diff --git a/amespahdbpythonsuite/transitions.py b/amespahdbpythonsuite/transitions.py
index 9c40909..739e98b 100644
--- a/amespahdbpythonsuite/transitions.py
+++ b/amespahdbpythonsuite/transitions.py
@@ -920,8 +920,13 @@ def plot(self, **keywords) -> None:
     @staticmethod
     def absorption_cross_section(f: np.ndarray) -> np.ndarray:
         """
-        Calculates the PAH absorption cross-section per Li & Draine 2007,
-        ApJ, 657:810-837.
+        Calculates the PAH absorption cross-section per
+        - Li & Draine 2001b, ApJ, 554:778-802 Eq. [11]
+        - Draine & 2007, ApJ, 657:810-837. Table 1, same as Li & Draine 2001
+
+        With NIR corrections from
+        - Mattioda et al. 2005c
+        - Mattioda et al. 2008.
 
         :Params f: frequencies in wavenumber
 
@@ -930,23 +935,32 @@ def absorption_cross_section(f: np.ndarray) -> np.ndarray:
 
         wave = 1e4 / f
 
-        A_c = [7.97e-17, 1.23e-17, 20e-21, 14e-21, 80e-24, 84e-24, 46e-24, -322e-24]
-        W_c = [0.195, 0.217, 0.0805, 0.20, 0.0370, 0.0450, 0.0150, 0.135]
-        C_c = [0.0722, 0.2175, 1.05, 1.23, 1.66, 1.745, 1.885, 1.90]
+        # entry 1 and 2 from Draine & Li (2007), (but these are not different from Li & Draine 2001),
+        # entry 3-5 from Drude Parameters Mattioda et al. (2008) table 3, not used
+        # entry 6 is one Gaussian Parameters Mattioda et al. (2008) table 3
+        C_c = [0.0722, 0.2175, 1.05, 1.26, 1.905, 1.185]
+        W_c = [0.195, 0.217, 0.055, 0.11, 0.09, 0.2985]
+        A_c = [7.97e-17, 1.23e-17, 2e-20, 7.8e-21, 1.465e-22, 1.4e-20]
 
-        A = np.transpose(np.resize(A_c, (np.size(f), np.size(A_c))))
-        W = np.transpose(np.resize(W_c, (np.size(f), np.size(W_c))))
         C = np.transpose(np.resize(C_c, (np.size(f), np.size(C_c))))
+        W = np.transpose(np.resize(W_c, (np.size(f), np.size(W_c))))
+        A = np.transpose(np.resize(A_c, (np.size(f), np.size(A_c))))
 
-        # Cutoff wavelength from Salama et al. (1996), over wavelength
-        # (Eq. (4) in Mattioda et al. (2005))
-        y = 1.0 / (0.889 + (2.282 / np.sqrt(0.4 * nc))) / wave
+        # Cutoff wavelength from Salama et al. (1996),
+        # (Eq. (4) in Mattioda et al. (2005c)), adding in the correction for nc > 40
+        if nc > 40:
+            y = 1.0 / (0.889 + (2.282 / np.sqrt(0.4 * nc))) / wave
+        else:
+            y = 1.0 / (0.889 + (2.282 / np.sqrt(0.3 * nc))) / wave
 
+        # continuum from 0.07 - 0.82 μm according to Li & Draine (2001), Eq [11]
         wave_r2 = np.resize(wave, (2, (np.size(f))))
-
-        crosssection = ((1.0 / np.pi) * np.arctan((1e3 * (y - 1.0) ** 3) / y) + 0.5) * (
-            3458e-20 * 10.0 ** (-3.431 * wave)
-            + (2.0 / np.pi)
+        crosssection = (
+            (1.0 / np.pi) * np.arctan((1e3 * (y - 1.0) ** 3) / y) + 0.5
+        ) * (  # implement cutoff wavelenght
+            3458e-20
+            * 10.0 ** (-3.431 * wave)  # continuum from Li & Draine (2001) Eq. 11
+            + (2.0 / np.pi)  # Drude profile summation
             * np.sum(
                 W[:2]
                 * C[:2]
@@ -955,16 +969,17 @@ def absorption_cross_section(f: np.ndarray) -> np.ndarray:
                 axis=0,
             )
         )
-
         if charge != 0:
+            # NIR correction from 0.82 μm according to Mattioda et al. (2008), Eq. (3), table 3
             wave_r6 = np.resize(wave, (6, np.size(f)))
 
-            crosssection = (
-                crosssection
-                + np.exp(-1e-1 / wave**2) * 1.5e-19 * 10 ** (-wave)
+            crosssection = crosssection + (
+                np.exp(-1e-1 / wave**2) * 1.4e-19 * 10**-0.2 * 10 ** (-1.34 * wave)
                 + np.sqrt(2.0 / np.pi)
                 * np.sum(
-                    A[2:] * np.exp(-2.0 * (wave_r6 - C[2:]) ** 2 / W[2:] ** 2) / W[2:],
+                    A[5:]
+                    * np.exp(-2.0 * (wave_r6 - C[5:]) ** 2 / W[5:] ** 2)
+                    / W[5:],  # Gaussian profile summation
                     axis=0,
                 )
             )
@@ -1175,7 +1190,7 @@ def mean_energy(**keywords):
     def mean_energy_squared(**keywords):
         """
         Callback function to calculate the mean energy in erg^2 for a given
-        blackbody temperatyre.
+        blackbody temperature.
 
         :Returns: float array
 
@@ -1544,7 +1559,7 @@ def approximate_feature_strength(T: float):
     def number_of_photons(**keywords):
         """
         Calculate the number of photons given a
-        blacbody radiation field.
+        blackbody radiation field.
 
         """