fixed the mpb autonaming quirk

example_1D_dielectric_slabs/batch.sh

@@ -10,6 +10,7 @@ mkdir data -p
 #for rr in 0 3000 10000 12000
 rr=10000
 
+#for ee in `seq 1 1 20`
 for ee in `seq 1 1 20`
 do
 	## Prepare and print the parameters that are used in IFC.ctl to define the structure
@@ -19,8 +20,8 @@ do
     ## Generate IFC and fields (at Gamma, X and M points)
 	mpb $param ../compute_dispersion_and_modes.ctl | grep kgrid > freq.csv
     cp freq.csv data/freq_`echo $param | tr ' ' '_'`.csv
-	mpb-data -m 2 [eh].*h5 
-	mpb-data -m 2 epsilon.h5
+	mpb-data -m 2 compute_dispersion_and_modes-*h5 
+	mpb-data -m 2 compute_dispersion_and_modes-epsilon.h5
 
 	## Plot the results
 	python ../plot_dispersion_and_modes.py $param 
@@ -29,7 +30,7 @@ do
 	#python ../HxHyEz_plot.py  [e].*h5 [h].*h5 [h].*h5
 
 	## Clean up
-    rm -r [eh].*h5
+    rm -r compute_dispersion_and_modes-*h5
 done
 
 

plot_dispersion_and_modes.py

@@ -26,6 +26,7 @@
 import matplotlib.cm as cm
 
 filename = "freq.csv"
+ctlscript = "compute_dispersion_and_modes-" ## what is prepended to *.h5 files; try empty if simulation fails to find them
 bandnumber = 6
 cellspacing = 100e-6
 fcoef = c / cellspacing
@@ -76,16 +77,16 @@ def plot_IFC(Kx, Ky, freqs):#{{{
     plt.grid(True)
 #}}}
 def generate_filenames(k=1, band=1, pol='tm'):#{{{
-    file_Ez = 'e.k%02d.b%02d.z.%s.h5' % (k, band, pol)
-    file_Hx = 'h.k%02d.b%02d.x.%s.h5' % (k, band, pol)
-    file_Hy = 'h.k%02d.b%02d.y.%s.h5' % (k, band, pol)
+    file_Ez = '%se.k%02d.b%02d.z.%s.h5' % (ctlscript, k, band, pol)
+    file_Hx = '%sh.k%02d.b%02d.x.%s.h5' % (ctlscript, k, band, pol)
+    file_Hy = '%sh.k%02d.b%02d.y.%s.h5' % (ctlscript, k, band, pol)
     return file_Ez, file_Hx, file_Hy
 #}}}
 def plot_mode(file1, file2, file3, title='', plot_vectors=True):#{{{
     #print "---------"
     #print h5py.File('epsilon.h5', "r").keys()
     #print h5py.File(file2, "r").keys()
-    eps = np.array(h5py.File('epsilon.h5', "r")['data-new'])
+    eps = np.array(h5py.File('%sepsilon.h5' % ctlscript, "r")['data-new'])
     Ez_data = np.array(h5py.File(file1, "r")['z.i-new'])
     Hx_data = np.array(h5py.File(file2, "r")['x.r-new'])
     Hy_data = np.array(h5py.File(file3, "r")['y.r-new'])