diff --git a/omas/machine_mappings/d3d.json b/omas/machine_mappings/d3d.json
index 63ee928b..92809b6c 100644
--- a/omas/machine_mappings/d3d.json
+++ b/omas/machine_mappings/d3d.json
@@ -724,6 +724,9 @@
  "magnetics.ip.:.data_error_upper": {
   "PYTHON": "ip_bt_dflux_data(ods, {pulse})"
  },
+ "magnetics.ip.:.method_name": {
+  "PYTHON": "ip_bt_dflux_data(ods, {pulse})"
+ },
  "magnetics.ip.:.time": {
   "PYTHON": "ip_bt_dflux_data(ods, {pulse})"
  },
diff --git a/omas/machine_mappings/d3d.py b/omas/machine_mappings/d3d.py
index 2c694551..e13c0cfc 100644
--- a/omas/machine_mappings/d3d.py
+++ b/omas/machine_mappings/d3d.py
@@ -1787,7 +1787,8 @@ def magnetics_floops_data(ods, pulse, store_differential=False, nref=0):
             # Relative uncertainty from EFIT (probably an overestimate for error in compensations)
             rel_error = 0.03 * abs(ods[f'magnetics.flux_loop.{k}.flux.data'])
             # Approximate error in the flux loop positions estimated with DIII-D parameters (often largest error term)
-            position_error = 1.e-9 * ods[f'magnetics.flux_loop.{k}.position.0.r'] * abs(Ip)
+            # Needs to use ods1 here since the position is not in ods
+            position_error = 1.e-9 * ods1[f'magnetics.flux_loop.{k}.position.0.r'] * abs(Ip)
             # Use whichever error source is largest (this is how it is treated in EFIT)
             ods[f'magnetics.flux_loop.{k}.flux.data_error_upper'] = np.fmax.reduce([digi_error, rel_error, position_error])