[doc] add measure_density_matrix to all cthyb tutorial using tail_fit

doc/tutorials/images_scripts/Sr2MgOsO6_SOC.py

@@ -49,6 +49,9 @@ p["perform_tail_fit"] = True
 p["fit_max_moment"] = 4
 p["fit_min_w"] = 4.0
 p["fit_max_w"] = 8.0
+# measure impurity density matrix to get self-energy moments for improved tail fit
+p["measure_density_matrix"] = True
+p["use_norm_as_weight"] = True
 
 # double counting correction:
 dc_type = 0  # FLL

doc/tutorials/images_scripts/Sr2MgOsO6_noSOC.py

@@ -52,6 +52,9 @@ p["perform_tail_fit"] = True
 p["fit_max_moment"] = 4
 p["fit_min_n"] = 30
 p["fit_max_n"] = 70
+# measure impurity density matrix to get self-energy moments for improved tail fit
+p["measure_density_matrix"] = True
+p["use_norm_as_weight"] = True
 
 # double counting correction:
 dc_type = 0  # FLL

doc/tutorials/images_scripts/dft_dmft_cthyb.py

@@ -43,6 +43,9 @@ p["perform_tail_fit"] = True
 p["fit_max_moment"] = 4
 p["fit_min_n"] = 30
 p["fit_max_n"] = 60
+# measure impurity density matrix to get self-energy moments for improved tail fit
+p["measure_density_matrix"] = True
+p["use_norm_as_weight"] = True
 
 # If conversion step was not done, we could do it here. Uncomment the lines it you want to do this.
 #from triqs_dft_tools.converters.wien2k import *

doc/tutorials/nio_csc_vasp/nio.py

@@ -73,6 +73,7 @@ p["fit_max_moment"] = 4
 p["fit_min_w"] = 20
 p["fit_max_w"] = 30
 p["perform_tail_fit"] = True
+# measure impurity density matrix to get self-energy moments for improved tail fit
 p["measure_density_matrix"] = True
 p["use_norm_as_weight"] = True
 

doc/tutorials/nio_csc_vasp/nio_csc.py

@@ -79,10 +79,10 @@ def dmft_cycle():
     p["fit_min_w"] = 20
     p["fit_max_w"] = 30
     p["perform_tail_fit"] = True
+    # measure impurity density matrix to get self-energy moments for improved tail fit
     p["measure_density_matrix"] = True
     p["use_norm_as_weight"] = True
 
-
     # Double Counting: 0 FLL, 1 Held, 2 AMF
     DC_type = 0
     DC_value = 59.0

doc/tutorials/sr2mgoso6_nosoc.rst

@@ -158,6 +158,9 @@ Now we have the interaction Hamiltonian for the solver, which we set up next::
     p["fit_max_moment"] = 4
     p["fit_min_n"] = 40
     p["fit_max_n"] = 100
+    # measure impurity density matrix to get self-energy moments for improved tail fit
+    p["measure_density_matrix"] = True
+    p["use_norm_as_weight"] = True
 
 
 The DMFT loop with automatic basis rotations

doc/tutorials/sr2mgoso6_soc.rst

@@ -156,6 +156,9 @@ Now we have the interaction Hamiltonian for the solver, which we set up next::
     p["fit_max_moment"] = 4
     p["fit_min_w"] = 4.0
     p["fit_max_w"] = 8.0
+    # measure impurity density matrix to get self-energy moments for improved tail fit
+    p["measure_density_matrix"] = True
+    p["use_norm_as_weight"] = True
 
 
 The DMFT loop with automatic basis rotations

doc/tutorials/srvo3.rst

@@ -124,6 +124,9 @@ of parameters for a first guess is::
   p["fit_max_moment"] = 4
   p["fit_min_n"] = 30
   p["fit_max_n"] = 60
+  # measure impurity density matrix to get self-energy moments for improved tail fit
+  p["measure_density_matrix"] = True
+  p["use_norm_as_weight"] = True
 
 Here we use a tail fit to deal with numerical noise of higher Matsubara frequencies.
 For other options and more details on the solver parameters, we refer the user to

doc/tutorials/svo_elk/srvo3.rst

@@ -85,6 +85,9 @@ We also have to specify the `CTHYB solver <https://triqs.github.io/cthyb/latest>
   p["fit_max_moment"] = 4
   p["fit_min_n"] = 30
   p["fit_max_n"] = 60
+  # measure impurity density matrix to get self-energy moments for improved tail fit
+  p["measure_density_matrix"] = True
+  p["use_norm_as_weight"] = True
 
 Here we use a tail fit to deal with numerical noise of higher Matsubara frequencies. For other options and more details on the solver parameters, we refer to the `CTHYB solver <https://triqs.github.io/cthyb/latest/reference/constr_parameters.html>`_ documentation. It is important to note that the solver parameters have to be adjusted for each material individually. A guide on how to set the tail fit parameters is given :ref:`below <tailfit>`.