README.md

@@ -112,7 +112,7 @@ options:
      Input parameters:
        * `'do_whitefield_correction': 1/0` - Specifies whether to do in-place white field correction.
        * `'wf_data_file': str` - Path to the hdf5 file with corrected white field image.
-       * `'wf_dataset': str` - Name of the dataset containing white field image in the hdf5 file.
+       * `'wf_dataset': str` [Optional] - Name of the dataset containing white field image in the hdf5 file, default is `"data/data"`.
        * `'wf_method': 'div'|'sub'` - Method of white field correction - either division or subtraction is supported.
 
      Algorithm Output:

dap/algos/whitefield_correction.py

@@ -53,11 +53,12 @@ def calc_apply_whitefield_correction(results, data):
               f"{params_required=}")
         return
 
+    wf_dataset = results.get("wf_dataset", "data/data")
     # TODO: cache white field data, only reload if file changed
     #  maybe store checksum in results as "_checksum"
     try:
         with h5py.File(wf_data_file, "r") as wfile:
-            whitefield_image = np.asarray(wfile["data/data"])
+            whitefield_image = np.asarray(wfile[wf_dataset])
     except Exception as error:
         print(f"ERROR: Can't read whitefield from file {wf_data_file}. Skipping\n"
               f"{error=}")