diff --git a/dkist/io/asdf/converters/models.py b/dkist/io/asdf/converters/models.py
index 5998d0f7..1ea1361b 100644
--- a/dkist/io/asdf/converters/models.py
+++ b/dkist/io/asdf/converters/models.py
@@ -49,7 +49,7 @@ def from_yaml_tree_transform(self, node, tag, ctx):
                 node["pc_table"] = u.Quantity(node["pc_table"].value, unit=u.pix)
 
         return varying_celestial_transform_from_tables(
-            crpix=node["crpix"],
+            crpix_table=node["crpix"],
             cdelt=node["cdelt"],
             lon_pole=node["lon_pole"],
             crval_table=node["crval_table"],
@@ -61,7 +61,7 @@ def from_yaml_tree_transform(self, node, tag, ctx):
 
     def to_yaml_tree_transform(self, model, tag, ctx):
         return {
-            "crpix": parameter_to_value(model.crpix),
+            "crpix": parameter_to_value(model.crpix_table),
             "cdelt": parameter_to_value(model.cdelt),
             "lon_pole": parameter_to_value(model.lon_pole),
             "crval_table": parameter_to_value(model.crval_table),
diff --git a/dkist/io/asdf/tests/test_models.py b/dkist/io/asdf/tests/test_models.py
index da88bfe3..fbe19ee0 100644
--- a/dkist/io/asdf/tests/test_models.py
+++ b/dkist/io/asdf/tests/test_models.py
@@ -16,7 +16,7 @@ def test_roundtrip_vct():
     varying_matrix_lt = [rotation_matrix(a)[:2, :2]
                          for a in np.linspace(0, 90, 10)] * u.pix
 
-    vct = VaryingCelestialTransform(crpix=(5, 5) * u.pix,
+    vct = VaryingCelestialTransform(crpix_table=(5, 5) * u.pix,
                                     cdelt=(1, 1) * u.arcsec/u.pix,
                                     crval_table=(0, 0) * u.arcsec,
                                     pc_table=varying_matrix_lt,
@@ -26,8 +26,8 @@ def test_roundtrip_vct():
     new_ivct = roundtrip_object(vct.inverse)
     assert isinstance(new_ivct, InverseVaryingCelestialTransform)
 
-    assert u.allclose(u.Quantity(new_vct.crpix), (5, 5) * u.pix)
-    assert u.allclose(u.Quantity(new_ivct.crpix), (5, 5) * u.pix)
+    assert u.allclose(u.Quantity(new_vct.crpix_table), (5, 5) * u.pix)
+    assert u.allclose(u.Quantity(new_ivct.crpix_table), (5, 5) * u.pix)
 
     assert u.allclose(u.Quantity(new_vct.pc_table), varying_matrix_lt)
     assert u.allclose(u.Quantity(new_ivct.pc_table), varying_matrix_lt)
@@ -43,7 +43,7 @@ def test_roundtrip_vct_2d():
     varying_matrix_lt = [rotation_matrix(a)[:2, :2] for a in np.linspace(0, 90, 15)] * u.pix
     varying_matrix_lt = varying_matrix_lt.reshape((5, 3, 2, 2))
 
-    vct = VaryingCelestialTransform2D(crpix=(5, 5) * u.pix,
+    vct = VaryingCelestialTransform2D(crpix_table=(5, 5) * u.pix,
                                       cdelt=(1, 1) * u.arcsec/u.pix,
                                       crval_table=(0, 0) * u.arcsec,
                                       pc_table=varying_matrix_lt,
@@ -53,8 +53,8 @@ def test_roundtrip_vct_2d():
     new_ivct = roundtrip_object(vct.inverse)
     assert isinstance(new_ivct, InverseVaryingCelestialTransform2D)
 
-    assert u.allclose(u.Quantity(new_vct.crpix), (5, 5) * u.pix)
-    assert u.allclose(u.Quantity(new_ivct.crpix), (5, 5) * u.pix)
+    assert u.allclose(u.Quantity(new_vct.crpix_table), (5, 5) * u.pix)
+    assert u.allclose(u.Quantity(new_ivct.crpix_table), (5, 5) * u.pix)
 
     assert u.allclose(u.Quantity(new_vct.pc_table), varying_matrix_lt)
     assert u.allclose(u.Quantity(new_ivct.pc_table), varying_matrix_lt)
@@ -70,7 +70,7 @@ def test_roundtrip_vct_slit():
     varying_matrix_lt = [rotation_matrix(a)[:2, :2]
                          for a in np.linspace(0, 90, 10)] * u.pix
 
-    vct = varying_celestial_transform_from_tables(crpix=(5, 5) * u.pix,
+    vct = varying_celestial_transform_from_tables(crpix_table=(5, 5) * u.pix,
                                                   cdelt=(1, 1) * u.arcsec/u.pix,
                                                   crval_table=(0, 0) * u.arcsec,
                                                   pc_table=varying_matrix_lt,
@@ -86,7 +86,7 @@ def test_roundtrip_vct_slit2d():
     varying_matrix_lt = [rotation_matrix(a)[:2, :2] for a in np.linspace(0, 90, 15)] * u.pix
     varying_matrix_lt = varying_matrix_lt.reshape((5, 3, 2, 2))
 
-    vct = varying_celestial_transform_from_tables(crpix=(5, 5) * u.pix,
+    vct = varying_celestial_transform_from_tables(crpix_table=(5, 5) * u.pix,
                                                   cdelt=(1, 1) * u.arcsec/u.pix,
                                                   crval_table=(0, 0) * u.arcsec,
                                                   pc_table=varying_matrix_lt,