RL85_MWGC¶
- class dust_extinction.averages.RL85_MWGC(*args, meta=None, name=None, **kwargs)[source]¶
Bases:
BaseExtModel
Reike & Lebofsky (1985) MW Average Extinction Curve
- Parameters:
- None
- Raises:
- None
Notes
From Rieke & Lebofsky (1985, ApJ,288, 618)
Example showing the average curve
import numpy as np import matplotlib.pyplot as plt import astropy.units as u from dust_extinction.averages import RL85_MWGC fig, ax = plt.subplots() # define the extinction model ext_model = RL85_MWGC() # generate the curves and plot them x = np.arange(1.0/ext_model.x_range[1], 1.0/ext_model.x_range[0], 0.1) * u.micron ax.plot(x,ext_model(x),label='RL85_MWGC') ax.plot(1.0/ext_model.obsdata_x, ext_model.obsdata_axav, 'ko', label='obsdata') ax.set_xlabel(r'$\lambda$ [$\mu m$]') ax.set_ylabel(r'$A(x)/A(V)$') ax.legend(loc='best') plt.show()
(
Source code
,png
,hires.png
,pdf
)Attributes Summary
Methods Summary
evaluate
(in_x)RL85 MWGC function
Attributes Documentation
- Rv = 3.09¶
- obsdata_axav = array([0.027, 0.03 , 0.037, 0.047, 0.06 , 0.074, 0.083, 0.087, 0.074, 0.043, 0.02 , 0.023, 0.058, 0.112, 0.175, 0.282])¶
- obsdata_tolerance = 1e-06¶
- obsdata_x = array([0.07692308, 0.08 , 0.08333333, 0.08695652, 0.09090909, 0.0952381 , 0.1 , 0.10526316, 0.11111111, 0.11764706, 0.125 , 0.20833333, 0.28571429, 0.45045045, 0.60606061, 0.8 ])¶
- x_range = [0.07692307692307693, 0.8]¶
Methods Documentation
- evaluate(in_x)[source]¶
RL85 MWGC 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