diff --git a/nafuma/xanes/__init__.py b/nafuma/xanes/__init__.py
index b11c1f3..a3834e8 100644
--- a/nafuma/xanes/__init__.py
+++ b/nafuma/xanes/__init__.py
@@ -1 +1 @@
-from . import io, calib
\ No newline at end of file
+from . import io, calib, edges
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diff --git a/nafuma/xanes/edges.py b/nafuma/xanes/edges.py
new file mode 100644
index 0000000..dc02601
--- /dev/null
+++ b/nafuma/xanes/edges.py
@@ -0,0 +1,27 @@
+import pandas as pd
+import numpy as np
+from scipy.constants import c, h
+
+# From 2019 redefinition of SI base units: https://en.wikipedia.org/wiki/2019_redefinition_of_the_SI_base_units
+keV_per_J = (1 / 1.602176634e-19) / 1000
+
+# kXu values taken from International Tables for Crystallography Volume , Kulwer Academic Publishers - Dordrect / Boston / London (1992)
+k_edge = {   'Z':    [ 1, 2,
+                        3, 4, 5, 6, 7, 8, 9, 10,
+                        11, 12, 13, 14, 15, 16, 17, 18,
+                        19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,
+                        37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48], 
+            'Atom': [   'H', 'He',
+                        'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne',
+                        'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar',
+                        'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr',
+                        'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd'], 
+            'kXu': [    np.nan, np.nan,
+                        226.5, np.nan, np.nan, 43.68, 30.99, 23.32, np.nan, np.nan, 
+                        np.nan, 9.5117, 7.9511, 6.7446, 5.7866, 5.0182, 4.3969, 3.8707, 
+                        3.43645, 3.07016, 2.7573, 2.49730, 2.26902, 2.07012, 1.89636, 1.74334, 1.60811, 1.48802, 1.38043, 1.2833, 1.19567, 1.11652, 1.04497, 0.97978, 0.91995, 0.86547,
+                        0.81549, 0.76969, 0.72762, 0.68877, 0.65291, 0.61977, 0.5891, 0.56047, 0.53378, 0.50915, 0.48582, 0.46409]}
+
+
+k_edge = pd.DataFrame(k_edge)
+k_edge['keV'] = np.round(h*c/(k_edge['kXu']*10**-10) * keV_per_J, 3)
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