Drude1D

class astropy.modeling.physical_models.Drude1D(amplitude=1.0, x_0=1.0, fwhm=1.0, **kwargs)

Bases: astropy.modeling.Fittable1DModel

Drude model based one the behavior of electons in materials (esp. metals).

Parameters

amplitudefloat

Peak value

x_0float

Position of the peak

fwhmfloat

Full width at half maximum

Model formula:

\[f(x) = A \frac{(fwhm/x_0)^2}{((x/x_0 - x_0/x)^2 + (fwhm/x_0)^2}\]

Examples

import numpy as np
import matplotlib.pyplot as plt

from astropy.modeling.models import Drude1D

fig, ax = plt.subplots()

# generate the curves and plot them
x = np.arange(7.5 , 12.5 , 0.1)

dmodel = Drude1D(amplitude=1.0, fwhm=1.0, x_0=10.0)
ax.plot(x, dmodel(x))

ax.set_xlabel('x')
ax.set_ylabel('F(x)')

plt.show()

(png, svg, pdf)

Attributes Summary

amplitude
fwhm
input_units	This property is used to indicate what units or sets of units the evaluate method expects, and returns a dictionary mapping inputs to units (or None if any units are accepted).
param_names
return_units	This property is used to indicate what units or sets of units the output of evaluate should be in, and returns a dictionary mapping outputs to units (or None if any units are accepted).
x_0

Methods Summary

evaluate(x, amplitude, x_0, fwhm)	One dimensional Drude model function
fit_deriv(x, amplitude, x_0, fwhm)	Drude1D model function derivatives.

Attributes Documentation

amplitude = Parameter('amplitude', value=1.0)

fwhm = Parameter('fwhm', value=1.0)

input_units

param_names = ('amplitude', 'x_0', 'fwhm')

return_units

x_0 = Parameter('x_0', value=1.0)

Methods Documentation

static evaluate(x, amplitude, x_0, fwhm)

One dimensional Drude model function

static fit_deriv(x, amplitude, x_0, fwhm)

Drude1D model function derivatives.