def run(tel, simulatedevent):
	[sigdensity, sigerror], [bkgdensity, bkgerror], [recondensity, reconerror] = ld.run(tel.coredistance, simulatedevent.epn, simulatedevent.Z, tel.scaledrmax, simulatedevent.efficiency)

	rawsigcount = tel.area * sigdensity
	rawbkgcount = tel.area * bkgdensity
	rawreconcount = tel.area * recondensity

	#~ print int(rawsigcount), int(rawbkgcount), sigerror, bkgerror
	return rawsigcount, rawbkgcount, sigerror, bkgerror, rawreconcount, reconerror
Пример #2
0
def run(tel, simulatedevent):
    [sigdensity,
     sigerror], [bkgdensity,
                 bkgerror], [recondensity, reconerror
                             ] = ld.run(tel.coredistance, simulatedevent.epn,
                                        simulatedevent.Z, tel.scaledrmax,
                                        simulatedevent.efficiency)

    rawsigcount = tel.area * sigdensity
    rawbkgcount = tel.area * bkgdensity
    rawreconcount = tel.area * recondensity

    #~ print int(rawsigcount), int(rawbkgcount), sigerror, bkgerror
    return rawsigcount, rawbkgcount, sigerror, bkgerror, rawreconcount, reconerror
Пример #3
0
def run(eff,
        rowcount=5,
        mincount=4,
        text=False,
        graph=False,
        output="default",
        layout="five",
        number=1,
        nh=1):

    ax3 = plt.subplot(313)

    #Define number of bins, maximum Epn

    Rmax = 100
    zvalues = np.linspace(20, 32, 3)

    #Iterate over Energies

    for Z in zvalues:
        #For a given Energy, iterate over n randomly simulated events

        sdensity = []
        sigupper = []
        siglower = []

        rrange = np.linspace(0, 2 * Rmax, 100)

        for r in rrange:

            [sig, sigerror], [bkg, bkgerror] = ld.run(r, 0, Z, Rmax, eff)

            if sig > 0:
                sdensity.append(sig)
            else:
                sdensity.append(0.01)

            su = sig * (1 + sigerror)
            sl = sig * (1 - sigerror)
            sigupper.append(su)
            siglower.append(sl)

        label = "Z = " + str(Z)

        line = ax3.plot(rrange, sdensity, label=label)
        linecolor = line[0].get_color()
        ax3.fill_between(rrange,
                         siglower,
                         sigupper,
                         color=linecolor,
                         alpha=0.25)

    ax3.set_ylim(bottom=0.1)
    ax3.tick_params(labelsize=20)
    plt.yscale('log')
    plt.ylabel('Photons per m$^2$', fontsize=20)
    plt.xlabel('Radius (m)', fontsize=20)
    plt.title('No background DC light, Rmax=100', fontsize=20)

    plt.legend(loc=2)

    ax1 = plt.subplot(311)
    ax2 = plt.subplot(312)

    #Define number of bins, maximum Epn

    Z = 26

    eraw = np.linspace(0.0, 1.0, num=3)
    R = eraw * 0.0178
    Erange = ((1.7 * R / 321) + (3571**-1.7))**(-1 / 1.7)

    Erange = [3571, 850]

    height = 22000
    Z = 26

    colors = ['r', 'g', 'b']

    for i in range(0, len(Erange)):

        Epn = Erange[i]

        rmax, theta = cr.run(Epn, height, sinphi=1, text=False)

        color = colors[i]

        density = []

        sigdensity = []
        sigupper = []
        siglower = []

        bkgdensity = []
        bkgupper = []
        bkglower = []

        rrange = np.linspace(0, 2.0 * rmax, 100)

        for r in rrange:

            [sig, sigerror], [bkg, bkgerror] = ld.run(r, Epn, Z, rmax, eff)

            if sig > 0.0:
                sigdensity.append(sig)
            else:
                sigdensity.append(0.01)

            su = sig * (1 + sigerror)
            sl = sig * (1 - sigerror)
            sigupper.append(su)
            siglower.append(sl)

            if bkg > 0:
                bkgdensity.append(bkg)
            else:
                bkgdensity.append(0.01)

            bu = bkg * (1 + bkgerror)
            bl = bkg * (1 - bkgerror)
            bkgupper.append(bu)
            bkglower.append(bl)

        label = "Epn = " + str(Epn)

        ax1.plot(rrange, bkgdensity, 'x', color=color)
        ax1.fill_between(rrange, bkglower, bkgupper, color=color, alpha=0.25)
        ax2.plot(rrange, sigdensity, '--', color=color)
        ax2.fill_between(rrange, siglower, sigupper, color=color, alpha=0.25)

    for ax in [ax1, ax2]:
        ax.set_yscale('log')
        ax.set_ylabel('Photons per m$^2$', fontsize=20)
        ax.set_xlabel('Radius (m)', fontsize=20)
        ax.set_title('Height = ' + str(height) + ', Z = 26', fontsize=20)
        ax.tick_params(labelsize=20)
        ax.set_ylim(bottom=0.1)

    plt.suptitle("Lateral Photon Distribution in DC pixel", fontsize=20)

    figure = plt.gcf()  # get current figure
    figure.set_size_inches(15, 25)

    saveto = '/d6/rstein/Hamburg-Cosmic-Rays/positioning/graphs/stats/Light.pdf'
    print "Saving to", saveto
    plt.savefig(saveto)

    if graph:
        plt.show()
    plt.close()
def run(eff, rowcount=5, mincount=4, text=False, graph=False, output="default", layout="five", number=1, nh=1):
	
	ax3 = plt.subplot(313)
	
	#Define number of bins, maximum Epn
	
	Rmax = 100
	zvalues = np.linspace(20, 32, 3)

	#Iterate over Energies
	
	for Z in zvalues:	
		#For a given Energy, iterate over n randomly simulated events
		
		sdensity=[]
		sigupper=[]
		siglower=[]
	
		
		rrange = np.linspace(0, 2*Rmax, 100)
		
		for r in rrange:
			
			[sig, sigerror], [bkg,  bkgerror] = ld.run(r, 0, Z, Rmax, eff)
			
			if sig > 0:
				sdensity.append(sig)
			else:
				sdensity.append(0.01)
				
			su = sig*(1+sigerror)
			sl = sig*(1-sigerror)
			sigupper.append(su)
			siglower.append(sl)
			
		label= "Z = " + str(Z)
	
		line = ax3.plot(rrange, sdensity, label=label)
		linecolor = line[0].get_color()
		ax3.fill_between(rrange, siglower, sigupper, color=linecolor, alpha=0.25)
		
		
	ax3.set_ylim(bottom=0.1)
	ax3.tick_params(labelsize=20)
	plt.yscale('log')
	plt.ylabel('Photons per m$^2$', fontsize=20)
	plt.xlabel('Radius (m)', fontsize=20)
	plt.title('No background DC light, Rmax=100', fontsize=20)
	
	plt.legend(loc=2)
	
	ax1 = plt.subplot(311)
	ax2 = plt.subplot(312)
	
	#Define number of bins, maximum Epn
	
	Z = 26
	
	eraw = np.linspace(0.0, 1.0, num=3)
	R = eraw*0.0178
	Erange = ((1.7*R/321)+(3571**-1.7))**(-1/1.7)
	
	Erange = [3571, 850]
	
	height = 22000
	Z = 26
	
	colors=['r', 'g', 'b']
	
	for i in range(0, len(Erange)):
		
		Epn = Erange[i]

		rmax, theta = cr.run(Epn, height, sinphi=1, text=False)
		
		color=colors[i]

		density=[]
		
		sigdensity = []
		sigupper=[]
		siglower=[]
		
		bkgdensity=[]
		bkgupper=[]
		bkglower=[]
		
		rrange = np.linspace(0, 2.0*rmax, 100)
		
		for r in rrange:
			
			[sig, sigerror], [bkg,  bkgerror] = ld.run(r, Epn, Z, rmax, eff)
				
			if sig > 0.0:
				sigdensity.append(sig)
			else:
				sigdensity.append(0.01)
				
			su = sig*(1+sigerror)
			sl = sig*(1-sigerror)
			sigupper.append(su)
			siglower.append(sl)
			
			if bkg > 0:
				bkgdensity.append(bkg)
			else:
				bkgdensity.append(0.01)
			
			bu = bkg*(1+bkgerror)
			bl = bkg*(1-bkgerror)
			bkgupper.append(bu)
			bkglower.append(bl)
			
		label= "Epn = " + str(Epn)
	
		ax1.plot(rrange, bkgdensity, 'x', color=color)
		ax1.fill_between(rrange, bkglower, bkgupper, color=color, alpha=0.25)
		ax2.plot(rrange, sigdensity, '--', color=color)
		ax2.fill_between(rrange, siglower, sigupper, color=color, alpha=0.25)

	for ax in [ax1, ax2]:
		ax.set_yscale('log')
		ax.set_ylabel('Photons per m$^2$', fontsize=20)
		ax.set_xlabel('Radius (m)', fontsize=20)
		ax.set_title('Height = ' + str(height) + ', Z = 26', fontsize=20)
		ax.tick_params(labelsize=20)
		ax.set_ylim(bottom=0.1)
	
	
	plt.suptitle("Lateral Photon Distribution in DC pixel", fontsize=20)
	
	figure = plt.gcf() # get current figure
	figure.set_size_inches(15, 25)
	
	saveto = '/d6/rstein/Hamburg-Cosmic-Rays/positioning/graphs/stats/Light.pdf'
	print "Saving to", saveto
	plt.savefig(saveto)
		
	if graph:
		plt.show()
	plt.close()