Repository: karllark/dust_extinction

Issue:
Add in Jones THEMIS model(s)

Discussion:

Patch:
diff --git a/docs/dust_extinction/choose_model.rst b/docs/dust_extinction/choose_model.rst
index 01044c4..5bc9968 100644
--- a/docs/dust_extinction/choose_model.rst
+++ b/docs/dust_extinction/choose_model.rst
@@ -114,26 +114,6 @@ feature in the near UV caused by smoothly tying their optical to the
 optical portions of the :class:`~dust_extinction.parameter_averages.M14`
 models are provided here.
 
-Shape Models
-============
-
-The models that focus on describing the full extinction curve shape are usually
-used to fit measured extinction curves.  These models allow features in the
-extinction curve to be measured (e.g., 2175 A bump or 10 micron silicate
-feature).  The :class:`~dust_extinction.shapes.P92` is the most
-general as it covers the a very broad wavelength range.  The
-:class:`~dust_extinction.shapes.FM90` model has been extensively used,
-but only covers the UV wavelength range.
-
-+------------+--------------+------------------+-------------------+
-| Model      | x range      | wavelength range | # of parameters   |
-|            | [1/micron]   | [micron]         |                   |
-+============+==============+==================+===================+
-| FM90       | 3.13 - 11.0  |    0.0912 - 0.32 |  6                |
-+------------+--------------+------------------+-------------------+
-| P92        | 0.001 - 1000 |     0.001 - 1000 |  19 (24 possible) |
-+------------+--------------+------------------+-------------------+
-
 Grain Models
 ============
 
@@ -148,6 +128,8 @@ observationally (e.g., in the extreme UV below 912 A).
 | Model        |    x range     | wavelength range |       galaxy |
 |              |    [1/micron]  | [micron]         |              |
 +==============+================+==================+==============+
+| DBP90 MWRV31 | 0.00001 - 10.9 |  0.0918 - 100000 |  MW R(V)=3.1 |
++--------------+----------------+------------------+--------------+
 | WD01 MWRV31  |   0.0001 - 100 |     0.01 - 10000 |  MW R(V)=3.1 |
 +--------------+----------------+------------------+--------------+
 | WD01 MWRV40  |   0.0001 - 100 |     0.01 - 10000 |  MW R(V)=4.0 |
@@ -166,5 +148,29 @@ observationally (e.g., in the extreme UV below 912 A).
 +--------------+----------------+------------------+--------------+
 | D03 MWRV55   | 0.0001 - 10000 |   0.0001 - 10000 |  MW R(V)=5.5 |
 +--------------+----------------+------------------+--------------+
-| ZDA04 MWRV31 |  0.0001 - 1000 |    0.001 - 10000 |           MW |
+| ZDA04 MWRV31 |  0.0001 - 1000 |    0.001 - 10000 |  MW R(V)=3.1 |
++--------------+----------------+------------------+--------------+
+|   C11 MWRV31 |   0.00001 - 25 |    0.04 - 100000 |  MW R(V)=3.1 |
 +--------------+----------------+------------------+--------------+
+|   J13 MWRV31 |   0.00001 - 25 |    0.04 - 100000 |  MW R(V)=3.1 |
++--------------+----------------+------------------+--------------+
+
+Shape Models
+============
+
+The models that focus on describing the full extinction curve shape are usually
+used to fit measured extinction curves.  These models allow features in the
+extinction curve to be measured (e.g., 2175 A bump or 10 micron silicate
+feature).  The :class:`~dust_extinction.shapes.P92` is the most
+general as it covers the a very broad wavelength range.  The
+:class:`~dust_extinction.shapes.FM90` model has been extensively used,
+but only covers the UV wavelength range.
+
++------------+--------------+------------------+-------------------+
+| Model      | x range      | wavelength range | # of parameters   |
+|            | [1/micron]   | [micron]         |                   |
++============+==============+==================+===================+
+| FM90       | 3.13 - 11.0  |    0.0912 - 0.32 |  6                |
++------------+--------------+------------------+-------------------+
+| P92        | 0.001 - 1000 |     0.001 - 1000 |  19 (24 possible) |
++------------+--------------+------------------+-------------------+
diff --git a/docs/dust_extinction/model_flavors.rst b/docs/dust_extinction/model_flavors.rst
index d2e9148..ce0f905 100644
--- a/docs/dust_extinction/model_flavors.rst
+++ b/docs/dust_extinction/model_flavors.rst
@@ -106,7 +106,7 @@ R(V) (+ other variables) dependent prediction models
    These models are based on the average
    behavior of extinction in the Milky Way as a function of R(V).
    The M14 model refines the optical portion of the CCM89 model
-   (Ma\’{\i}z Apell\’aniz et al. 2014), was developed for the LMC but
+   (Maiz Apellaniz et al. 2014), was developed for the LMC but
    has been shown valid elsewhere in the Milky Way.
 
    In addition, the (R(V), f_A) two parameter relationship from
@@ -297,20 +297,24 @@ Grain models
    import matplotlib.pyplot as plt
    import astropy.units as u
 
-   from dust_extinction.grain_models import WD01, D03, ZDA04
+   from dust_extinction.grain_models import DBP90, WD01, D03, ZDA04, C11, J13
 
    fig, ax = plt.subplots()
 
    # generate the curves and plot them
-   lam = np.logspace(-4.0, 4.0, num=1000)
+   lam = np.logspace(-4.0, 5.0, num=1000)
    x = (1.0 / lam) / u.micron
 
-   models = [WD01, WD01, WD01,
+   models = [DBP90,
+             WD01, WD01, WD01,
              D03, D03, D03,
-             ZDA04]
-   modelnames = ["MWRV31", "MWRV40", "MWRV55",
+             ZDA04,
+             C11, J13]
+   modelnames = ["MWRV31",
                  "MWRV31", "MWRV40", "MWRV55",
-                 "BARE-GR-S"]
+                 "MWRV31", "MWRV40", "MWRV55",
+                 "BARE-GR-S",
+                 "MWRV31", "MWRV31"]
 
    for cmodel, cname in zip(models, modelnames):
       ext_model = cmodel(cname)
@@ -335,6 +339,53 @@ Grain models
    plt.show()
 
 
+.. plot::
+
+   import numpy as np
+   import matplotlib.pyplot as plt
+   import astropy.units as u
+
+   from dust_extinction.grain_models import DBP90, WD01, D03, ZDA04, C11, J13
+
+   fig, ax = plt.subplots()
+
+   # generate the curves and plot them
+   lam = np.logspace(np.log10(0.0912), np.log10(50.), num=1000)
+   x = (1.0 / lam) / u.micron
+
+   models = [DBP90,
+             WD01, WD01, WD01,
+             D03, D03, D03,
+             ZDA04,
+             C11, J13]
+   modelnames = ["MWRV31",
+                 "MWRV31", "MWRV40", "MWRV55",
+                 "MWRV31", "MWRV40", "MWRV55",
+                 "BARE-GR-S",
+                 "MWRV31", "MWRV31"]
+
+   for cmodel, cname in zip(models, modelnames):
+      ext_model = cmodel(cname)
+
+      indxs, = np.where(np.logical_and(
+         x.value >= ext_model.x_range[0],
+         x.value <= ext_model.x_range[1]))
+      yvals = ext_model(x[indxs])
+      ax.plot(lam[indxs], yvals, label=f"{ext_model.__class__.__name__}  {cname}")
+
+   ax.set_xlabel('$\lambda$ [$\mu m$]')
+   ax.set_ylabel('$A(x)/A(V)$')
+   ax.set_title('Grain Models')
+
+   ax.set_xscale('log')
+   ax.set_yscale('log')
+
+   ax.set_title('Milky Way - Ultraviolet to Mid-Infrared')
+
+   ax.legend(loc='best')
+   plt.tight_layout()
+   plt.show()
+
 .. plot::
 
   import numpy as np
diff --git a/docs/dust_extinction/references.rst b/docs/dust_extinction/references.rst
index 0eb0681..f31e4c2 100644
--- a/docs/dust_extinction/references.rst
+++ b/docs/dust_extinction/references.rst
@@ -2,6 +2,9 @@
 References
 ##########
 
+C11: `Compiegne et al. 2011, A&A, 525, 103
+<https://ui.adsabs.harvard.edu/abs/2011A%26A...525A.103C/abstract>`_
+
 CCM89: `Cardelli, Clayton, & Mathis 1989, ApJ, 345, 245
 <https://ui.adsabs.harvard.edu/abs/1989ApJ...345..245C>`_
 
@@ -13,6 +16,9 @@ D03: `Draine 2003, ARA&A, 41, 241
 `Draine 2003, ApJ, 598, 1017
 <https://ui.adsabs.harvard.edu/abs/2003ApJ...598.1017D/abstract>`_
 
+DBP90: `Desert, Boulanger, & Puget 1990, A&A, 237, 215
+<https://ui.adsabs.harvard.edu/abs/1990A%26A...237..215D/abstract>`_
+
 F99: `Fitzpatrick 1999, PASP, 111, 63
 <https://ui.adsabs.harvard.edu/abs/1999PASP..111...63F>`_
 
@@ -43,6 +49,12 @@ G16: `Gordon et al. 2016, 826, 104
 I05: `Indebetouw et al. 2005, ApJ, 619, 931
 <https://ui.adsabs.harvard.edu/abs/2005ApJ...619..931I>`_
 
+J13: `Jones et al. 2013, A&A, 558, 62
+<https://ui.adsabs.harvard.edu/abs/2013A%26A...558A..62J/abstract>`_
+
+KJY14: `Kohler, Jones, & Ysard 2014, A&A, 565, 9
+<https://ui.adsabs.harvard.edu/abs/2014A%26A...565L...9K/abstract>`_
+
 M14: `Maiz Apell\’aniz et al. 2014, A&A, 564, 63
 <https://ui.adsabs.harvard.edu/abs/2014A%26A...564A..63M>`_
 
diff --git a/dust_extinction/data/EXT_C11.RES.dat b/dust_extinction/data/EXT_C11.RES.dat
new file mode 100644
index 0000000..21f7984
--- /dev/null
+++ b/dust_extinction/data/EXT_C11.RES.dat
@@ -0,0 +1,808 @@
+# DUSTEM extinction cross-section for NH=10^21 H/cm2 : sigma (x 1e-21) [cm2/H]
+# 
+# Grain types 
+# nr of grain types - nr of lambda
+# lambda (microns)   ABS(1) ... ABS(ntype)  SCA(1) ... SCA(ntype)  EXT(Total)
+# 
+# PAH0_MC10 PAH1_MC10 amCBEx amCBEx aSilx
+ 5   800
+  4.000000E-002  1.595530E-001  1.083874E-001  1.365769E-003  9.256767E-003  4.612546E-001  0.000000E+000  0.000000E+000  1.952337E-004  1.185267E-001  2.852696E-001  1.143809E+000
+  4.065700E-002  1.634976E-001  1.110671E-001  3.931894E-003  2.251101E-002  4.645234E-001  0.000000E+000  0.000000E+000  1.849660E-004  1.038175E-001  2.871749E-001  1.156708E+000
+  4.132500E-002  1.675110E-001  1.137934E-001  6.456549E-003  3.214643E-002  4.679367E-001  0.000000E+000  0.000000E+000  1.768396E-004  9.310709E-002  2.891080E-001  1.170236E+000
+  4.200400E-002  1.715964E-001  1.165687E-001  8.940981E-003  3.956286E-002  4.744450E-001  0.000000E+000  0.000000E+000  1.706168E-004  8.502131E-002  2.923329E-001  1.188639E+000
+  4.269400E-002  1.792374E-001  1.217594E-001  1.138591E-002  4.552792E-002  4.812016E-001  0.000000E+000  0.000000E+000  1.660866E-004  7.878391E-002  2.957082E-001  1.213770E+000
+  4.339500E-002  1.878476E-001  1.276085E-001  1.379236E-002  5.049045E-002  4.877849E-001  0.000000E+000  0.000000E+000  1.630534E-004  7.392085E-002  2.975265E-001  1.239134E+000
+  4.410800E-002  1.968253E-001  1.337072E-001  1.616131E-002  5.472850E-002  4.944628E-001  0.000000E+000  0.000000E+000  1.613353E-004  7.011755E-002  2.993624E-001  1.265526E+000
+  4.483200E-002  2.071685E-001  1.407335E-001  1.849367E-002  5.842361E-002  5.005982E-001  0.000000E+000  0.000000E+000  1.607674E-004  6.714678E-002  3.006996E-001  1.293425E+000
+  4.556900E-002  2.197790E-001  1.493001E-001  2.079024E-002  6.169872E-002  5.066253E-001  0.000000E+000  0.000000E+000  1.612022E-004  6.484337E-002  3.019801E-001  1.325178E+000
+  4.631700E-002  2.332765E-001  1.584691E-001  2.305212E-002  6.464031E-002  5.123165E-001  0.000000E+000  0.000000E+000  1.625023E-004  6.307956E-002  3.031107E-001  1.358107E+000
+  4.707800E-002  2.477482E-001  1.683000E-001  2.527989E-002  6.731178E-002  5.177117E-001  0.000000E+000  0.000000E+000  1.645425E-004  6.175232E-002  3.041086E-001  1.392377E+000
+  4.785100E-002  2.633524E-001  1.789003E-001  2.747461E-002  6.975969E-002  5.230303E-001  0.000000E+000  0.000000E+000  1.672067E-004  6.078365E-002  3.051562E-001  1.428624E+000
+  4.863700E-002  2.802896E-001  1.904061E-001  2.963682E-002  7.202020E-002  5.278628E-001  0.000000E+000  0.000000E+000  1.703940E-004  6.010491E-002  3.060335E-001  1.466524E+000
+  4.943600E-002  2.988280E-001  2.029996E-001  3.176756E-002  7.412150E-002  5.327795E-001  0.000000E+000  0.000000E+000  1.740149E-004  5.966615E-002  3.070120E-001  1.507348E+000
+  5.024800E-002  3.179687E-001  2.160022E-001  3.386705E-002  7.608596E-002  5.372236E-001  0.000000E+000  0.000000E+000  1.779806E-004  5.942329E-002  3.080425E-001  1.548791E+000
+  5.107300E-002  3.369199E-001  2.288761E-001  3.593709E-002  7.793178E-002  5.416131E-001  0.000000E+000  0.000000E+000  1.822172E-004  5.934050E-002  3.091262E-001  1.589927E+000
+  5.191200E-002  3.577672E-001  2.430380E-001  3.797803E-002  7.967421E-002  5.459145E-001  0.000000E+000  0.000000E+000  1.866570E-004  5.938828E-002  3.104322E-001  1.634379E+000
+  5.276500E-002  3.806293E-001  2.585687E-001  3.999029E-002  8.132531E-002  5.498942E-001  0.000000E+000  0.000000E+000  1.912376E-004  5.954258E-002  3.121473E-001  1.682289E+000
+  5.363200E-002  4.030064E-001  2.737700E-001  4.197483E-002  8.289567E-002  5.539756E-001  0.000000E+000  0.000000E+000  1.959095E-004  5.978502E-002  3.139003E-001  1.729504E+000
+  5.451300E-002  4.269396E-001  2.900282E-001  4.393245E-002  8.439407E-002  5.587242E-001  0.000000E+000  0.000000E+000  2.006187E-004  6.009880E-002  3.169762E-001  1.781294E+000
+  5.540800E-002  4.533990E-001  3.080026E-001  4.586310E-002  8.582841E-002  5.638861E-001  0.000000E+000  0.000000E+000  2.053265E-004  6.047048E-002  3.206933E-001  1.838348E+000
+  5.631800E-002  4.813618E-001  3.269983E-001  4.776911E-002  8.720515E-002  5.693463E-001  0.000000E+000  0.000000E+000  2.099943E-004  6.088939E-002  3.245355E-001  1.898316E+000
+  5.724300E-002  5.098697E-001  3.463641E-001  4.964924E-002  8.852985E-002  5.787508E-001  0.000000E+000  0.000000E+000  2.145902E-004  6.134660E-002  3.306593E-001  1.965384E+000
+  5.818400E-002  5.674391E-001  3.854722E-001  5.150704E-002  8.980748E-002  5.888374E-001  0.000000E+000  0.000000E+000  2.190841E-004  6.183399E-002  3.372050E-001  2.082321E+000
+  5.913900E-002  6.382703E-001  4.335892E-001  5.306714E-002  9.092302E-002  5.998764E-001  0.000000E+000  0.000000E+000  2.211613E-004  6.217914E-002  3.439635E-001  2.222090E+000
+  6.011100E-002  7.079852E-001  4.809478E-001  5.407235E-002  9.178042E-002  6.147485E-001  0.000000E+000  0.000000E+000  2.187582E-004  6.222174E-002  3.507429E-001  2.362718E+000
+  6.109800E-002  7.765982E-001  5.275581E-001  5.506533E-002  9.262608E-002  6.302602E-001  0.000000E+000  0.000000E+000  2.164465E-004  6.229496E-002  3.580937E-001  2.502713E+000
+  6.210200E-002  8.441525E-001  5.734488E-001  5.604319E-002  9.346056E-002  6.463666E-001  0.000000E+000  0.000000E+000  2.142141E-004  6.239444E-002  3.657301E-001  2.641810E+000
+  6.312200E-002  9.106322E-001  6.186098E-001  5.700730E-002  9.428514E-002  6.628425E-001  0.000000E+000  0.000000E+000  2.120500E-004  6.251911E-002  3.711879E-001  2.777296E+000
+  6.415900E-002  9.760920E-001  6.630778E-001  5.795258E-002  9.509617E-002  6.796085E-001  0.000000E+000  0.000000E+000  2.098996E-004  6.266359E-002  3.773033E-001  2.912004E+000
+  6.521300E-002  1.040516E+000  7.068420E-001  5.851510E-002  9.566589E-002  6.966162E-001  0.000000E+000  0.000000E+000  2.057856E-004  6.270531E-002  3.840615E-001  3.045127E+000
+  6.628400E-002  1.103962E+000  7.499422E-001  5.907011E-002  9.623393E-002  7.118440E-001  0.000000E+000  0.000000E+000  2.017721E-004  6.275789E-002  3.882432E-001  3.172255E+000
+  6.737200E-002  1.163133E+000  7.901385E-001  5.961776E-002  9.680046E-002  7.267672E-001  0.000000E+000  0.000000E+000  1.978484E-004  6.282342E-002  3.928509E-001  3.292329E+000
+  6.847900E-002  1.230010E+000  8.355694E-001  6.015695E-002  9.736605E-002  7.414132E-001  0.000000E+000  0.000000E+000  1.940130E-004  6.289853E-002  3.980021E-001  3.425610E+000
+  6.960400E-002  1.294329E+000  8.792625E-001  6.068986E-002  9.793071E-002  7.537443E-001  0.000000E+000  0.000000E+000  1.902586E-004  6.298382E-002  4.015546E-001  3.550685E+000
+  7.074700E-002  1.342550E+000  9.120195E-001  6.119622E-002  9.848875E-002  7.643233E-001  0.000000E+000  0.000000E+000  1.864557E-004  6.306659E-002  4.043954E-001  3.646226E+000
+  7.190900E-002  1.359844E+000  9.237680E-001  6.168730E-002  9.904384E-002  7.740976E-001  0.000000E+000  0.000000E+000  1.826741E-004  6.315304E-002  4.076677E-001  3.689444E+000
+  7.309100E-002  1.337714E+000  9.087344E-001  6.217105E-002  9.959963E-002  7.824390E-001  0.000000E+000  0.000000E+000  1.789759E-004  6.324868E-002  4.108299E-001  3.664916E+000
+  7.429100E-002  1.279203E+000  8.689868E-001  6.264862E-002  1.001541E-001  7.867386E-001  0.000000E+000  0.000000E+000  1.753575E-004  6.335167E-002  4.115775E-001  3.572835E+000
+  7.551100E-002  1.196878E+000  8.130618E-001  6.312039E-002  1.007108E-001  7.899866E-001  0.000000E+000  0.000000E+000  1.718160E-004  6.346299E-002  4.126833E-001  3.440075E+000
+  7.675200E-002  1.105775E+000  7.511744E-001  6.359013E-002  1.012801E-001  7.922545E-001  0.000000E+000  0.000000E+000  1.683395E-004  6.357923E-002  4.141906E-001  3.292013E+000
+  7.801200E-002  1.017048E+000  6.909002E-001  6.406773E-002  1.018786E-001  7.906991E-001  0.000000E+000  0.000000E+000  1.649303E-004  6.369723E-002  4.135001E-001  3.141956E+000
+  7.929400E-002  9.366216E-001  6.362649E-001  6.453794E-002  1.024776E-001  7.843971E-001  0.000000E+000  0.000000E+000  1.615966E-004  6.382474E-002  4.097591E-001  2.998045E+000
+  8.059600E-002  8.664669E-001  5.886073E-001  6.500145E-002  1.030762E-001  7.775923E-001  0.000000E+000  0.000000E+000  1.583388E-004  6.396115E-002  4.067853E-001  2.871649E+000
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+  2.438600E+003  8.181677E-007  5.276620E-007  7.584727E-008  6.669932E-007  4.595522E-007  0.000000E+000  0.000000E+000  5.811088E-021  1.150847E-014  2.908985E-014  2.548222E-006
+  2.594300E+003  7.970235E-007  5.121886E-007  6.889189E-008  6.058262E-007  4.032231E-007  0.000000E+000  0.000000E+000  4.539815E-021  8.990805E-015  2.275062E-014  2.387153E-006
+  2.759900E+003  7.752135E-007  4.963462E-007  6.257369E-008  5.502710E-007  3.538079E-007  0.000000E+000  0.000000E+000  3.546615E-021  7.023763E-015  1.779350E-014  2.238212E-006
+  2.936200E+003  7.528004E-007  4.802043E-007  5.683672E-008  4.998120E-007  3.104197E-007  0.000000E+000  0.000000E+000  2.770674E-021  5.487136E-015  1.391441E-014  2.100073E-006
+  3.123600E+003  7.298199E-007  4.637833E-007  5.162390E-008  4.539793E-007  2.723823E-007  0.000000E+000  0.000000E+000  2.164528E-021  4.286704E-015  1.088294E-014  1.971589E-006
+  3.323100E+003  7.063435E-007  4.471441E-007  4.689021E-008  4.123506E-007  2.389852E-007  0.000000E+000  0.000000E+000  1.690992E-021  3.348907E-015  8.510626E-015  1.851714E-006
+  3.535300E+003  6.824565E-007  4.303077E-007  4.259015E-008  3.745377E-007  2.096890E-007  0.000000E+000  0.000000E+000  1.321052E-021  2.616251E-015  6.655669E-015  1.739581E-006
+  3.761000E+003  6.582170E-007  4.133350E-007  3.868420E-008  3.401888E-007  1.839879E-007  0.000000E+000  0.000000E+000  1.032052E-021  2.043867E-015  5.205290E-015  1.634413E-006
+  4.001200E+003  6.336846E-007  3.962807E-007  3.513736E-008  3.089961E-007  1.614310E-007  0.000000E+000  0.000000E+000  8.062572E-022  1.596731E-015  4.070611E-015  1.535530E-006
+  4.256600E+003  6.089201E-007  3.791794E-007  3.191526E-008  2.806595E-007  1.416476E-007  0.000000E+000  0.000000E+000  6.298663E-022  1.247406E-015  3.183741E-015  1.442322E-006
+  4.528400E+003  5.840137E-007  3.620894E-007  2.898850E-008  2.549232E-007  1.242835E-007  0.000000E+000  0.000000E+000  4.920709E-022  9.745190E-016  2.489899E-015  1.354298E-006
+  4.817600E+003  5.590287E-007  3.450396E-007  2.633024E-008  2.315468E-007  1.090454E-007  0.000000E+000  0.000000E+000  3.844193E-022  7.613145E-016  1.947155E-015  1.270991E-006
+  5.125200E+003  5.340266E-007  3.281038E-007  2.391566E-008  2.103118E-007  9.567870E-008  0.000000E+000  0.000000E+000  3.003158E-022  5.947542E-016  1.522807E-015  1.192037E-006
+  5.452400E+003  5.091050E-007  3.113130E-007  2.172257E-008  1.910260E-007  8.395246E-008  0.000000E+000  0.000000E+000  2.346152E-022  4.646448E-016  1.190969E-015  1.117119E-006
+  5.800600E+003  4.843060E-007  2.947231E-007  1.973059E-008  1.735098E-007  7.365920E-008  0.000000E+000  0.000000E+000  1.832884E-022  3.629914E-016  9.313738E-016  1.045929E-006
+  6.171000E+003  4.597056E-007  2.783795E-007  1.792122E-008  1.575997E-007  6.462965E-008  0.000000E+000  0.000000E+000  1.431905E-022  2.835786E-016  7.283875E-016  9.782356E-007
+  6.565000E+003  4.353933E-007  2.623387E-007  1.627786E-008  1.431461E-007  5.670780E-008  0.000000E+000  0.000000E+000  1.118638E-022  2.215383E-016  5.696489E-016  9.138638E-007
+  6.984200E+003  4.114366E-007  2.466341E-007  1.478520E-008  1.300206E-007  4.975613E-008  0.000000E+000  0.000000E+000  8.739153E-023  1.730724E-016  4.455005E-016  8.526326E-007
+  7.430100E+003  3.878888E-007  2.313289E-007  1.342933E-008  1.180970E-007  4.365772E-008  0.000000E+000  0.000000E+000  6.827292E-023  1.352073E-016  3.484149E-016  7.944017E-007
+  7.904600E+003  3.648423E-007  2.164461E-007  1.219786E-008  1.072675E-007  3.830528E-008  0.000000E+000  0.000000E+000  5.333619E-023  1.056290E-016  2.724723E-016  7.390591E-007
+  8.409300E+003  3.423369E-007  2.020360E-007  1.107935E-008  9.743136E-008  3.361003E-008  0.000000E+000  0.000000E+000  4.166774E-023  8.251959E-017  2.130929E-016  6.864936E-007
+  8.946200E+003  3.204663E-007  1.881283E-007  1.006330E-008  8.849597E-008  2.949029E-008  0.000000E+000  0.000000E+000  3.255166E-023  6.446639E-017  1.666558E-016  6.366441E-007
+  9.517400E+003  2.992551E-007  1.747614E-007  9.140503E-009  8.038078E-008  2.587532E-008  0.000000E+000  0.000000E+000  2.543014E-023  5.036273E-017  1.303345E-016  5.894131E-007
+  1.012500E+004  2.787824E-007  1.619619E-007  8.302423E-009  7.301022E-008  2.270397E-008  0.000000E+000  0.000000E+000  1.986688E-023  3.934479E-017  1.019348E-016  5.447608E-007
+  1.077200E+004  2.590920E-007  1.497443E-007  7.540958E-009  6.631520E-008  1.991895E-008  0.000000E+000  0.000000E+000  1.552046E-023  3.073735E-017  7.970445E-017  5.026113E-007
+  1.145900E+004  2.402166E-007  1.381281E-007  6.849427E-009  6.023347E-008  1.747990E-008  0.000000E+000  0.000000E+000  1.212509E-023  2.401277E-017  6.235111E-017  4.629075E-007
+  1.219100E+004  2.221901E-007  1.271234E-007  6.221349E-009  5.470977E-008  1.533624E-008  0.000000E+000  0.000000E+000  9.472442E-024  1.875950E-017  4.875754E-017  4.255809E-007
+  1.297000E+004  2.050385E-007  1.167348E-007  5.650867E-009  4.969343E-008  1.345499E-008  0.000000E+000  0.000000E+000  7.400075E-024  1.465550E-017  3.812414E-017  3.905726E-007
+  1.379800E+004  1.887816E-007  1.069609E-007  5.132664E-009  4.513646E-008  1.180598E-008  0.000000E+000  0.000000E+000  5.781253E-024  1.144913E-017  2.981712E-017  3.578176E-007
+  1.467900E+004  1.734202E-007  9.780029E-008  4.662043E-009  4.099719E-008  1.035878E-008  0.000000E+000  0.000000E+000  4.516381E-024  8.944369E-018  2.331879E-017  3.272385E-007
+  1.561600E+004  1.589624E-007  8.924120E-008  4.234482E-009  3.723784E-008  9.089324E-009  0.000000E+000  0.000000E+000  3.528330E-024  6.987611E-018  1.823793E-017  2.987653E-007
+  1.661300E+004  1.454009E-007  8.126853E-008  3.846162E-009  3.382299E-008  7.975263E-009  0.000000E+000  0.000000E+000  2.756412E-024  5.458875E-018  1.426357E-017  2.723139E-007
+  1.767400E+004  1.327189E-007  7.386616E-008  3.493494E-009  3.072132E-008  6.997448E-009  0.000000E+000  0.000000E+000  2.153393E-024  4.264656E-018  1.115445E-017  2.477973E-007
+  1.880200E+004  1.209036E-007  6.701774E-008  3.173116E-009  2.790427E-008  6.140003E-009  0.000000E+000  0.000000E+000  1.682306E-024  3.331655E-018  8.724472E-018  2.251387E-007
+  2.000300E+004  1.099301E-007  6.069580E-008  2.882132E-009  2.534534E-008  5.387094E-009  0.000000E+000  0.000000E+000  1.314234E-024  2.602758E-018  6.822365E-018  2.042405E-007
+  2.128000E+004  9.976471E-008  5.487848E-008  2.617847E-009  2.302124E-008  4.726847E-009  0.000000E+000  0.000000E+000  1.026718E-024  2.033353E-018  5.335728E-018  1.850091E-007
+  2.263900E+004  9.037997E-008  4.953994E-008  2.377795E-009  2.091006E-008  4.147309E-009  0.000000E+000  0.000000E+000  8.021081E-025  1.588521E-018  4.172695E-018  1.673551E-007
+  2.408400E+004  8.174042E-008  4.465385E-008  2.159737E-009  1.899260E-008  3.639122E-009  0.000000E+000  0.000000E+000  6.266276E-025  1.240985E-018  3.263636E-018  1.511857E-007
+  2.562200E+004  7.380766E-008  4.019222E-008  1.961686E-009  1.725098E-008  3.192976E-009  0.000000E+000  0.000000E+000  4.895339E-025  9.694862E-019  2.552262E-018  1.364055E-007
+  2.725800E+004  6.654361E-008  3.612753E-008  1.781803E-009  1.566910E-008  2.801581E-009  0.000000E+000  0.000000E+000  3.824412E-025  7.573980E-019  1.996037E-018  1.229236E-007
+  2.899900E+004  5.990729E-008  3.243330E-008  1.618408E-009  1.423222E-008  2.458058E-009  0.000000E+000  0.000000E+000  2.987726E-025  5.916918E-019  1.560888E-018  1.106493E-007
+  3.085000E+004  5.386012E-008  2.908194E-008  1.469999E-009  1.292704E-008  2.156832E-009  0.000000E+000  0.000000E+000  2.334109E-025  4.622474E-019  1.220822E-018  9.949593E-008
+  3.282000E+004  4.836113E-008  2.604837E-008  1.335195E-009  1.174166E-008  1.892427E-009  0.000000E+000  0.000000E+000  1.823458E-025  3.611204E-019  9.547315E-019  8.937878E-008
+  3.491600E+004  4.337173E-008  2.330604E-008  1.212762E-009  1.066493E-008  1.660416E-009  0.000000E+000  0.000000E+000  1.424536E-025  2.821170E-019  7.466233E-019  8.021587E-008
+  3.714500E+004  3.885352E-008  2.083293E-008  1.101545E-009  9.686980E-009  1.456908E-009  0.000000E+000  0.000000E+000  1.112874E-025  2.204010E-019  5.839351E-019  7.193188E-008
+  3.951700E+004  3.476845E-008  1.860485E-008  1.000533E-009  8.798601E-009  1.278298E-009  0.000000E+000  0.000000E+000  8.694101E-026  1.721814E-019  4.566645E-019  6.445073E-008
+  4.204000E+004  3.108321E-008  1.660087E-008  9.087807E-010  7.991867E-009  1.121616E-009  0.000000E+000  0.000000E+000  6.792072E-026  1.345134E-019  3.571481E-019  5.770634E-008
+  4.472500E+004  2.776152E-008  1.480091E-008  8.254568E-010  7.258851E-009  9.840972E-010  0.000000E+000  0.000000E+000  5.306201E-026  1.050840E-019  2.792947E-019  5.163084E-008
+  4.758000E+004  2.477420E-008  1.318645E-008  7.497490E-010  6.593330E-009  8.634909E-010  0.000000E+000  0.000000E+000  4.145307E-026  8.209483E-020  2.184400E-019  4.616722E-008
+  5.061800E+004  2.209025E-008  1.173975E-008  6.810094E-010  5.988658E-009  7.576488E-010  0.000000E+000  0.000000E+000  3.238455E-026  6.413483E-020  1.708347E-019  4.125732E-008
+  5.385000E+004  1.968245E-008  1.044516E-008  6.185506E-010  5.439496E-009  6.647745E-010  0.000000E+000  0.000000E+000  2.529923E-026  5.010350E-020  1.336026E-019  3.685044E-008
+  5.728900E+004  1.752455E-008  9.287771E-009  5.618277E-010  4.940716E-009  5.832703E-010  0.000000E+000  0.000000E+000  1.976475E-026  3.914267E-020  1.044821E-019  3.289814E-008
+  6.094700E+004  1.559329E-008  8.253899E-009  5.103080E-010  4.487640E-009  5.117703E-010  0.000000E+000  0.000000E+000  1.544063E-026  3.057926E-020  8.171127E-020  2.935691E-008
+  6.483800E+004  1.386625E-008  7.331416E-009  4.635132E-010  4.076110E-009  4.490470E-010  0.000000E+000  0.000000E+000  1.206279E-026  2.388947E-020  6.390522E-020  2.618633E-008
+  6.897800E+004  1.232365E-008  6.508910E-009  4.210109E-010  3.702332E-009  3.939999E-010  0.000000E+000  0.000000E+000  9.423674E-027  1.866300E-020  4.997833E-020  2.334990E-008
+  7.338300E+004  1.094698E-008  5.776027E-009  3.824044E-010  3.362790E-009  3.456986E-010  0.000000E+000  0.000000E+000  7.362035E-027  1.458003E-020  3.908480E-020  2.081390E-008
+  7.806800E+004  9.719207E-009  5.123525E-009  3.473338E-010  3.054449E-009  3.033268E-010  0.000000E+000  0.000000E+000  5.751387E-027  1.139028E-020  3.056721E-020  1.854784E-008
+  8.305300E+004  8.625445E-009  4.543119E-009  3.154810E-010  2.774352E-009  2.661423E-010  0.000000E+000  0.000000E+000  4.493190E-027  8.898461E-021  2.390536E-020  1.652454E-008
+  8.835600E+004  7.651537E-009  4.027056E-009  2.865527E-010  2.519938E-009  2.335159E-010  0.000000E+000  0.000000E+000  3.510157E-027  6.951655E-021  1.869544E-020  1.471860E-008
+  9.399800E+004  6.784991E-009  3.568452E-009  2.602770E-010  2.288864E-009  2.048904E-010  0.000000E+000  0.000000E+000  2.742247E-027  5.430815E-021  1.462084E-020  1.310747E-008
+  1.000000E+005  6.014465E-009  3.161203E-009  2.364086E-010  2.078964E-009  1.797747E-010  0.000000E+000  0.000000E+000  2.142301E-027  4.242698E-021  1.143437E-020  1.167081E-008
diff --git a/dust_extinction/data/EXT_DBP90.RES.dat b/dust_extinction/data/EXT_DBP90.RES.dat
new file mode 100644
index 0000000..b900ba3
--- /dev/null
+++ b/dust_extinction/data/EXT_DBP90.RES.dat
@@ -0,0 +1,757 @@
+# DUSTEM extinction cross-section for NH=10^21 H/cm2 : sigma (x 1e-21) [cm2/H]
+#
+# Grain types
+# nr of grain types - nr of lambda
+# lambda (microns)   ABS(1) ... ABS(ntype)  SCA(1) ... SCA(ntype)  EXT(Total)
+#
+# PAH0_DBP90 VSG_DBP90 BG_DBP90
+ 3   800
+  9.181700E-002  1.625214E+000  1.903402E-001  4.713749E-001  0.000000E+000  0.000000E+000  6.146585E-001  2.901588E+000
+  9.332500E-002  1.506414E+000  1.876495E-001  4.712813E-001  0.000000E+000  0.000000E+000  6.142322E-001  2.779577E+000
+  9.485800E-002  1.395404E+000  1.850264E-001  4.711892E-001  0.000000E+000  0.000000E+000  6.138328E-001  2.665453E+000
+  9.641600E-002  1.291740E+000  1.824686E-001  4.710986E-001  0.000000E+000  0.000000E+000  6.134586E-001  2.558766E+000
+  9.799900E-002  1.195009E+000  1.799777E-001  4.710094E-001  0.000000E+000  0.000000E+000  6.131080E-001  2.459104E+000
+  9.960900E-002  1.104823E+000  1.775544E-001  4.709217E-001  0.000000E+000  0.000000E+000  6.127795E-001  2.366079E+000
+  1.012500E-001  1.020816E+000  1.752004E-001  4.707770E-001  0.000000E+000  0.000000E+000  6.121670E-001  2.278961E+000
+  1.029100E-001  9.426393E-001  1.729168E-001  4.703371E-001  0.000000E+000  0.000000E+000  6.100832E-001  2.195976E+000
+  1.046000E-001  8.699551E-001  1.707036E-001  4.699044E-001  0.000000E+000  0.000000E+000  6.081313E-001  2.118694E+000
+  1.063200E-001  8.024447E-001  1.685641E-001  4.694784E-001  0.000000E+000  0.000000E+000  6.063022E-001  2.046789E+000
+  1.080600E-001  7.398183E-001  1.664991E-001  4.690595E-001  0.000000E+000  0.000000E+000  6.045885E-001  1.979965E+000
+  1.098400E-001  6.817965E-001  1.645140E-001  4.686473E-001  0.000000E+000  0.000000E+000  6.029827E-001  1.917940E+000
+  1.116400E-001  6.281022E-001  1.626082E-001  4.682416E-001  0.000000E+000  0.000000E+000  6.014784E-001  1.860430E+000
+  1.134800E-001  5.784969E-001  1.607868E-001  4.678426E-001  0.000000E+000  0.000000E+000  6.000689E-001  1.807195E+000
+  1.153400E-001  5.327245E-001  1.590526E-001  4.674413E-001  0.000000E+000  0.000000E+000  5.987016E-001  1.757920E+000
+  1.172300E-001  4.905694E-001  1.574100E-001  4.665527E-001  0.000000E+000  0.000000E+000  5.949057E-001  1.709438E+000
+  1.191600E-001  4.518175E-001  1.558640E-001  4.656787E-001  0.000000E+000  0.000000E+000  5.913496E-001  1.664710E+000
+  1.211200E-001  4.162526E-001  1.544199E-001  4.648185E-001  0.000000E+000  0.000000E+000  5.880182E-001  1.623509E+000
+  1.231100E-001  3.836993E-001  1.530842E-001  4.639729E-001  0.000000E+000  0.000000E+000  5.848970E-001  1.585653E+000
+  1.251300E-001  3.539677E-001  1.518644E-001  4.631404E-001  0.000000E+000  0.000000E+000  5.819724E-001  1.550945E+000
+  1.271800E-001  3.268881E-001  1.507694E-001  4.623214E-001  0.000000E+000  0.000000E+000  5.792330E-001  1.519212E+000
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+  1.880200E+004  6.327315E-008  8.998279E-007  1.868541E-008  0.000000E+000  0.000000E+000  1.569510E-019  9.817865E-007
+  2.000300E+004  5.947609E-008  8.458241E-007  1.650959E-008  0.000000E+000  0.000000E+000  1.225286E-019  9.218098E-007
+  2.128000E+004  5.590577E-008  7.950588E-007  1.458740E-008  0.000000E+000  0.000000E+000  9.565572E-020  8.655520E-007
+  2.263900E+004  5.255025E-008  7.473363E-007  1.288886E-008  0.000000E+000  0.000000E+000  7.467672E-020  8.127754E-007
+  2.408400E+004  4.939708E-008  7.024901E-007  1.138815E-008  0.000000E+000  0.000000E+000  5.829911E-020  7.632753E-007
+  2.562200E+004  4.643167E-008  6.603238E-007  1.006217E-008  0.000000E+000  0.000000E+000  4.551302E-020  7.168176E-007
+  2.725800E+004  4.364502E-008  6.206908E-007  8.890563E-009  0.000000E+000  0.000000E+000  3.553127E-020  6.732264E-007
+  2.899900E+004  4.102550E-008  5.834388E-007  7.855401E-009  0.000000E+000  0.000000E+000  2.773898E-020  6.323197E-007
+  3.085000E+004  3.856297E-008  5.484190E-007  6.940679E-009  0.000000E+000  0.000000E+000  2.165530E-020  5.939226E-007
+  3.282000E+004  3.624886E-008  5.155021E-007  6.132604E-009  0.000000E+000  0.000000E+000  1.690626E-020  5.578836E-007
+  3.491600E+004  3.407303E-008  4.845619E-007  5.418480E-009  0.000000E+000  0.000000E+000  1.319825E-020  5.240534E-007
+  3.714500E+004  3.202798E-008  4.554821E-007  4.787580E-009  0.000000E+000  0.000000E+000  1.030362E-020  4.922977E-007
+  3.951700E+004  3.010568E-008  4.281469E-007  4.230154E-009  0.000000E+000  0.000000E+000  8.043936E-021  4.624827E-007
+  4.204000E+004  2.829870E-008  4.024477E-007  3.737615E-009  0.000000E+000  0.000000E+000  6.279844E-021  4.344840E-007
+  4.472500E+004  2.660036E-008  3.782937E-007  3.302424E-009  0.000000E+000  0.000000E+000  4.902550E-021  4.081965E-007
+  4.758000E+004  2.500377E-008  3.555876E-007  2.917880E-009  0.000000E+000  0.000000E+000  3.827322E-021  3.835092E-007
+  5.061800E+004  2.350309E-008  3.342463E-007  2.578145E-009  0.000000E+000  0.000000E+000  2.987920E-021  3.603276E-007
+  5.385000E+004  2.209246E-008  3.141822E-007  2.277956E-009  0.000000E+000  0.000000E+000  2.332649E-021  3.385526E-007
+  5.728900E+004  2.076647E-008  2.953255E-007  2.012718E-009  0.000000E+000  0.000000E+000  1.821045E-021  3.181047E-007
+  6.094700E+004  1.952001E-008  2.776035E-007  1.778356E-009  0.000000E+000  0.000000E+000  1.421680E-021  2.989018E-007
+  6.483800E+004  1.834849E-008  2.609419E-007  1.571301E-009  0.000000E+000  0.000000E+000  1.109884E-021  2.808617E-007
+  6.897800E+004  1.724724E-008  2.452781E-007  1.388343E-009  0.000000E+000  0.000000E+000  8.664671E-022  2.639137E-007
+  7.338300E+004  1.621209E-008  2.305569E-007  1.226693E-009  0.000000E+000  0.000000E+000  6.764366E-022  2.479957E-007
+  7.806800E+004  1.523908E-008  2.167199E-007  1.083856E-009  0.000000E+000  0.000000E+000  5.280867E-022  2.330429E-007
+  8.305300E+004  1.432436E-008  2.037114E-007  9.576560E-010  0.000000E+000  0.000000E+000  4.122665E-022  2.189934E-007
+  8.835600E+004  1.346469E-008  1.914859E-007  8.461504E-010  0.000000E+000  0.000000E+000  3.218491E-022  2.057967E-007
+  9.399800E+004  1.265648E-008  1.799921E-007  7.476310E-010  0.000000E+000  0.000000E+000  2.512634E-022  1.933962E-007
+  1.000000E+005  1.189695E-008  1.691894E-007  6.605723E-010  0.000000E+000  0.000000E+000  1.961604E-022  1.817469E-007
diff --git a/dust_extinction/data/EXT_J13.RES.dat b/dust_extinction/data/EXT_J13.RES.dat
new file mode 100644
index 0000000..b3149ea
--- /dev/null
+++ b/dust_extinction/data/EXT_J13.RES.dat
@@ -0,0 +1,808 @@
+# DUSTEM extinction cross-section for NH=10^21 H/cm2 : sigma (x 1e-21) [cm2/H]
+# 
+# Grain types 
+# nr of grain types - nr of lambda
+# lambda (microns)   ABS(1) ... ABS(ntype)  SCA(1) ... SCA(ntype)  EXT(Total)
+# 
+# CM20 CM20 aPyM5 aOlM5
+ 4   800
+  4.000000E-002  7.620640E-001  3.927298E-002  1.238283E-001  1.278304E-001  5.833468E-003  3.885540E-002  1.406067E-001  1.265950E-001  1.364886E+000
+  4.065700E-002  7.817045E-001  3.958311E-002  1.247322E-001  1.282865E-001  5.876558E-003  3.894714E-002  1.414005E-001  1.280784E-001  1.388609E+000
+  4.132500E-002  8.015982E-001  3.989124E-002  1.254439E-001  1.287343E-001  5.919012E-003  3.905641E-002  1.428365E-001  1.296164E-001  1.413096E+000
+  4.200400E-002  8.221949E-001  4.020836E-002  1.261338E-001  1.291782E-001  5.962433E-003  3.912469E-002  1.430330E-001  1.310487E-001  1.436884E+000
+  4.269400E-002  8.433102E-001  4.052862E-002  1.265042E-001  1.281800E-001  6.005991E-003  3.920936E-002  1.425451E-001  1.327436E-001  1.459027E+000
+  4.339500E-002  8.649259E-001  4.085109E-002  1.266299E-001  1.284979E-001  6.049759E-003  3.931972E-002  1.442704E-001  1.340725E-001  1.484617E+000
+  4.410800E-002  8.873606E-001  4.118037E-002  1.268637E-001  1.290701E-001  6.094582E-003  3.942475E-002  1.459667E-001  1.355115E-001  1.511472E+000
+  4.483200E-002  9.100680E-001  4.151115E-002  1.272896E-001  1.296650E-001  6.138732E-003  3.952912E-002  1.469444E-001  1.364605E-001  1.537607E+000
+  4.556900E-002  9.339508E-001  4.185207E-002  1.279634E-001  1.302731E-001  6.184882E-003  3.961994E-002  1.476641E-001  1.381028E-001  1.565611E+000
+  4.631700E-002  9.578486E-001  4.218642E-002  1.285921E-001  1.309554E-001  6.229588E-003  3.975565E-002  1.493479E-001  1.396521E-001  1.594568E+000
+  4.707800E-002  9.832784E-001  4.253715E-002  1.291130E-001  1.316672E-001  6.277217E-003  3.983215E-002  1.496408E-001  1.396119E-001  1.621958E+000
+  4.785100E-002  1.008749E+000  4.288614E-002  1.298713E-001  1.323481E-001  6.323422E-003  3.995568E-002  1.511260E-001  1.406916E-001  1.651952E+000
+  4.863700E-002  1.035620E+000  4.324005E-002  1.305561E-001  1.330353E-001  6.371974E-003  4.107061E-002  1.524725E-001  1.418830E-001  1.684250E+000
+  4.943600E-002  1.062869E+000  4.360969E-002  1.313143E-001  1.337145E-001  6.420007E-003  4.019363E-002  1.532077E-001  1.430753E-001  1.714404E+000
+  5.024800E-002  1.091298E+000  4.398616E-002  1.320974E-001  1.345022E-001  6.469749E-003  4.033593E-002  1.542926E-001  1.439530E-001  1.746935E+000
+  5.107300E-002  1.120483E+000  4.436048E-002  1.328462E-001  1.352861E-001  6.519832E-003  4.045652E-002  1.560805E-001  1.453506E-001  1.781383E+000
+  5.191200E-002  1.150647E+000  4.473451E-002  1.337326E-001  1.361159E-001  6.571098E-003  4.064390E-002  1.562786E-001  1.458626E-001  1.814587E+000
+  5.276500E-002  1.182014E+000  4.512006E-002  1.346059E-001  1.370229E-001  6.623766E-003  4.074218E-002  1.582245E-001  1.476600E-001  1.852014E+000
+  5.363200E-002  1.214119E+000  4.552863E-002  1.354744E-001  1.379126E-001  6.676999E-003  4.114993E-002  1.589465E-001  1.485248E-001  1.888332E+000
+  5.451300E-002  1.247932E+000  4.593830E-002  1.364635E-001  1.388697E-001  6.732656E-003  4.103040E-002  1.601841E-001  1.497169E-001  1.926867E+000
+  5.540800E-002  1.282162E+000  4.633891E-002  1.373902E-001  1.398944E-001  6.788298E-003  4.116519E-002  1.617231E-001  1.509425E-001  1.966405E+000
+  5.631800E-002  1.318712E+000  4.677634E-002  1.386221E-001  1.409359E-001  6.847677E-003  4.133946E-002  1.629987E-001  1.526364E-001  2.008868E+000
+  5.724300E-002  1.355643E+000  4.720332E-002  1.397823E-001  1.421188E-001  6.906873E-003  4.152048E-002  1.684421E-001  1.579924E-001  2.059609E+000
+  5.818400E-002  1.395079E+000  4.766022E-002  1.409786E-001  1.433473E-001  6.970186E-003  4.166073E-002  1.654186E-001  1.549538E-001  2.096069E+000
+  5.913900E-002  1.435211E+000  4.811486E-002  1.423588E-001  1.446410E-001  7.034064E-003  4.190405E-002  1.667785E-001  1.564655E-001  2.142507E+000
+  6.011100E-002  1.477637E+000  4.858416E-002  1.439513E-001  1.461455E-001  7.101713E-003  4.202350E-002  1.676884E-001  1.576408E-001  2.190773E+000
+  6.109800E-002  1.521392E+000  4.906431E-002  1.456113E-001  1.477185E-001  7.171250E-003  4.216837E-002  1.688594E-001  1.589766E-001  2.240962E+000
+  6.210200E-002  1.567177E+000  4.956828E-002  1.473274E-001  1.492949E-001  7.244221E-003  4.256608E-002  1.697064E-001  1.603004E-001  2.293185E+000
+  6.312200E-002  1.614979E+000  5.007450E-002  1.492340E-001  1.510636E-001  7.320454E-003  4.275373E-002  1.697634E-001  1.606080E-001  2.345797E+000
+  6.415900E-002  1.664401E+000  5.060746E-002  1.512520E-001  1.529475E-001  7.399811E-003  4.279084E-002  1.699708E-001  1.609943E-001  2.400363E+000
+  6.521300E-002  1.716530E+000  5.115880E-002  1.531830E-001  1.546759E-001  7.483989E-003  4.308452E-002  1.703697E-001  1.616976E-001  2.458184E+000
+  6.628400E-002  1.769798E+000  5.171541E-002  1.549851E-001  1.566489E-001  7.571029E-003  4.323417E-002  1.714397E-001  1.627063E-001  2.518098E+000
+  6.737200E-002  1.826275E+000  5.231723E-002  1.568918E-001  1.585513E-001  7.664169E-003  4.345424E-002  1.720632E-001  1.634602E-001  2.580677E+000
+  6.847900E-002  1.883455E+000  5.290919E-002  1.588118E-001  1.604704E-001  7.760477E-003  4.372079E-002  1.734494E-001  1.649301E-001  2.645507E+000
+  6.960400E-002  1.943857E+000  5.356633E-002  1.607910E-001  1.624295E-001  7.864095E-003  4.394465E-002  1.736717E-001  1.651943E-001  2.711319E+000
+  7.074700E-002  2.004520E+000  5.422234E-002  1.628265E-001  1.644276E-001  7.971311E-003  4.423312E-002  1.745789E-001  1.661491E-001  2.778929E+000
+  7.190900E-002  2.066788E+000  5.492839E-002  1.649949E-001  1.665797E-001  8.084866E-003  4.451902E-002  1.758705E-001  1.673838E-001  2.849149E+000
+  7.309100E-002  2.128717E+000  5.565517E-002  1.673908E-001  1.688222E-001  8.204034E-003  4.475857E-002  1.762260E-001  1.678710E-001  2.917645E+000
+  7.429100E-002  2.190171E+000  5.642790E-002  1.696682E-001  1.710375E-001  8.330722E-003  4.504299E-002  1.774725E-001  1.690531E-001  2.987203E+000
+  7.551100E-002  2.246059E+000  5.725530E-002  1.721948E-001  1.734580E-001  8.455659E-003  4.531529E-002  1.785761E-001  1.701556E-001  3.051469E+000
+  7.675200E-002  2.293591E+000  5.814428E-002  1.748187E-001  1.759661E-001  8.582300E-003  4.561949E-002  1.792461E-001  1.708139E-001  3.106782E+000
+  7.801200E-002  2.299812E+000  5.905659E-002  1.770019E-001  1.782507E-001  8.641716E-003  4.670921E-002  1.791178E-001  1.709878E-001  3.119578E+000
+  7.929400E-002  2.283542E+000  5.997151E-002  1.793955E-001  1.803088E-001  8.677068E-003  4.613863E-002  1.794105E-001  1.710761E-001  3.108520E+000
+  8.059600E-002  2.255102E+000  6.086515E-002  1.812967E-001  1.821561E-001  8.662464E-003  4.612499E-002  1.795287E-001  1.707781E-001  3.084514E+000
+  8.192000E-002  2.221652E+000  6.175529E-002  1.832222E-001  1.839088E-001  8.649080E-003  4.626954E-002  1.795205E-001  1.713656E-001  3.056343E+000
+  8.326600E-002  2.171594E+000  6.260064E-002  1.846891E-001  1.853504E-001  8.571507E-003  4.638970E-002  1.798850E-001  1.715910E-001  3.010672E+000
+  8.463400E-002  2.118031E+000  6.343561E-002  1.861212E-001  1.867763E-001  8.497332E-003  4.639116E-002  1.799321E-001  1.715168E-001  2.960701E+000
+  8.602400E-002  2.054340E+000  6.421572E-002  1.866674E-001  1.879873E-001  8.374234E-003  4.641488E-002  1.795283E-001  1.711598E-001  2.898687E+000
+  8.743700E-002  1.987788E+000  6.496796E-002  1.881037E-001  1.890981E-001  8.245582E-003  4.640434E-002  1.796563E-001  1.716189E-001  2.835883E+000
+  8.887300E-002  1.915694E+000  6.566591E-002  1.890650E-001  1.899186E-001  8.084326E-003  4.638111E-002  1.801748E-001  1.709733E-001  2.765957E+000
+  9.033300E-002  1.841702E+000  6.631304E-002  1.903415E-001  1.909694E-001  7.909449E-003  4.633343E-002  1.795835E-001  1.710685E-001  2.694220E+000
+  9.181700E-002  1.766002E+000  6.691346E-002  1.909182E-001  1.915478E-001  7.717916E-003  4.628995E-002  1.789147E-001  1.705878E-001  2.618892E+000
+  9.332500E-002  1.689529E+000  6.745036E-002  1.915498E-001  1.922314E-001  7.506945E-003  4.618670E-002  1.786221E-001  1.702039E-001  2.543280E+000
+  9.485800E-002  1.613819E+000  6.794339E-002  1.919391E-001  1.926148E-001  7.293302E-003  4.617570E-002  1.787472E-001  1.703760E-001  2.468909E+000
+  9.641600E-002  1.538455E+000  6.834950E-002  1.925252E-001  1.930310E-001  7.056157E-003  4.596609E-002  1.784651E-001  1.701260E-001  2.393974E+000
+  9.799900E-002  1.465240E+000  6.873495E-002  1.928556E-001  1.935026E-001  6.828388E-003  4.587961E-002  1.778013E-001  1.695153E-001  2.320357E+000
+  9.960900E-002  1.393382E+000  6.902442E-002  1.932099E-001  1.938351E-001  6.574708E-003  4.616977E-002  1.773746E-001  1.690781E-001  2.248648E+000
+  1.012500E-001  1.323891E+000  6.928634E-002  1.935729E-001  1.941275E-001  6.334652E-003  4.550143E-002  1.769418E-001  1.686779E-001  2.178334E+000
+  1.029100E-001  1.257205E+000  6.945533E-002  1.937545E-001  1.943336E-001  6.077925E-003  4.525411E-002  1.764974E-001  1.682644E-001  2.110842E+000
+  1.046000E-001  1.193031E+000  6.959200E-002  1.939728E-001  1.945448E-001  5.832077E-003  4.507941E-002  1.762186E-001  1.677753E-001  2.046046E+000
+  1.063200E-001  1.131680E+000  6.965628E-002  1.940700E-001  1.946410E-001  5.579280E-003  4.483746E-002  1.759523E-001  1.672229E-001  1.983639E+000
+  1.080600E-001  1.073387E+000  6.967474E-002  1.941169E-001  1.946777E-001  5.334624E-003  4.459465E-002  1.757742E-001  1.667026E-001  1.924262E+000
+  1.098400E-001  1.017566E+000  6.963433E-002  1.939476E-001  1.945666E-001  5.089858E-003  4.434234E-002  1.758333E-001  1.663511E-001  1.867331E+000
+  1.116400E-001  9.650966E-001  6.954107E-002  1.937676E-001  1.944398E-001  4.850723E-003  4.408539E-002  1.759746E-001  1.660187E-001  1.813775E+000
+  1.134800E-001  9.147828E-001  6.940421E-002  1.937538E-001  1.942316E-001  4.617435E-003  4.382120E-002  1.752402E-001  1.653747E-001  1.761226E+000
+  1.153400E-001  8.681847E-001  6.921337E-002  1.936988E-001  1.939868E-001  4.388415E-003  4.354129E-002  1.739090E-001  1.643428E-001  1.711265E+000
+  1.172300E-001  8.234439E-001  6.899077E-002  1.936677E-001  1.936917E-001  4.170048E-003  4.327199E-002  1.725335E-001  1.633189E-001  1.663089E+000
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+  3.085000E+004  1.053328E-008  7.400174E-008  1.798680E-009  1.981905E-009  5.325326E-023  9.170096E-019  1.115451E-017  9.359620E-018  8.831560E-008
+  3.282000E+004  9.750936E-009  6.898590E-008  1.591058E-009  1.753252E-009  4.165797E-023  7.169170E-019  8.707854E-018  7.306679E-018  8.208115E-008
+  3.491600E+004  9.026730E-009  6.431038E-008  1.407395E-009  1.550973E-009  3.258304E-023  5.604518E-019  6.797630E-018  5.703771E-018  7.629548E-008
+  3.714500E+004  8.356620E-009  5.995387E-008  1.244993E-009  1.372076E-009  2.548938E-023  4.382046E-019  5.306967E-018  4.452959E-018  7.092756E-008
+  3.951700E+004  7.736255E-009  5.589190E-008  1.101290E-009  1.213788E-009  1.993727E-023  3.425891E-019  4.142892E-018  3.476199E-018  6.594324E-008
+  4.204000E+004  7.162070E-009  5.210602E-008  9.742031E-010  1.073792E-009  1.559558E-023  2.678563E-019  3.234275E-018  2.713796E-018  6.131608E-008
+  4.472500E+004  6.630430E-009  4.857679E-008  8.617446E-010  9.498930E-010  1.219836E-023  2.094171E-019  2.524767E-018  2.118443E-018  5.701886E-008
+  4.758000E+004  6.138625E-009  4.528781E-008  7.623212E-010  8.403547E-010  9.541842E-024  1.637463E-019  1.971130E-018  1.653898E-018  5.302912E-008
+  5.061800E+004  5.683207E-009  4.222168E-008  6.743450E-010  7.434269E-010  7.463905E-024  1.280347E-019  1.538814E-018  1.291152E-018  4.932266E-008
+  5.385000E+004  5.261625E-009  3.936356E-008  5.965266E-010  6.576770E-010  5.837902E-024  1.001062E-019  1.201310E-018  1.007969E-018  4.587939E-008
+  5.728900E+004  4.871400E-009  3.669856E-008  5.276713E-010  5.818069E-010  4.566380E-024  7.827521E-020  9.377869E-019  7.868524E-019  4.267944E-008
+  6.094700E+004  4.510096E-009  3.421518E-008  4.667807E-010  5.147025E-010  3.571463E-024  6.120284E-020  7.320997E-019  6.142694E-019  3.970676E-008
+  6.483800E+004  4.175774E-009  3.189990E-008  4.129224E-010  4.553412E-010  2.793707E-024  4.786056E-020  5.715466E-019  4.795568E-019  3.694393E-008
+  6.897800E+004  3.866199E-009  2.974184E-008  3.652773E-010  4.028270E-010  2.185020E-024  3.742304E-020  4.461877E-019  3.743730E-019  3.437614E-008
+  7.338300E+004  3.579603E-009  2.772948E-008  3.231195E-010  3.563608E-010  1.708984E-024  2.926324E-020  3.483169E-019  2.922469E-019  3.198857E-008
+  7.806800E+004  3.314347E-009  2.585410E-008  2.858407E-010  3.152669E-010  1.336746E-024  2.288363E-020  2.719263E-019  2.281566E-019  2.976956E-008
+  8.305300E+004  3.068735E-009  2.410535E-008  2.528562E-010  2.789048E-010  1.045495E-024  1.789463E-020  2.122824E-019  1.781115E-019  2.770585E-008
+  8.835600E+004  2.841380E-009  2.247560E-008  2.236819E-010  2.467419E-010  8.177275E-025  1.399381E-020  1.657232E-019  1.390464E-019  2.578741E-008
+  9.399800E+004  2.630852E-009  2.095603E-008  1.978700E-010  2.182839E-010  6.395488E-025  1.094323E-020  1.293721E-019  1.085479E-019  2.400303E-008
+  1.000000E+005  2.435971E-009  1.953937E-008  1.750398E-010  1.931124E-010  5.002064E-025  8.558166E-021  1.009964E-019  8.473916E-020  2.234349E-008
diff --git a/dust_extinction/grain_models.py b/dust_extinction/grain_models.py
index 485b302..2ac2273 100644
--- a/dust_extinction/grain_models.py
+++ b/dust_extinction/grain_models.py
@@ -8,10 +8,139 @@ from astropy.modeling import InputParameterError
 from .helpers import _get_x_in_wavenumbers, _test_valid_x_range
 from .baseclasses import BaseExtModel
 
-__all__ = ["WD01", "D03", "ZDA04"]
+__all__ = ["DBP90", "WD01", "D03", "ZDA04", "C11", "J13"]
 
 
-class WD01(BaseExtModel):
+class GMBase(BaseExtModel):
+    r"""
+    Base for Grain Models
+
+    Parameters
+    ----------
+    None
+
+    Raises
+    ------
+    None
+    """
+
+    def evaluate(self, in_x):
+        """
+        WD01 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
+        """
+        x = _get_x_in_wavenumbers(in_x)
+
+        # check that the wavenumbers are within the defined range
+        _test_valid_x_range(x, self.x_range, self.__class__.__name__)
+
+        # define the function allowing for spline interpolation
+        #   fill value needed to handle numerical issues at the edges
+        #   the x values has already been checked to be in range
+        f = interp1d(self.data_x, self.data_axav, fill_value="extrapolate")
+
+        return f(x)
+
+
+class DBP90(GMBase):
+    r"""
+    Desert et al (1990) Grain Models
+
+    Parameters
+    ----------
+    None
+
+    Raises
+    ------
+    None
+
+    Notes
+    -----
+    From Desert, Boulanger, & Puget (1990, A&A, 237, 215)
+    Computed by DustEm and downloaded from the DustEm website.
+
+    Example showing the possible curves
+
+    .. plot::
+        :include-source:
+
+        import numpy as np
+        import matplotlib.pyplot as plt
+        import astropy.units as u
+
+        from dust_extinction.grain_models import DBP90
+
+        fig, ax = plt.subplots()
+
+        ext_model = DBP90()
+
+        lam = np.logspace(np.log10(1.0/ext_model.x_range[1]),
+                          np.log10(1.0/ext_model.x_range[0]),
+                          num=1000)
+        x = (1.0 / lam) / u.micron
+
+        # define the extinction model
+        ax.plot(lam,ext_model(x),label=ext_model.__class__.__name__)
+
+        ax.set_xlabel(r'$\lambda$ [$\mu m$]')
+        ax.set_ylabel(r'$A(x)/A(V)$')
+
+        ax.set_xscale('log')
+        ax.set_yscale('log')
+
+        ax.legend(loc='best')
+        plt.show()
+    """
+
+    x_range = [1.0 / 1e5, 1.0 / 0.0918]
+
+    possnames = {"MWRV31": ("EXT_DBP90.RES.dat", 3.1)}
+
+    def __init__(self, modelname="MWRV31", **kwargs):
+
+        if modelname not in self.possnames.keys():
+            raise InputParameterError("modelname not recognized")
+        filename = self.possnames[modelname][0]
+        self.Rv = self.possnames[modelname][1]
+
+        # get the tabulated information
+        data_path = pkg_resources.resource_filename("dust_extinction", "data/")
+
+        a = Table.read(
+            data_path + filename, data_start=1, header_start=None, format="ascii.basic",
+        )
+
+        self.data_x = 1.0 / a["col1"].data
+
+        # normalized by wavelength closest to V band
+        sindxs = np.argsort(np.absolute(self.data_x - 1.0 / 0.55))
+
+        self.data_axav = a["col8"].data / a["col8"].data[sindxs[0]]
+
+        # accuracy of the data based on calculations
+        self.data_tolerance = 1e-6
+
+        super().__init__(**kwargs)
+
+
+class WD01(GMBase):
     r"""
     Weingartner & Draine (2001) Grain Models
 
@@ -98,51 +227,15 @@ class WD01(BaseExtModel):
         # normalized by wavelength closest to V band
         sindxs = np.argsort(np.absolute(self.data_x - 1.0 / 0.55))
 
-        # ext is A(lambda)/A(K)
-        # A(K)/A(V) = 0.112 (F19, R(V) = 3.1)
         self.data_axav = a["cext"].data / a["cext"].data[sindxs[0]]
 
-        # accuracy of the observed data based on calculations
+        # accuracy of the data based on calculations
         self.data_tolerance = 1e-6
 
         super().__init__(**kwargs)
 
-    def evaluate(self, in_x):
-        """
-        WD01 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
-        """
-        x = _get_x_in_wavenumbers(in_x)
-
-        # check that the wavenumbers are within the defined range
-        _test_valid_x_range(x, self.x_range, self.__class__.__name__)
-
-        # define the function allowing for spline interpolation
-        #   fill value needed to handle numerical issues at the edges
-        #   the x values has already been checked to be in range
-        f = interp1d(self.data_x, self.data_axav, fill_value="extrapolate")
-
-        return f(x)
-
 
-class D03(BaseExtModel):
+class D03(GMBase):
     r"""
     Draine (2003) Grain Models
 
@@ -227,51 +320,15 @@ class D03(BaseExtModel):
         # normalized by wavelength closest to V band
         sindxs = np.argsort(np.absolute(self.data_x - 1.0 / 0.55))
 
-        # ext is A(lambda)/A(K)
-        # A(K)/A(V) = 0.112 (F19, R(V) = 3.1)
         self.data_axav = a["cext"].data / a["cext"].data[sindxs[0]]
 
-        # accuracy of the observed data based on calculations
+        # accuracy of the data based on calculations
         self.data_tolerance = 1e-6
 
         super().__init__(**kwargs)
 
-    def evaluate(self, in_x):
-        """
-        D03 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
-        """
-        x = _get_x_in_wavenumbers(in_x)
-
-        # check that the wavenumbers are within the defined range
-        _test_valid_x_range(x, self.x_range, self.__class__.__name__)
 
-        # define the function allowing for spline interpolation
-        #   fill value needed to handle numerical issues at the edges
-        #   the x values has already been checked to be in range
-        f = interp1d(self.data_x, self.data_axav, fill_value="extrapolate")
-
-        return f(x)
-
-
-class ZDA04(BaseExtModel):
+class ZDA04(GMBase):
     r"""
     Zubko, Dwek, & Arendt (2004) Grain Models
 
@@ -344,45 +401,171 @@ class ZDA04(BaseExtModel):
         # normalized by wavelength closest to V band
         sindxs = np.argsort(np.absolute(self.data_x - 1.0 / 0.55))
 
-        # ext is A(lambda)/A(K)
-        # A(K)/A(V) = 0.112 (F19, R(V) = 3.1)
         self.data_axav = a["A_lam/A_V"].data / a["A_lam/A_V"].data[sindxs[0]]
 
-        # accuracy of the observed data based on calculations
+        # accuracy of the data based on calculations
         self.data_tolerance = 1e-6
 
         super().__init__(**kwargs)
 
-    def evaluate(self, in_x):
-        """
-        ZDA04 function
 
-        Parameters
-        ----------
-        in_x: float
-           expects either x in units of wavelengths or frequency
-           or assumes wavelengths in wavenumbers [1/micron]
+class C11(GMBase):
+    r"""
+    Compiegne et al (2011) Grain Models
 
-           internally wavenumbers are used
+    Parameters
+    ----------
+    None
 
-        Returns
-        -------
-        axav: np array (float)
-            A(x)/A(V) extinction curve [mag]
+    Raises
+    ------
+    None
 
-        Raises
-        ------
-        ValueError
-           Input x values outside of defined range
-        """
-        x = _get_x_in_wavenumbers(in_x)
+    Notes
+    -----
+    From Compiegne et al. (2011, A&A, 525, 103)
+    Computed by DustEm and downloaded from the DustEm website
 
-        # check that the wavenumbers are within the defined range
-        _test_valid_x_range(x, self.x_range, self.__class__.__name__)
+    Example showing the possible curves
 
-        # define the function allowing for spline interpolation
-        #   fill value needed to handle numerical issues at the edges
-        #   the x values has already been checked to be in range
-        f = interp1d(self.data_x, self.data_axav, fill_value="extrapolate")
+    .. plot::
+        :include-source:
 
-        return f(x)
+        import numpy as np
+        import matplotlib.pyplot as plt
+        import astropy.units as u
+
+        from dust_extinction.grain_models import C11
+
+        fig, ax = plt.subplots()
+
+        ext_model = C11()
+
+        lam = np.logspace(np.log10(1.0/ext_model.x_range[1]),
+                          np.log10(1.0/ext_model.x_range[0]),
+                          num=1000)
+        x = (1.0 / lam) / u.micron
+
+        # define the extinction model
+        ax.plot(lam,ext_model(x),label=ext_model.__class__.__name__)
+
+        ax.set_xlabel(r'$\lambda$ [$\mu m$]')
+        ax.set_ylabel(r'$A(x)/A(V)$')
+
+        ax.set_xscale('log')
+        ax.set_yscale('log')
+
+        ax.legend(loc='best')
+        plt.show()
+    """
+
+    x_range = [1.0 / 1e5, 1.0 / 4e-2]
+
+    possnames = {"MWRV31": ("EXT_C11.RES.dat", 3.1)}
+
+    def __init__(self, modelname="MWRV31", **kwargs):
+
+        if modelname not in self.possnames.keys():
+            raise InputParameterError("modelname not recognized")
+        filename = self.possnames[modelname][0]
+        self.Rv = self.possnames[modelname][1]
+
+        # get the tabulated information
+        data_path = pkg_resources.resource_filename("dust_extinction", "data/")
+
+        a = Table.read(
+            data_path + filename, data_start=1, header_start=None, format="ascii.basic",
+        )
+
+        self.data_x = 1.0 / a["col1"].data
+
+        # normalized by wavelength closest to V band
+        sindxs = np.argsort(np.absolute(self.data_x - 1.0 / 0.55))
+
+        self.data_axav = a["col12"].data / a["col12"].data[sindxs[0]]
+
+        # accuracy of the data based on calculations
+        self.data_tolerance = 1e-6
+
+        super().__init__(**kwargs)
+
+
+class J13(GMBase):
+    r"""
+    Jones et al (2013) Grain Models
+
+    Parameters
+    ----------
+    None
+
+    Raises
+    ------
+    None
+
+    Notes
+    -----
+    From Jones et al. (2013, A&A, 558, 62) and Kohler et al. (2014, A&A, 565, 9)
+    Computed by DustEm and downloaded from the DustEm website.
+
+    Example showing the possible curves
+
+    .. plot::
+        :include-source:
+
+        import numpy as np
+        import matplotlib.pyplot as plt
+        import astropy.units as u
+
+        from dust_extinction.grain_models import J13
+
+        fig, ax = plt.subplots()
+
+        ext_model = J13()
+
+        lam = np.logspace(np.log10(1.0/ext_model.x_range[1]),
+                          np.log10(1.0/ext_model.x_range[0]),
+                          num=1000)
+        x = (1.0 / lam) / u.micron
+
+        # define the extinction model
+        ax.plot(lam,ext_model(x),label=ext_model.__class__.__name__)
+
+        ax.set_xlabel(r'$\lambda$ [$\mu m$]')
+        ax.set_ylabel(r'$A(x)/A(V)$')
+
+        ax.set_xscale('log')
+        ax.set_yscale('log')
+
+        ax.legend(loc='best')
+        plt.show()
+    """
+
+    x_range = [1.0 / 1e5, 1.0 / 4e-2]
+
+    possnames = {"MWRV31": ("EXT_J13.RES.dat", 3.1)}
+
+    def __init__(self, modelname="MWRV31", **kwargs):
+
+        if modelname not in self.possnames.keys():
+            raise InputParameterError("modelname not recognized")
+        filename = self.possnames[modelname][0]
+        self.Rv = self.possnames[modelname][1]
+
+        # get the tabulated information
+        data_path = pkg_resources.resource_filename("dust_extinction", "data/")
+
+        a = Table.read(
+            data_path + filename, data_start=1, header_start=None, format="ascii.basic",
+        )
+
+        self.data_x = 1.0 / a["col1"].data
+
+        # normalized by wavelength closest to V band
+        sindxs = np.argsort(np.absolute(self.data_x - 1.0 / 0.55))
+
+        self.data_axav = a["col10"].data / a["col10"].data[sindxs[0]]
+
+        # accuracy of the data based on calculations
+        self.data_tolerance = 1e-6
+
+        super().__init__(**kwargs)


Test patch:
diff --git a/dust_extinction/tests/helpers.py b/dust_extinction/tests/helpers.py
index ddb45a8..95740fe 100644
--- a/dust_extinction/tests/helpers.py
+++ b/dust_extinction/tests/helpers.py
@@ -24,7 +24,7 @@ from dust_extinction.averages import (
     GCC09_MWAvg,
     F11_MWGC,
 )
-from dust_extinction.grain_models import WD01, D03, ZDA04
+from dust_extinction.grain_models import DBP90, WD01, D03, ZDA04, C11, J13
 
 param_ave_models_Rv = [CCM89, O94, F99, F04, VCG04, GCC09, M14, F19]
 param_ave_models_Rv_fA = [G16]
@@ -42,7 +42,7 @@ ave_models = [
     GCC09_MWAvg,
     F11_MWGC,
 ]
-grain_models = [WD01, D03, ZDA04]
+grain_models = [DBP90, WD01, D03, ZDA04, C11, J13]
 
 all_models = (
     param_ave_models_Rv
diff --git a/dust_extinction/tests/test_corvals_aves.py b/dust_extinction/tests/test_corvals_aves.py
index bbdece5..34985eb 100644
--- a/dust_extinction/tests/test_corvals_aves.py
+++ b/dust_extinction/tests/test_corvals_aves.py
@@ -11,7 +11,7 @@ def test_corvals(model_class):
     tmodel = model_class()
 
     # test array evaluation
-    x_vals = tmodel.obsdata_x
+    x_vals = tmodel.obsdata_x / u.micron
     y_vals = tmodel.obsdata_axav
     tol = tmodel.obsdata_tolerance
     np.testing.assert_allclose(tmodel(x_vals), y_vals, rtol=tol)
diff --git a/dust_extinction/tests/test_corvals_grainmods.py b/dust_extinction/tests/test_corvals_grainmods.py
index af37109..603c69d 100644
--- a/dust_extinction/tests/test_corvals_grainmods.py
+++ b/dust_extinction/tests/test_corvals_grainmods.py
@@ -16,7 +16,7 @@ def test_corvals(model_class):
         tmodel = model_class(cmodel)
 
         # test array evaluation
-        x_vals = tmodel.data_x
+        x_vals = tmodel.data_x / u.micron
         y_vals = tmodel.data_axav
         tol = tmodel.data_tolerance
         np.testing.assert_allclose(tmodel(x_vals), y_vals, rtol=tol)