Remove post-fit L/N conversions from polymer_fit.py (handled in .fit() now).

diff --git a/hooke/plugin/polymer_fit.py b/hooke/plugin/polymer_fit.py
index f4afb2a486210dc68c549a56ab8e24e322f29a88..2ea503c58af398687463711674397e23b4008537 100644 (file)
--- a/hooke/plugin/polymer_fit.py
+++ b/hooke/plugin/polymer_fit.py
@@ -1011,8 +1011,7 @@ Name (without units) for storing the fit parameters in the `.info` dictionary.
             a = info['Kuhn length (m)']
         else:
             a = params[1]
-        Lp = params[0]
-        L = model.L(Lp)
+        L = params[0]
         T = info['temperature (K)']
         fit_info = queue.get(block=False)
         f_data = numpy.ones(z_data.shape, dtype=z_data.dtype) * numpy.nan
@@ -1039,8 +1038,7 @@ Name (without units) for storing the fit parameters in the `.info` dictionary.
             a = info['Kuhn length (m)']
         else:
             a = params[1]
-        Nr = params[0]
-        N = model.L(Nr)
+        N = params[0]
         T = info['temperature (K)']
         fit_info = queue.get(block=False)
         f_data = numpy.ones(z_data.shape, dtype=z_data.dtype) * numpy.nan
@@ -1066,8 +1064,7 @@ Name (without units) for storing the fit parameters in the `.info` dictionary.
             p = info['persistence length (m)']
         else:
             p = params[1]
-        Lp = params[0]
-        L = model.L(Lp)
+        L = params[0]
         T = info['temperature (K)']
         fit_info = queue.get(block=False)
         f_data = numpy.ones(z_data.shape, dtype=z_data.dtype) * numpy.nan