adds a python script + short readme

Python/README

+scripts in this folder : 
+viewtfmap.py (+mynormalize) : reading and f\plotting from t-f map 
+(or t-ra) fits files written by visiavg
+
+cmp_simddat.py : to plot fitted and input tracks (visi vs time at some freq) used in the fitting of pointing & phase with satellites (and sources) 
+

Python/cmp_simddat.py

+from astropy.io import fits
+import numpy as np
+from matplotlib import pyplot as plt
+
+# use make_fig_scan(filename,numero_antenne,nombre_de_traces)
+# to get plots of all autocor visi comparision between 
+# data and fitted results from trkacxfit
+# this will also plot the difference (in gray, scale on the right)
+# unused tracks are alsor plotted
+
+# make_fig_scan_xc(filename,numero_antenne,nombre_de_traces)
+# plots of all cross-cor visi comparision between 
+# data and fitted results from trkacxfitc (real and imag part) 
+# this will also plot the difference (in gray, scale on the right)
+# for the real part 
+# unused tracks are alsor plotted
+
+
+
+
+#cx_1_check_gal.fits
+keynam='HIERARCH NOM_OBJET'
+
+
+def myplot_xcor(hdul,i):
+    plt.clf()
+    plt.plot(hdul[i].data,label='Real')
+    plt.plot(hdul[i+1].data,label='Imag')
+    plt.plot(hdul[i+2].data,label='simu(real)')
+    plt.plot(hdul[i+3].data,label='simu(imag)')
+    plt.legend()
+    
+
+def myplot_ac(hdul,i):
+    plt.clf()
+    print hdul[i].header[keynam]
+    print hdul[i+1].header[keynam]
+    plt.plot(hdul[i].data,label='Signal')
+
+    plt.plot(hdul[i+1].data,label='Simu')
+
+    plt.legend()
+    
+def get_num(nant,ntrk,tot):
+    ntims=tot
+    ntrks=2*tot
+    oft=(nant-1)*(ntrks)+ntims
+    print nant 
+    print 'oft ='+str(oft)
+    idt=2*(ntrk-1) # track no starts at 1
+    print "idt="+str(idt)
+    if nant==1 : #antenna no starts at 1
+        print idt
+        
+        idt = idt+ntrk #tims
+        print idt
+    else :
+        idt = idt+oft
+        print idt
+    return idt
+
+def get_num_cx(nant,ntrk,tot):
+    ntims=tot
+    ntrks=4*tot
+    oft=(nant-1)*(ntrks)+ntims
+    print nant 
+    print 'oft ='+str(oft)
+    idt=4*(ntrk-1) # track no starts at 1
+    print idt
+    if nant==1 : #antenna no starts at 1
+        print idt
+        
+        idt = idt+ntrk #tims
+        print idt
+    else :
+        idt = idt+oft
+        print idt
+    return idt
+    
+    
+def myplot_acn(hdul,nant,ntrk,tot):
+    i=get_num(nant,ntrk,tot)
+    plt.clf()
+    print hdul[i].header[keynam]
+    print hdul[i+1].header[keynam]
+    plt.plot(hdul[i].data,label='Signal')
+
+    plt.plot(hdul[i+1].data,label='Simu')
+
+    plt.legend()
+    
+def myplot_xcorn(hdul,nant,ntrk,tot):
+    i=get_num_cx(nant,ntrk,tot)
+    print hdul[i].header[keynam]
+    print hdul[i+1].header[keynam]
+    print hdul[i+2].header[keynam]
+    print hdul[i+3].header[keynam]
+    plt.clf()
+    plt.plot(hdul[i].data,label='Real')
+    plt.plot(hdul[i+1].data,label='Imag')
+    plt.plot(hdul[i+2].data,label='simu(real)',linestyle=":")
+    plt.plot(hdul[i+3].data,label='simu(imag)',linestyle=":")
+    plt.legend()
+
+ 
+def make_fig_scan(ffnam,ant,ntot):
+    hda=fits.open(ffnam)
+    nrows=np.int(np.sqrt(ntot))
+    ncols=ntot/nrows
+    ncols=ncols+ntot-ncols*nrows
+    print str(nrows)+ "  " +str(ncols)
+    #plt.figure(figsize=(20,17))
+    f, axarr = plt.subplots(nrows,ncols,figsize=(ncols*4,nrows*4))
+    axarf=axarr.flatten()
+    f.suptitle('Antenna '+str(ant))
+    for ip in np.arange(ntot):
+        i=get_num(ant,ip+1,ntot)
+        
+        print hda[i].header[keynam]
+        print hda[i+1].header[keynam]
+        axarf[ip ].plot(hda[i].data,label='Signal')
+        axarf[ip ].plot(hda[i+1].data,label='Simu')        
+        axarf[ip ].legend()
+        vscale=np.max(hda[i].data)-1.
+        vmin=1-0.2*vscale
+        vmax=(1.+vscale)*1.1
+        
+        axarf[ip ].set_ylim((vmin,vmax))
+        axarf[ip].set_title('Track '+str(ip))
+        axarf[ip].set(xlabel='time (mn)', ylabel='signal (AU)')
+        ax2 = axarf[ip].twinx()
+        ax2.plot(hda[i].data-hda[i+1].data,label='Data-Simu',color='gray')
+        ax2.set_ylim((-1,9))
+        ax2.legend(loc=2)
+        
+    plt.tight_layout()
+    plt.subplots_adjust(top=0.9)
+
+def make_fig_scan_xc(ffnam,ant,ntot):
+    hda=fits.open(ffnam)
+    nrows=np.int(np.sqrt(ntot))
+    ncols=ntot/nrows
+    ncols=ncols+ntot-ncols*nrows
+    print str(nrows)+ "  " +str(ncols)
+
+    f, axarr = plt.subplots(nrows,ncols,figsize=(ncols*4,nrows*4))
+    axarf=axarr.flatten()
+    f.suptitle('Antenna '+str(ant))
+    for ip in np.arange(ntot):
+
+        i=get_num_cx(ant,ip+1,ntot)
+        print hda[i].header[keynam]
+        print hda[i+1].header[keynam]
+        #axarf[ip ].plot(hda[i].data,label='Signal')
+        #axarf[ip ].plot(hda[i+1].data,label='Simu')
+        #axarf[ip ].legend()
+        axarf[ip ].plot(hda[i].data,label='Real')
+        axarf[ip ].plot(hda[i+1].data,label='Imag')
+        axarf[ip ].plot(hda[i+2].data,label='simu(real)',linestyle=":")
+        axarf[ip ].plot(hda[i+3].data,label='simu(imag)',linestyle=":")
+        axarf[ip ].legend()
+
+        vmaxr=np.max(hda[i].data)*1.2
+        vminr=np.min(hda[i].data)*1.2
+        vmaxi=np.max(hda[i+1].data)*1.2
+        vmini=np.min(hda[i+1].data)*1.2
+        vmax=np.max((vmaxr,vmaxi))
+        vmin=np.min((vminr,vmini))
+        
+        axarf[ip ].set_ylim((vmin,vmax))
+        axarf[ip].set_title('Track '+str(ip))
+        axarf[ip].set(xlabel='time (mn)', ylabel='signal (AU)')
+        ax2 = axarf[ip].twinx()
+        ax2.plot((hda[i].data-hda[i+2].data)/(vmax-vmin),label='Data-Simu (real)',color='gray')
+        ax2.set_ylim((-1,1))
+        ax2.legend(loc=3)
+        
+    plt.tight_layout()
+    plt.subplots_adjust(top=0.9)
+