PlotSpectrumData: add "flatten_mu" to the possible Y values (take by default)

src/est/core/process/larch/pre_edge.py

@@ -61,7 +61,6 @@ def process_spectr_pre_edge(
         "leexiang",
         "tables",
         "fit_erfc",
-        "make_flat",
     ):
         if opt_name in _conf:
             opts[opt_name] = _conf[opt_name]

src/est/core/process/plotspectrumdata.py

@@ -5,6 +5,7 @@ from ewokscore import Task
 _Y_TO_X_NAME = {
     "mu": "energy",
     "normalized_mu": "energy",
+    "flatten_mu": "energy",
     "chi": "k",
     "ft": "ft",
     "noise_savgol": "energy",
@@ -13,6 +14,7 @@ _LABELS = {
     "energy": "Energy (eV)",
     "mu": "μ",
     "normalized_mu": "Norm(μ)",
+    "flatten_mu": "Norm(μ)",
     "chi": "k^{kweight} χ(k) (Å^-{kweight})",
     "ft": "|χ(k)| (Å^-{kweightp1})",
     "k": "Wavenumber (Å^-1)",
@@ -29,7 +31,7 @@ def process_plotspectrumdata(
 
     plot_data = dict()
     if not plot_names:
-        plot_names = ("normalized_mu", "chi", "ft", "noise_savgol")
+        plot_names = ("flatten_mu", "chi", "ft", "noise_savgol")
 
     for yname in plot_names:
         ylabel = _LABELS[yname]

src/est/tests/test_plotspectrumdata.py

@@ -53,12 +53,12 @@ def test_larch_plotspectrumdata(filename_cu_from_pymca):
         {
             "id": "plotdata",
             "name": "plot_names",
-            "value": ("normalized_mu", "mu", "chi", "ft", "noise_savgol"),
+            "value": ("flatten_mu", "normalized_mu", "mu", "chi", "ft", "noise_savgol"),
         }
     )
 
     result = execute_graph(_LARCH_WORKFLOW, inputs=inputs)
-    assert len(result["plot_data"]) == 5
+    assert len(result["plot_data"]) == 6
     for name, data in result["plot_data"].items():
         if name == "chi":
             n = 324