def histo1D(tF, histn, title, log, rleft=0, rright=0, xlabel='log10(r) [m]', ylabel='#N', rfac=1):
f = TFile(tF)
histoAll1D=f.Get(histn)
h, redges = ToNumpy(histoAll1D)
h, redges = binReduce1D(h, redges, rfac)
if rright-rleft == 0: #no bounds set
plt.xlim(min(redges), max(redges))
else: #bounds set
plt.xlim(min(rleft), max(rright))
if log=="log":
plt.xlabel('log10(r) [m]')
plt.ylabel('#N')
else:
plt.xlabel('r [m]')
plt.ylabel('dN/rdr')
plt.title(title)
plot_hist(redges,h) #pyik!
#plt.semilogy(nonposy="clip")
#bins = 0.5*(redges[1:] + redges[:-1])
#plt.plot(bins, h) #smooth
#plt.show()
### Resolution ###
binsiz = np.zeros(redges.size-1)
for i in xrange(binsiz.size):
binsiz[i] = 10**redges[i+1]-10**redges[i]
def histoLat(self,hname,ax,b=None):
#todo ueberlegen was man hier braucht!
if b is None: b = self
xmin, xmax = ax.get_xlim()
msk = (xmin<self.xedges[:-1])*(self.xedges[:-1]<xmax)
ws = self.means[hname]/self.lb.area(hname) #density
v=ws[msk]
vsort = sorted(v)
for i in np.arange(len(vsort)):
if (vsort[i]>0):
vmin = vsort[i]
break
vmax = v.max()
if (self.par in ['r','L','E']):
vmax = vmax*10.
vmin = vmin*0.1
if (vmin <= self.ymin and vmin>0):
self.ymin = vmin
if (vmax >= self.ymax):
self.ymax = vmax
#labels
lb = r"$r/\mathrm{m}$ = "+self.lb.labels(hname)[0] #murks, wie geht das richtig???
#plotting
plot_hist(xedges=self.xedges,ws=ws,axes=ax,label=lb)
def histoLat(self,hname,ax,b=None):
if b is None: b = self
if (self.par in ['r','L','E','LM']): #todo also for M?
xmin, xmax = ax.get_xlim()
msk = (xmin<self.xedges[:-1])*(self.xedges[:-1]<xmax)
if (self.par in ['r','L','LM']):
ws = self.means[hname]/self.area #density
elif (self.par == 'E'):
ws = self.means[hname]/self.lb.area(hname) #density
v=ws[msk]
vsort = sorted(v)
for i in np.arange(len(vsort)):
if (vsort[i]>0):
vmin = vsort[i]
break
vmax = v.max()
if (self.par in ['r','L','E']):
vmax = vmax*10.
vmin = vmin*0.1
if (vmin <= self.ymin and vmin>0):
self.ymin = vmin
if (vmax >= self.ymax):
self.ymax = vmax
### color code for plotting ###
if (self.par in ['X','L','M','LM']):
if (self.primary=='proton'):
c='c'
elif (self.primary=='carbon'):
c='r'
elif (self.primary=='iron'):
c='b'
elif (self.primary=='helium'):
c='m'
elif (self.primary=='nitrogen'):
c='y'
elif (self.primary=='silicon'):
c='g'
### Plot X ###
if (self.par == 'X'):
points = (np.vstack((self.xMax[hname],np.log10(self.hSum[hname])))).T
innerpoints, hullpoints = Quantile(points,.684)
hullpoints = np.vstack((hullpoints, hullpoints[0]))
#f2 = interp1d(x, y, kind='cubic')
ax.plot(hullpoints[:,0], hullpoints[:,1], 'k-', c=c)
ax.scatter(points[:,0], points[:,1], marker='o', c=c,alpha=0.5, lw=0, s=6)
ax.scatter(hullpoints[:,0], hullpoints[:,1], marker='o', c=c, lw=0, s=6, label=self.primary)
ax.scatter(innerpoints[:,0], innerpoints[:,1], marker='o', c=c, lw=0, s=6)
vy = np.log10(self.hSum[hname])
vx = self.xMax[hname]
vysort = sorted(vy)
vxsort = sorted(vx)
vymax = vy.max()
vxmax = vx.max()
for i in np.arange(len(vysort)):
if (vysort[i]>0):
vymin = vysort[i]
break
for i in np.arange(len(vxsort)):
if (vxsort[i]>0):
vxmin = vxsort[i]
break
if (self.primary == 'proton'): #hack!!!! does not work with iron 10**20 !
ymin = vymin
xmin = vxmin
ymax = vymax
xmax = vxmax
else:
ymin, ymax = ax.get_ylim()
xmin, xmax = ax.get_xlim()
if (vymin <= ymin and vymin>0):
ymin = vymin
if (vxmin <= xmin and vxmin>0):
xmin = vxmin
if (vymax >= ymax):
ymax = vymax
if (vxmax >= xmax):
xmax = vxmax
ax.set_ylim(ymin,ymax)
ax.set_xlim(xmin,xmax)
### Plot r,E,L ###
else:
#labels
if (self.par == 'r'):
if (self.particle == 'muon'):
lb = r"$E_{\mu}/\mathrm{GeV} \geq\ $"+self.lb.labels(hname)[0]
elif (self.particle == 'electron'):
lb = r"$E_e/\mathrm{MeV} \geq\ $"+self.lb.labels(hname)[0]
elif (self.particle == 'photon'):
lb = r"$E_{\gamma}/\mathrm{MeV} \geq\ $"+self.lb.labels(hname)[0]
elif (self.par == 'E'):
lb = r"$r/\mathrm{m}$ = "+self.lb.labels(hname)[0] #murks, wie geht das richtig???
elif (self.par == 'L'): #todo anders loesen???
if (hname == "histoGa0MeV1D"):
lb = r'$\gamma$'
elif (hname == "histoE0MeV1D"):
lb = r'$e^{\pm}$'
elif (hname == "histoMu0GeV1D"):
lb = r'$\mu^{\pm}$'
elif (hname == "histoRest0GeV1D"):
lb = 'rest'
#plotting
if (self.par == 'L'):
if (self.rnge=='all'): #plot e,mu,ga and REST
cond = (hname != "histoAll1D")
elif (self.rnge=='zoom'): #only plot e,mu,ga
cond = (hname != "histoAll1D" and hname != "histoRest0GeV1D")
if cond:
xmeans = self.xmeans[hname]
means = self.means[hname]/self.area
stds = self.stds[hname]/self.area
if (hname == "histoMu0GeV1D"):
ax.plot(xmeans,means,label=str(self.primary),lw=0.5,color=c)
else:
ax.plot(xmeans,means,lw=0.5,color=c)
positive = means-stds > 0
ax.fill_between(xmeans,means-stds,means+stds,where=positive,color=c,alpha=.4)
if (self.primary == 'proton'):
#ax.annotate(lb, xy=None, xytext=((self.xmeans[hname])[20],(self.means[hname])[20]+2*(self.stds[hname])[20]), xycoords='data',textcoords='data', arrowprops=None, **kwargs)
#annotate(lb, xy=((self.xmeans[hname])[20],(self.means[hname])[20]+2*(self.stds[hname])[20]), xytext=None, xycoords='data',textcoords='data', arrowprops=None, **kwargs)
ax.text(xmeans[75],means[75]+3*stds[75],lb,fontsize=20)
elif (self.par == 'LM'):
xmeans = self.xmeans[hname]
means = self.means[hname]/self.area
stds = self.stds[hname]/self.area
#set_trace()
ax.plot(xmeans,means,label=str(self.primary),lw=1,color=c)
positive = means-stds > 0
ax.fill_between(xmeans,means-stds,means+stds,where=positive,color=c,alpha=.4)
elif (self.par == 'M'):
xmeans1 = self.xmeans[hname]
means1 = self.means[hname]/self.area
stds1 = self.stds[hname]/self.area
xmeans2 = b.xmeans[hname]
means2 = b.means[hname]/b.area
stds2 = b.stds[hname]/b.area
y = (self.means[hname]-b.means[hname])/np.sqrt(self.stds[hname]**2+b.stds[hname]**2)
#y = (means1-means2)/np.sqrt(stds1**2+stds2**2)
#print "np.sqrt(stds1**2+stds2**2)", np.sqrt(stds1**2+stds2**2)
#print "std "+str(self.primary), stds1
#print "std "+str(b.primary), stds2
#print "meandiff", means1-means2
#print str(self.primary), means1
#print str(b.primary), means2
prims = {'proton': 'p', 'iron': 'Fe', 'helium': 'He', 'nitrogen': 'Ni', 'carbon': 'C', 'silicon': 'Si'}
lb = prims[self.primary]+" - "+prims[b.primary]
if (b.primary in ['nitrogen','carbon']): c='c'
if (b.primary == 'silicon'): c='y'
ax.plot(xmeans1,y,lw=2,color=c,label=lb)
else: #i.e. E or r
plot_hist(xedges=self.xedges,ws=ws,axes=ax,label=lb)
