[fragdisk] [galactica] add some scripts options

fragdisk_galactica.py

@@ -41,6 +41,21 @@ from plotter import Plotter
 from pp_params import default_params
 from ramses_astrophysix import ramses
 
+
+# ---------------------------------------------- Global parameters ------------------------------------------ #
+
+# groups = ["jr13_tic"]
+groups = ["jr11", "jr12", "jr12_tic", "jr13_tic"]
+keep_plot_info = False
+include_hdf5 = True
+replot = True
+nml_key = "cloud_params/beta_cool"
+select = {
+    "time": 4.5,
+    #    "filter_nml" : (nml_key, "=", 8),
+}
+
+
 pp_params = default_params()
 pp_params.input.nml_filename = "disk.nml"
 pp_params.pymses.map_size = 2048
@@ -58,8 +73,6 @@ out_dir = "/dsm/anais/storageA/nbrucy/visus/fragdisk/mnras"
 in_dir_conv = "/drf/projets/alfven-data/nbrucy/simus/conv_disk"
 out_dir_conv = "/dsm/anais/storageA/nbrucy/visus/conv_disk"
 
-nml_key = "cloud_params/beta_cool"
-
 
 # ---------------------------------------------- Project creation ------------------------------------------ #
 # Available project categories are :
@@ -228,8 +241,6 @@ Sigma_u = U.Unit.create_unit(
 
 # ---- Runs  -----
 
-groups = ["jr11", "jr12", "jr12_tic", "jr13_tic"]
-# groups = ["jr13_tic"]
 pls = []
 
 for group in groups:
@@ -317,7 +328,6 @@ for group in groups:
 
 # -------------------------------------------------------------------------------------------------------------------- #
 
-redo = True
 for pl in pls:
     pl.pp_params.process.verbose = True
     pl.comp.pp_params.process.verbose = True
@@ -329,11 +339,6 @@ for pl in pls:
 # -------------------------------------------------------------------------------------------------------------------- #
 
 
-select = {
-    "time": 4.5,
-    #    "filter_nml" : (nml_key, "=", 8),
-}
-
 for pl in pls:
     # Edit descriptions
     pl.rules["slice_rho"].description = "Density slice"
@@ -349,7 +354,7 @@ for pl in pls:
 
     # define plot parameters
     map_kwargs = {
-        "overwrite": redo,
+        "overwrite": replot,
         "overwrite_dep": False,
         "unit_space": rd,
         "center_space": True,
@@ -396,8 +401,6 @@ for pl in pls:
     pl.slice_rho("z", **rho_kwargs)
     pl.slice_rho("y", **rho_kwargs)
 
-    pl.slice_P("z", **P_kwargs)
-
     pl.slice_velr(
         "z",
         label=r"$v_r$",
@@ -406,10 +409,13 @@ for pl in pls:
         **vel_kwargs,
     )
     pl.slice_velphi("z", label=r"$v_\varphi$", **vel_kwargs)
+    pl.slice_velx("z", label=r"$v_x$", **vel_kwargs)
+
+    pl.slice_P("z", **P_kwargs)
 
     pl.pdf_coldens(
         "z",
-        overwrite=redo,
+        overwrite=replot,
         overwrite_dep=False,
         unit_time=orp,
         nml_key="cloud_params/beta_cool",
@@ -461,12 +467,14 @@ for simu in proj.simulations:
         for df in snap.datafiles:
             name = df[FileType.JPEG_FILE].filename
             name = os.path.splitext(name)[0] + ".h5"
-            h5 = h5py.File(out_dir + "/" + name, "w")
-            p = h5.create_group("plot")
-            df.plot_info.hsp_save_to_h5(p)
-            h5.close()
-            df[FileType.HDF5_FILE] = out_dir + "/" + name
-            df.plot_info = pi
+            if include_hdf5 and not df.name in ["slice_velphi_z", "slice_velr_z"]:
+                h5 = h5py.File(out_dir + "/" + name, "w")
+                p = h5.create_group("plot")
+                df.plot_info.hsp_save_to_h5(p)
+                h5.close()
+                df[FileType.HDF5_FILE] = out_dir + "/" + name
+            if not keep_plot_info:
+                df.plot_info = pi
 
 # Trim parameters name
 for param in ramses.input_parameters: