Created
December 14, 2019 14:14
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example of my older astropy dual peak fitting class
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# Define custom two peak Gaussian model using Astropy class type. | |
class Gaussian1D_OIII(Fittable1DModel): | |
amplitude = Parameter() | |
mean = Parameter() | |
stddev = Parameter() | |
a = Parameter() | |
b = Parameter() | |
# evaluate the model. This is composued using the Fittable1DModel class from Astropy. | |
@staticmethod | |
def evaluate(x, amplitude, mean, stddev, a, b): | |
model = a + b*x + np.abs(amplitude) * np.exp(- 0.5 * (x - mean) ** 2 / (np.sqrt((stddev)**2. + 1.16**2.)) ** 2) + np.abs(amplitude)/3 * np.exp(- 0.5 * (x - (mean - 47.9399)) ** 2 / (np.sqrt((stddev)**2. + 1.16**2.)) ** 2) | |
return model | |
#%% | |
# single gaussian plotted at lambda_max position. | |
# Fit the data using a Gaussian | |
# curve fit attempt | |
g_init = Gaussian1D_OIII(amplitude=max(flux_density), mean=5045, stddev=3.0, a=0., b=0.)#, fixed={"stddev":True}) | |
fitter = fitting.LevMarLSQFitter() | |
g_fit = fitter(g_init, wavelength, flux_density, maxiter=1000000000) |
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