def model_fit(self, theta, wave):
line = self.line
theta_prime=map_theta2list(theta,self.nclump,self.ntransition)
ss3, flx = r.create_model_simple(theta_prime, wave, line)
# Convolve data
fmodel = convolve(flx, self.kernel ,boundary='extend')
return fmodel, ss3
def model_flux_curvefit(self,wave,*params):
theta_temp=np.zeros((len(params),))
for i in range(0, len(params)):
theta_temp[i] = params[i]
line = self.line
theta_prime=map_theta2list(theta_temp,self.nclump,self.ntransition)
ss3, flx = r.create_model_simple(theta_prime, wave, line)
# Convolve data
fmodel = convolve(flx, self.kernel ,boundary='extend')
return fmodel
def model_unconvolved(self, theta, wave):
line = self.line
theta_prime=map_theta2list(theta,self.nclump,self.ntransition)
ss3, flx = r.create_model_simple(theta_prime, wave, line)
return flx