update

scripts/03_grxe_flux.py

@@ -39,7 +39,6 @@ inkey="ALL"
 
 
 
-sigma=3
 plotme=False
 
 ebands0={
@@ -51,7 +50,6 @@ ebands0={
 
 if len(sys.argv) > 1:
     skeys = [sys.argv[1]]
-    #simfrac = int(sys.argv[2])
 else:
     skeys = list(skyreg.keys())
 
@@ -67,24 +65,13 @@ with open(ignored_rev_file, 'rb') as fp:
     print("{} orbits ignored".format(len(ignored_rev)))
     ign=ignored_rev.tolist()
 
-
-
-
-
 for skey in skeys:
     if not skey in skyreg.keys():
         print("{} not found in {}".format(skey,list(skyreg.keys())))
         sys.exit()
 
-    # generate array for bootstrap
-    ebands_sim={}
-    for enkey in ebands0.keys():
-        ebands_sim[enkey] = []
 
     for enkey in ebands0.keys():
-        #bkg_fn="detcnts.{}.BKG.resid.fits".format(enkey,inkey)
-        #syserr, bkg_sem = get_syserror(proddir+bkg_fn)
-        
         fn="detcnts.{}.{}.resid.fits".format(enkey,inkey)
         print("Reading {}".format(proddir+fn))
         dat = Table.read(proddir+fn, unit_parse_strict='silent')
@@ -113,13 +100,6 @@ for skey in skeys:
         ebands0[enkey]=[sg_mean,sg_sem]
 
 
-        
-        nsel = int(df.shape[0]*simfrac/100)
-        for n in range(nsim):
-            df0=df.sample(nsel)
-            sg_mean,sg_sem,skew_val,skew_err = get_spec(df0, grxe_err_cut=grxe_err_cut, skey=skey, enkey=enkey)
-            ebands_sim[enkey].append(sg_mean)           
-    ###
     fspec="{}{}.dat".format(fluxdir,skey)
     with open(fspec, 'w') as fp:
         for enkey in ebands0.keys():
@@ -129,33 +109,6 @@ for skey in skeys:
             fp.write("{} {} {} {:.6f} {:.6f}\n".format(skey,enkey,bands[enkey],flux,err))    
     
 
-    ###
-    fspec="{}{}.sim{:02d}.dat".format(fluxdir,skey,simfrac)
-    with open(fspec, 'w') as fp:
-        for enkey in ebands_sim.keys():
-            data=ebands_sim[enkey]
 
-            (mu, sg) = norm.fit(data)
-            fp.write("{:02d} {} {} {} {:.6f} {:.6f}\n".format(simfrac,skey,enkey,bands[enkey],mu,sg))    
-            print("[BOOT] {}: {} {:.6f} {:.6f}".format(skey,enkey,mu,sg))
-
-            if(plotme):
-                n, bins, patches = plt.hist(data, 60, density=True, facecolor='green', alpha=0.75)
-                # add a 'best fit' line
-                y = norm.pdf(bins, mu, sg)
-                l = plt.plot(bins, y, 'r--', linewidth=2)
-                #plot
-                plt.axvline(mu, color="black")
-                plt.axvline(ebands0[enkey][0], color="black", linestyle="dashed")
-                #plt.axvline(mu+sg_sem, color="black", linestyle="dashed")
-                #plt.axvline(mu-sg_sem, color="black", linestyle="dashed")
-                plt.axvline(mu+sg, color="blue", linestyle="dashed")
-                plt.axvline(mu-sg, color="blue", linestyle="dashed")
-
-                plt.xlabel('Flux, mCrab')
-                plt.ylabel('Probability')
-                plt.title("[BOOT] {}: {:.2f} {:.2f}".format(enkey, mu, sg))
-                plt.grid(True)
-                plt.show()