F99

class dust_extinction.parameter_averages.F99(*args, meta=None, name=None, **kwargs)[source]

Bases: dust_extinction.baseclasses.BaseExtRvModel

Fitzpatrick (1999) Milky Way R(V) dependent model

Parameters
Rv: float

R(V) = A(V)/E(B-V) = total-to-selective extinction

Raises
InputParameterError

Input Rv values outside of defined range

Notes

From Fitzpatrick (1999, PASP, 111, 63)

Example showing F99 curves for a range of R(V) values.

import numpy as np
import matplotlib.pyplot as plt
import astropy.units as u

from dust_extinction.parameter_averages import F99

fig, ax = plt.subplots()

# temp model to get the correct x range
text_model = F99()

# generate the curves and plot them
x = np.arange(text_model.x_range[0],
              text_model.x_range[1],0.1)/u.micron

Rvs = ['2.0','3.0','4.0','5.0','6.0']
for cur_Rv in Rvs:
   ext_model = F99(Rv=cur_Rv)
   ax.plot(x,ext_model(x),label='R(V) = ' + str(cur_Rv))

ax.set_xlabel(r'$x$ [$\mu m^{-1}$]')
ax.set_ylabel(r'$A(x)/A(V)$')

ax.legend(loc='best')
plt.show()

(Source code, png, hires.png, pdf)

../_images/dust_extinction-parameter_averages-F99-1.png

Attributes Summary

Rv_range

x_range

Methods Summary

evaluate(in_x, Rv)

F99 function

Attributes Documentation

Rv_range = [2.0, 6.0]
x_range = [0.3, 10.0]

Methods Documentation

evaluate(in_x, Rv)[source]

F99 function

Parameters
in_x: float

expects either x in units of wavelengths or frequency or assumes wavelengths in wavenumbers [1/micron]

internally wavenumbers are used

Returns
axav: np array (float)

A(x)/A(V) extinction curve [mag]

Raises
ValueError

Input x values outside of defined range