusIndex)[0]
self.allStarsDict[star]['scaledFlux'][apertureRadiusIndex], m = mathMethods.regressionScale(self.getFluxes_multirad(star,apertureRadiusIndex),self.getFluxes_multirad(self.targetKey,apertureRadiusIndex),self.getTimes(),self.ingress,self.egress,returncoeffs=True)
#print m
self.allStarsDict[star]['scaledError'][apertureRadiusIndex] = np.abs(m)*self.getErrors_multirad(star,apertureRadiusIndex)
if star == self.targetKey: ## (Keep the target star the same)
self.allStarsDict[star]['scaledFlux'][apertureRadiusIndex] = self.allStarsDict[star]['rawFlux'][apertureRadiusIndex]
self.allStarsDict[star]['scaledError'][apertureRadiusIndex] = self.allStarsDict[star]['rawError'][apertureRadiusIndex]
