def process(path, latitude, longitude, rate, opt='sel'):
"""Process a set of event files"""
tstart = time.time()
generated, data = 0, []
nf = 0
for name in os.listdir(path):
nf += 1
if not name.endswith("json"):
continue
filename = os.path.join(path, name)
t0 = time.time()
#print "o Processing", filename
for event in EventIterator(filename):
generated += add_triggers(event, latitude, longitude, rate, opt)
#print " --> Done in {:.1f} s".format(time.time() - t0)
if float(nf) / 100 == np.floor(nf / 100):
print 'Nb of json files processed:', nf
#if nf==1000:
# break
if generated > 0:
d = antennas_density(latitude, longitude)
rate /= (generated * d)
latitude = 0.5 * (latitude[1:] + latitude[:-1])
longitude = 0.5 * (longitude[1:] + longitude[:-1])
while path.endswith("/"):
path = path[:-1]
path += ".triggers.p"
#ratet = np.transpose(rate)
with open(path, "wb+") as f:
pickle.dump((generated, latitude, longitude, rate), f, -1)
print "o Triggers dumped to", path
print " --> All done in {:.1f} s".format(time.time() - tstart)
def inputfromjson(path,json_file):
#===========================================================================================================
# shower you are interested in
#showerID = str(path.split('/')[-1])
#if not showerID:
# showerID = str(path.split('/')[-2])
for event in EventIterator(json_file):
#if showerID != event["tag"]:
# print "Wrong tag!... Was expecting",showerID,", got",event["tag"]
# return
### DECAY
decay_pos=event["tau_at_decay"][2]
injection_height=decay_pos[2]
decay_pos=decay_pos+np.array([0.,0.,EARTH_RADIUS]) # corrected for earth radius
#print "decay position after correction: ", decay_pos
decay_altitude=event["tau_at_decay"][3]
#print "decay decay_altitude: ", decay_altitude
### ANGLES
v=event["tau_at_decay"][3]# shower direction, assuming decay products strongly forward beamed
#zenith_sim = np.degrees(np.arccos(np.dot(v, decay_pos) / np.linalg.norm(decay_pos))) # zenith in GRAND conv.
zenith_sim = np.degrees(np.arccos(v[2])) # zenith in GRAND conv.
#print "theta:", zenith_sim
#orthogonal projection of v onto flat plane to get the azimuth
x=np.array([1.,0.,0.]) #NS
y=np.array([0.,1.,0.]) #EW
proj_v= np.dot(v,x)*x + np.dot(v,y)*y
azimuth_sim = np.degrees(np.arccos(np.dot(proj_v, x))) # azimuth in GRAND conv., rt NORTH
if proj_v[1]<0.: # y component of projection negativ, means azimuth >180deg
azimuth_sim = 360.-azimuth_sim
#print "azimuth: ", azimuth_sim
### ENERGY
ep_array=np.zeros(len(event["decay"])-1)
for i in range(1, len(event["decay"])): #len(event["decay"])-1 # gives you the number of decay products in event
if float(event["decay"][i][0]) in particle_list: # just for valid particles
pp=event["decay"][i][1] # momentum vector, second decay product: event["decay"][2][1]
ep_array[i-1]=np.sqrt(pp[0]**2+pp[1]**2+pp[2]**2)# in GeV
# print "particle ", str(i), "PID:",event["decay"][i][0]," energy in EeV: ", ep_array[i-1]*1e-9 #np.sqrt(pp[0]**2+pp[1]**2+pp[2]**2)* 1.e-9
energy= np.sum(ep_array)* 1.e-9 # GeV in EeV
#print "energy in EeV: ", energy
### PID primary
#part_dic={'221.0':'eta','211.0': 'pi+', '-211.0': 'pi-','111.0': 'pi0', '22.0':'gamma', '13.0':'muon', '11.0': 'electron', '15.0':'tau', '16.0':'nu(t)', '321.0': 'K+', '-321.0': 'K-','130.0':'K0L', '310.0':'K0S','-323.0':'K*+'}
particle=int(np.argmax(ep_array) +1) # not forget about the inital neutrino and array start with 0
PID= float(event["decay"][int(np.argmax(ep_array) +1)][0])
el_list=[22.0, 11.0, -11.0, 111.0] #'22.0':'gamma', '11.0': 'electron', '-11':positron, '111.0': 'pi0'
if PID in el_list:
primary="electron"
else: # pion-like
primary="pion"
return zenith_sim,azimuth_sim,energy,injection_height,primary
def __init__(self, path=None, on_start=None):
if path: self.events = EventIterator(path)
self._current_vertex = None
self._all_vertices = collections.deque([])
self._on_start = on_start
# Register the extra event handlers.
self.accept("raw-e", self.show_next_event)
self.accept("raw-q", self.show_previous_event)
self.accept("raw-t", self.toggle_all_decays)
def load(path):
"""Load and parse a set of decay files
"""
theta, phi, altitude = [], [], []
position, energy, weight = [], [], []
generated = 0
for name in os.listdir(path):
if not name.startswith("events"):
continue
filename = os.path.join(path, name)
for event in EventIterator(filename):
e, r, u = event["tau_at_decay"]
t, p = topo.local_to_angular(r, u)
_, _, a = topo.local_to_lla(r)
K = [
numpy.linalg.norm(v[3]) > 6371E+03
for v in event["primaries"][0]
]
J = [not k for k in K]
K, J = map(lambda X: numpy.nonzero(X)[0], (K, J))
wp = numpy.array([v[0] for v in event["primaries"][0]])
norm = event["statistics"][0] * PHI0 * year / event["primaries"][1]
wE = sum(wp[J]) * norm
wA = sum(wp[K]) * norm
generated += event["statistics"][1]
if wE + wA == 0:
continue
theta.append(t)
phi.append(p)
altitude.append(a * 1E-03)
position.append(r)
energy.append(e)
weight.append((wE, wA))
position = numpy.array(position) * 1E-03
weight = numpy.array(weight)
def get_stats(w, n):
mu = sum(w) / n
sigma = sum(w**2) / n
sigma = numpy.sqrt((sigma - mu**2) / n)
return mu, sigma
mE, sE = get_stats(weight[:, 0], generated)
mA, sA = get_stats(weight[:, 1], generated)
print "Earth skimming = {:.3f} +-{:.3f} a^-1".format(mE, sE)
print "Atmospheric = {:.3f} +-{:.3f} a^-1".format(mA, sA)
print "Events ratio = {:.2f}".format(
sum(weight[:, 0] > 0.) / float(len(weight)))
if mE <= 0.:
# Bring the atmospheric events to the front
weight[:, [0, 1]] = weight[:, [1, 0]]
return theta, phi, altitude, position, energy, weight, generated
def load(path):
"""Load samples
"""
weight, weight2, generated = 0., 0., 0
for event in EventIterator(path):
w, n = event["statistics"]
weight += w
weight2 += w**2
generated += n
weight /= generated
weight2 /= generated
sigma = ((weight2 - weight**2) / generated)**0.5
return weight, sigma
def process(path):
"""Summarise a set of event files"""
global origin, topo, flat
origin, topo = None, None
flat = False # Use topography of flat ground (with Earth curvature)
print "*** Warning: flat=",flat
for name in os.listdir(path):
if not name.endswith("json"):
continue
filename = os.path.join(path, name)
print "o Processing", filename
t0 = time.time()
for event in EventIterator(filename):
fresnel(event)
print " --> Done in {:.1f} s".format(time.time() - t0)
def process(path, summarise, opt='sel'):
"""Summarise a set of event files"""
tstart = time.time()
global origin, topo
origin, topo = None, None
generated, data = 0, []
nf = 0
novolt = 0
for name in os.listdir(path):
if not name.endswith("json"):
continue
filename = os.path.join(path, name)
t0 = time.time()
#print "o Processing", filename
for event in EventIterator(filename):
n, d = summarise(event, opt)
generated += n
if d is not None:
data.append(d)
else:
novolt += 1
#print 'novolt=',novolt
if float(nf) / 100 == np.floor(nf / 100):
print 'Nb of json files processed:', nf
nf += 1
#if nf==1000:
# break
if len(data) == 0:
raise RuntimeError("No event found")
while path.endswith("/"):
path = path[:-1]
if opt == 'sel':
path += "_sel.p"
else:
path += ".p"
with open(path, "wb+") as f:
pickle.dump((generated, data), f, -1)
print "o Events dumped to", path
print " --> All done in {:.1f} s".format(time.time() - tstart)
def process(path, summarise, opt='sel'):
"""Summarise a set of event files"""
tstart = time.time()
nf = 0
generated, data = 0, []
for name in os.listdir(path):
if not name.endswith("json"):
continue
nf += 1
filename = os.path.join(path, name)
t0 = time.time()
#print "o Processing", filename
for event in EventIterator(filename):
n, d = summarise_primaries(event, opt)
generated += n
if d is not None:
data += d
#print " --> Done in {:.1f} s".format(time.time() - t0)
if float(nf) / 100 == np.floor(nf / 100):
print 'Nb of json files processed:', nf
#if nf==19900:
# print "#### Warning! Stopping at",nf
# break
if len(data) == 0:
raise RuntimeError("No event found")
while path.endswith("/"):
path = path[:-1]
if opt == 'sel':
path += ".primaries_sel.p"
else:
path += ".primaries.p"
with open(path, "wb+") as f:
pickle.dump((generated, data), f, -1)
print "o Events dumped to", path
print " --> All done in {:.1f} s".format(time.time() - tstart)
def compute(opt_input,
path,
effective,
zenith_sim,
azimuth_sim,
energy,
injection_height,
primary,
json_file=None):
#===========================================================================================================
if opt_input == 'json':
# shower you are interested in
showerID = str(path.split('/')[-1])
if not showerID:
showerID = str(path.split('/')[-2])
# Find that shower in the json file
event = [
evt for evt in EventIterator(json_file) if evt["tag"] == showerID
][0]
### json file containing additional data for analysis
filename = str(showerID) + ".voltage.json"
path2 = join(path_json, filename)
print path2
log_event = EventLogger(path=path2)
voltage = []
time_peaks = []
print "Zenith, azimuth=", zenith_sim, azimuth_sim
##########################################################################################
###Handing over one antenna or a whole array
if opt_input == 'txt':
if len(sys.argv) >= 7: # just one specif antenna handed over
start = int(sys.argv[6]) # antenna ID
end = start + 1
# print "single antenna with ID: ", str(start)," handed over"
if len(sys.argv) < 7: # grep all antennas from the antenna file
positions = np.genfromtxt(path + '/antpos.dat')
start = 0
end = len(positions)
# print "Array with ", end, " antennas handed over"
elif opt_input == 'json':
if len(sys.argv) >= 7: # just one specif antenna handed over
start = int(sys.argv[6]) # antenna ID
end = start + 1
# print "single antenna with ID: ", str(start)," handed over"
if len(sys.argv) < 7: # grep all antennas from the antenna file
positions = np.array(event["antennas"], dtype=float)
decay_pos = event["tau_at_decay"][1]
positions = positions - [decay_pos[0], decay_pos[1], 0.]
#positions=np.genfromtxt(path+'/antpos.dat')
start = 0
end = len(positions)
#print "Array with ", end, " antennas handed over"
elif opt_input == 'manual':
if len(sys.argv) >= 11: # just one specif antenna handed over
start = int(sys.argv[10]) # antenna ID
end = start + 1
# print "single antenna with ID: ", str(start)," handed over"
if len(sys.argv) < 11: # grep all antennas from the antenna file
positions = np.genfromtxt(path + '/antpos.dat')
start = 0
end = len(positions)
# print "Array with ", end, " antennas handed over"
if effective == 1: # effective zenith caclculation needs Xmax position as input
# print "effective zenith calculated - Xmax position approximated ..."
# Then compute Xmax
caz = np.cos(np.deg2rad(azimuth_sim))
saz = np.sin(np.deg2rad(azimuth_sim))
czen = np.cos(np.deg2rad(zenith_sim))
szen = np.sin(np.deg2rad(zenith_sim))
Xmax_primary = modules._getXmax(
primary, energy, np.deg2rad(zenith_sim)
) # approximation based on values from plots for gamma (=e) and protons (=pi) # g/cm2
Xmax_height, Xmax_distance = modules._dist_decay_Xmax(
np.deg2rad(zenith_sim), injection_height,
Xmax_primary) # d_prime: distance from decay point to Xmax
Xmax = Xmax_distance * np.array([caz * szen, saz * szen, czen
]) + np.array(
[0, 0, injection_height])
# print 'Xmax=',Xmax_primary,' Xmax height=',Xmax_height,' Xmax distance =',Xmax_distance,'Xmax position= ',Xmax
# print 'Now computing Xmax position from injection height=',injection_height,'m and (zen,azim) values.'
###### loop over l --- LOOP OVER ANTENNA ARRAY
for l in range(start, end):
efieldtxt = path + '/a' + str(l) + '.trace'
# print 'Wave direction: zenith = ', zenith_sim, ' deg, azimuth = ', azimuth_sim, 'deg. (GRAND conventions), mountain slope: ', alpha_sim, 'deg.'
# print 'Efield file: ', efieldtxt
# Model the input signal.
try:
time1_sim, Ex_sim, Ey_sim, Ez_sim = np.loadtxt(efieldtxt,
delimiter=' ',
usecols=(0, 1, 2,
3),
unpack=True)
except IOError:
continue #jlzhang if the file and the path is not exist, if will go to next antenna, so I think it should be break;
# NOTE: adapt to your time from whatever to s
time1_sim = time1_sim * 1e-9 # time has to be handed in s
#print 'Now computing antenna response...'
if effective == 1:
# Compute effective zenith
# First get antenna position
#print 'Reading antenna position from parameter input.'
if (opt_input == 'json' or opt_input == 'txt') and (len(sys.argv)
== 12):
x_sim = float(sys.argv[7])
y_sim = float(sys.argv[8])
z_sim = float(sys.argv[9])
# include a mountain slope - correction of zenith angle
alpha_sim = float(sys.argv[10])
beta_sim = float(sys.argv[11])
elif (opt_input == 'manual') and (len(sys.argv) == 16):
x_sim = float(sys.argv[11])
y_sim = float(sys.argv[12])
z_sim = float(sys.argv[13])
# include a mountain slope - correction of zenith angle
alpha_sim = float(sys.argv[14])
beta_sim = float(sys.argv[15])
else:
try:
if opt_input == 'json':
x_sim, y_sim, z_sim = positions[
l] #,alpha_sim,beta_sim
alpha_sim = 0.
beta_sim = 0.
else:
#print 'Trying to read antenna position from antpos.dat file...'
numberline = int(l) + 1
line = linecache.getline(path + '/antpos.dat',
numberline)
#[x_sim, y_sim, z_sim] = map(float, line.split())
[x_sim, y_sim, z_sim, alpha_sim,
beta_sim] = map(float, line.split())
#print 'Read antenna position from antpos.dat file... Antenna',l,' at position [', x_sim, y_sim, z_sim,'].'
except:
print 'No antenna position file found, please put antpos.dat in', path, 'or enter check antenna informations in json file or enter antenna positions as arguments.'
sys.exit()
Xant = [x_sim, y_sim, z_sim]
# Hack OMH 24/01
alpha_sim = 10
beta_sim = 0
Xant = [400000, 0, 0]
ush = Xmax - Xant
ush = ush / np.linalg.norm(
ush) # Unitary vector pointing to Xmax from antenna pos
voltage_NS, timeNS = get_voltage(time1=time1_sim,
Ex=Ex_sim,
Ey=Ey_sim,
Ez=Ez_sim,
ush=ush,
alpha=alpha_sim,
beta=beta_sim,
typ="X")
voltage_EW, timeEW = get_voltage(time1=time1_sim,
Ex=Ex_sim,
Ey=Ey_sim,
Ez=Ez_sim,
ush=ush,
alpha=alpha_sim,
beta=beta_sim,
typ="Y")
voltage_vert, timevert = get_voltage(time1=time1_sim,
Ex=Ex_sim,
Ey=Ey_sim,
Ez=Ez_sim,
ush=ush,
alpha=alpha_sim,
beta=beta_sim,
typ="Z")
#pl.savetxt(path+'out_'+str(l)+'.txt', (timeEW, voltage_EW, voltage_NS), newline='\r\n')#, voltage_NS)) # is not working correctly
if np.size(timeEW) > 0: # Dat was computed
f = file(pathout + '/out_' + str(l) + '.txt', "w")
#print "OUTFILE : ", pathout+'/out_'+str(l)+'.txt'
for i in np.arange(len(timeEW)):
print >> f, "%1.5e %1.2e %1.2e %1.2e" % (
timeNS[i], voltage_NS[i], voltage_EW[i], voltage_vert[i]
) # same number of digits as input
f.close()
###plots
DISPLAY = 1
if DISPLAY == 1:
import pylab as pl
import matplotlib.pyplot as plt
plt.figure(1, facecolor='w', edgecolor='k')
plt.subplot(211)
plt.plot(time1_sim * 1e9, Ey_sim, label="Ey = EW")
plt.plot(time1_sim * 1e9, Ex_sim, label="Ex = NS")
plt.plot(time1_sim * 1e9, Ez_sim, label="Ez = UP")
plt.xlabel('Time (nsec)')
plt.ylabel('Electric field (muV/m)')
plt.legend(loc='best')
plt.subplot(212)
plt.plot(timeEW * 1e9, voltage_EW, label="EW")
plt.plot(timeEW * 1e9, voltage_NS, label="NS")
plt.plot(timeEW * 1e9, voltage_vert, label="Vertical")
plt.xlabel('Time (nsec)')
plt.ylabel('Voltage (muV)')
plt.legend(loc='best')
plt.show()
##################################################################
##################################################################
if opt_input == 'json':
#### additional output needed for later study, added in the json file
# p2p voltage: antenna ID, p2p EW, NS, UP, EW+NS
voltage_com = np.copy(voltage_EW)
for i in range(0, len(voltage_EW)):
voltage_com[i] += voltage_NS[i]
v_list = (
str(l), max(voltage_EW) - min(voltage_EW), max(voltage_NS) -
min(voltage_NS), max(voltage_vert) - min(voltage_vert),
max(voltage_com) - min(voltage_com)
) #jlzhang zen>90, so there is no voltage, the max() will be empty
voltage.append(v_list)
# time of peaks and value: t_EW_max, v_EW_max, t_EW_min, v_EW_min,.... EW, NS, vert, EW+NS
import operator
EW_ind_max, value = max(enumerate(voltage_EW),
key=operator.itemgetter(1))
EW_ind_min, value = min(enumerate(voltage_EW),
key=operator.itemgetter(1))
NS_ind_max, value = max(enumerate(voltage_NS),
key=operator.itemgetter(1))
NS_ind_min, value = min(enumerate(voltage_NS),
key=operator.itemgetter(1))
vert_ind_max, value = max(enumerate(voltage_vert),
key=operator.itemgetter(1))
vert_ind_min, value = min(enumerate(voltage_vert),
key=operator.itemgetter(1))
com_ind_max, value = max(enumerate(voltage_com),
key=operator.itemgetter(1))
com_ind_min, value = min(enumerate(voltage_com),
key=operator.itemgetter(1))
time_peaks.append(
(round(timeEW[EW_ind_max], 11), voltage_EW[EW_ind_max],
round(timeEW[EW_ind_min], 11), voltage_EW[EW_ind_min],
round(timeNS[NS_ind_max], 11), voltage_NS[NS_ind_max],
round(timeNS[NS_ind_min], 11), voltage_NS[NS_ind_min],
round(timevert[vert_ind_max], 11), voltage_vert[vert_ind_max],
round(timevert[vert_ind_min], 11), voltage_vert[vert_ind_min],
round(timeEW[com_ind_max], 11), voltage_com[com_ind_max],
round(timeEW[com_ind_min], 11), voltage_com[com_ind_min]))
############### end of loop over antennas
if opt_input == 'json':
if len(voltage) == 0:
print "- effective zenith not fulfilled - NO VOLTAGE COMPUTED"
log_event(**event)
else:
# add the additional informations to the shower event
event['voltage'] = voltage # muV
event['time_peaks'] = time_peaks # s, muV
log_event(**event)
# Author: Valentin NIESS ([email protected]) # # A basic event display for RETRO, based on matplotlib. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public License # along with this program. If not, see <http://www.gnu.org/licenses/> import sys sys.path.append("lib/python") sys.path.append("../../lib/python") from retro.event import EventIterator from display import Display display = Display() if __name__ == "__main__": for event in EventIterator(sys.argv[1]): display(event)
if __name__ == "__main__":
wkdir = sys.argv[1] # path where the simulation file is
if len(sys.argv) != 2:
print """\
This script plot the 2D map of the Efield & voltages amplitude pattern
Usage: python plotShowerCaras.py [folder containing the .json file]
"""
sys.exit(1)
# First load json infos
json_files = glob.glob(wkdir + '/*' + '.voltage.json')
for i in range(len(json_files)): #
json_file = json_files[i]
print "o Processing ", json_file
for evt in EventIterator(json_file): # Should only be one
# Tau decay infos
tau = evt["tau_at_decay"]
decay_pos = tau[2]
decay_pos = np.array(decay_pos)
tau_dir = tau[5]
zen = tau_dir[0]
# Compute the shower energy
shower_energy = 0.
for (pid_, momentum) in evt["decay"]:
aid = abs(pid_)
if aid in (12, 13, 14, 16):
continue
shower_energy += sum(m**2 for m in momentum)**0.5
shower_energy = shower_energy / 1e9 # now in EeV
#if shower_energy<1:
def compute(opt_input,path, effective,zenith_sim, azimuth_sim, energy, injection_height, primary,json_file=None):
#===========================================================================================================
if opt_input=='json':
# shower you are interested in
showerID = str(path.split('/')[-1])
if not showerID:
showerID = str(path.split('/')[-2])
# Find that shower in the json file
event = [evt for evt in EventIterator(json_file) if evt["tag"]==showerID][0]
log_event = EventLogger(path=json_file)
voltage=[]
time_peaks=[]
##########################################################################################
###Handing over one antenna or a whole array
if opt_input=='txt':
if len(sys.argv)>=6: # just one specif antenna handed over
start=int(sys.argv[5]) # antenna ID
end=start+1
# print "single antenna with ID: ", str(start)," handed over"
if len(sys.argv)<6: # grep all antennas from the antenna file
positions=np.genfromtxt(path+'/antpos.dat')
start=0
end=len(positions)
# print "Array with ", end, " antennas handed over"
elif opt_input=='json':
if len(sys.argv)>=6: # just one specif antenna handed over
start=int(sys.argv[5]) # antenna ID
end=start+1
# print "single antenna with ID: ", str(start)," handed over"
if len(sys.argv)<6: # grep all antennas from the antenna file
positions=np.array(event["antennas"],dtype=float)
decay_pos=event["tau_at_decay"][1]
positions = positions - [decay_pos[0],decay_pos[1],0.]
#positions=np.genfromtxt(path+'/antpos.dat')
start=0
end=len(positions)
#print "Array with ", end, " antennas handed over"
elif opt_input=='manual':
if len(sys.argv)>=10: # just one specif antenna handed over
start=int(sys.argv[9]) # antenna ID
end=start+1
# print "single antenna with ID: ", str(start)," handed over"
if len(sys.argv)<10: # grep all antennas from the antenna file
positions=np.genfromtxt(path+'/antpos.dat')
start=0
end=len(positions)
# print "Array with ", end, " antennas handed over"
if effective==1: # effective zenith caclculation needs Xmax position as input
# print "effective zenith calculated - Xmax position approximated ..."
# Then compute Xmax
caz = np.cos(np.deg2rad(azimuth_sim))
saz = np.sin(np.deg2rad(azimuth_sim))
czen = np.cos(np.deg2rad(zenith_sim))
szen = np.sin(np.deg2rad(zenith_sim))
Xmax_primary = modules._getXmax(primary, energy, np.deg2rad(zenith_sim)) # approximation based on values from plots for gamma (=e) and protons (=pi) # g/cm2
Xmax_height, Xmax_distance = modules._dist_decay_Xmax(np.deg2rad(zenith_sim), injection_height, Xmax_primary) # d_prime: distance from decay point to Xmax
Xmax = Xmax_distance*np.array([caz*szen, saz*szen, czen])+np.array([0,0,injection_height])
# print 'Xmax=',Xmax_primary,' Xmax height=',Xmax_height,' Xmax distance =',Xmax_distance,'Xmax position= ',Xmax
# print 'Now computing Xmax position from injection height=',injection_height,'m and (zen,azim) values.'
###### loop over l --- LOOP OVER ANTENNA ARRAY
for l in range(start,end):
efieldtxt=path+'/a'+str(l)+'.trace'
# print 'Wave direction: zenith = ', zenith_sim, ' deg, azimuth = ', azimuth_sim, 'deg. (GRAND conventions), mountain slope: ', alpha_sim, 'deg.'
# print 'Efield file: ', efieldtxt
# Model the input signal.
try:
time1_sim, Ex_sim, Ey_sim,Ez_sim = np.loadtxt(efieldtxt,delimiter=' ',usecols=(0,1,2,3),unpack=True)
except IOError:
continue
# NOTE: adapt to your time from whatever to s
time1_sim= time1_sim*1e-9 # time has to be handed in s
#print 'Now computing antenna response...'
if effective==1:
# Compute effective zenith
# First get antenna position
#print 'Reading antenna position from parameter input.'
if (opt_input=='json' or opt_input=='txt') and (len(sys.argv)==11) :
x_sim = float(sys.argv[6])
y_sim = float(sys.argv[7])
z_sim = float(sys.argv[8])
# include a mountain slope - correction of zenith angle
alpha_sim=float(sys.argv[9])
beta_sim=float(sys.argv[10])
elif (opt_input=='manual') and (len(sys.argv)==15) :
x_sim = float(sys.argv[10])
y_sim = float(sys.argv[11])
z_sim = float(sys.argv[12])
# include a mountain slope - correction of zenith angle
alpha_sim=float(sys.argv[13])
beta_sim=float(sys.argv[14])
else :
try :
if opt_input=='json':
x_sim,y_sim,z_sim = positions[l] #,alpha_sim,beta_sim
alpha_sim = 0.
beta_sim = 0.
else:
#print 'Trying to read antenna position from antpos.dat file...'
numberline = int(l) + 1
line = linecache.getline(path+'/antpos.dat', numberline)
#[x_sim, y_sim, z_sim] = map(float, line.split())
[x_sim, y_sim, z_sim, alpha_sim, beta_sim] = map(float, line.split())
#print 'Read antenna position from antpos.dat file... Antenna',l,' at position [', x_sim, y_sim, z_sim,'].'
except :
print 'No antenna position file found, please put antpos.dat in', path, 'or enter check antenna informations in json file or enter antenna positions as arguments.'
sys.exit()
# Finally compute effective zenith
#alpha_sim = 0.
# Hack OMH 24/01
alpha_sim=10
beta_sim=0
x_sim = 400000
y_sim = 0
z_sim = 0
print "input zen, azim, alpha,beta : ", zenith_sim, azimuth_sim, alpha_sim,beta_sim
#zenith_eff = effective_zenith(zenith_sim, azimuth_sim, alpha_sim, x_sim, y_sim, z_sim, Xmax[0], Xmax[1], Xmax[2])
#print 'zenith_eff = ',zenith_eff
zen_inant,azim_inant = effective_angles(alpha_sim, beta_sim, x_sim, y_sim, z_sim, Xmax[0], Xmax[1], Xmax[2])
print "effective zenith and azimuth in GRAND convention: ", zen_inant,azim_inant,' deg'
else: # in case effective zenith not wanted, one still has to account for mountain slope
# zenith: correct for mountain slope
#zenith_eff= 180.-(zenith_sim+alpha_sim) # in antenna convention
#zenith_eff= 180.- zenith_eff # back to GRAND conventions
print('Not supported')
#if zenith_eff < 90 :
if zen_inant < 90 : #>90 if in NEC convention
pass
print ' --- Wave coming from ground (GRAND zenith smaller than 90deg), antenna response not computed for that angle. Abort --- '
#exit()
else:
# Compute the output voltage for EW component
# print '*** Computing EW voltage...'
#voltage_EW, timeEW = get_voltage( time1=time1_sim,Ex=Ex_sim, Ey=Ey_sim, Ez=Ez_sim, zenith=zenith_eff, azimuth=azimuth_sim, EW=1)
voltage_EW, timeEW = get_voltage( time1=time1_sim,Ex=Ex_sim, Ey=Ey_sim, Ez=Ez_sim, zenith=zen_inant, azimuth=azim_inant, EW=1)
# Compute the output voltage for NS component -- TODO add here the correct antenna file at some point
# print '*** Computing SN voltage...'
#voltage_NS, timeNS = get_voltage( time1=time1_sim,Ex=Ex_sim, Ey=Ey_sim, Ez=Ez_sim, zenith=zenith_eff, azimuth=azimuth_sim, EW=0)
voltage_NS, timeNS = get_voltage( time1=time1_sim,Ex=Ex_sim, Ey=Ey_sim, Ez=Ez_sim, zenith=zen_inant, azimuth=azim_inant, EW=0)
# Compute the output voltage for vertical component -- TODO add here the correct antenna file at some point, at the moment equivalent to EW arm
# print '*** Computing Vertical voltage...'
#voltage_vert, timevert = get_voltage( time1=time1_sim,Ex=Ex_sim, Ey=Ey_sim, Ez=Ez_sim, zenith=zenith_eff, azimuth=azimuth_sim, EW=2)
voltage_vert, timevert = get_voltage( time1=time1_sim,Ex=Ex_sim, Ey=Ey_sim, Ez=Ez_sim, zenith=zen_inant, azimuth=azim_inant, EW=2)
#pl.savetxt(path+'out_'+str(l)+'.txt', (timeEW, voltage_EW, voltage_NS), newline='\r\n')#, voltage_NS)) # is not working correctly
f = file(path+'/out_'+str(l)+'.txt',"w")
print "OUTFILE : ", path+'/out_'+str(l)+'.txt'
for i in np.arange(len(timeEW)):
print >>f,"%1.5e %1.2e %1.2e %1.2e" % (timeEW[i], voltage_EW[i], voltage_NS[i], voltage_vert[i] ) # same number of digits as input
f.close()
###plots
DISPLAY=1
if DISPLAY==1:
import pylab as pl
import matplotlib.pyplot as plt
plt.figure(1, facecolor='w', edgecolor='k')
plt.subplot(211)
plt.plot(time1_sim*1e9,Ey_sim, label="Ey = EW")
plt.plot(time1_sim*1e9,Ex_sim, label="Ex = NS")
plt.plot(time1_sim*1e9,Ez_sim, label="Ez = UP")
plt.xlabel('Time (nsec)')
plt.ylabel('Electric field (muV/m)')
plt.legend(loc='best')
plt.subplot(212)
plt.plot(timeEW*1e9,voltage_EW, label="EW")
plt.plot(timeNS*1e9,voltage_NS, label="NS")
plt.plot(timeNS*1e9,voltage_vert, label="Vertical")
plt.xlabel('Time (nsec)')
plt.ylabel('Voltage (muV)')
plt.legend(loc='best')
plt.show()
##################################################################
##################################################################
if opt_input=='json':
#### additional output needed for later study, added in the json file
# p2p voltage: antenna ID, p2p EW, NS, UP, EW+NS
voltage_com=np.copy(voltage_EW)
for i in range (0, len(voltage_EW)):
voltage_com[i]+=voltage_NS[i]
v_list =( str(l), max(voltage_EW) - min(voltage_EW), max(voltage_NS) - min(voltage_NS), max(voltage_vert) - min(voltage_vert), max(voltage_com) - min(voltage_com) )
voltage.append( v_list )
# time of peaks and value: t_EW_max, v_EW_max, t_EW_min, v_EW_min,.... EW, NS, vert, EW+NS
import operator
EW_ind_max, value = max(enumerate(voltage_EW), key=operator.itemgetter(1))
EW_ind_min, value = min(enumerate(voltage_EW), key=operator.itemgetter(1))
NS_ind_max, value = max(enumerate(voltage_NS), key=operator.itemgetter(1))
NS_ind_min, value = min(enumerate(voltage_NS), key=operator.itemgetter(1))
vert_ind_max, value = max(enumerate(voltage_vert), key=operator.itemgetter(1))
vert_ind_min, value = min(enumerate(voltage_vert), key=operator.itemgetter(1))
com_ind_max, value = max(enumerate(voltage_com), key=operator.itemgetter(1))
com_ind_min, value = min(enumerate(voltage_com), key=operator.itemgetter(1))
time_peaks.append( (round(timeEW[EW_ind_max],11), voltage_EW[EW_ind_max], round(timeEW[EW_ind_min],11), voltage_EW[EW_ind_min],
round(timeNS[NS_ind_max],11), voltage_NS[NS_ind_max], round(timeNS[NS_ind_min],11), voltage_NS[NS_ind_min],
round(timevert[vert_ind_max],11), voltage_vert[vert_ind_max], round(timevert[vert_ind_min],11), voltage_vert[vert_ind_min],
round(timeEW[com_ind_max],11), voltage_com[com_ind_max], round(timeEW[com_ind_min],11), voltage_com[com_ind_min] ) )
############### end of loop over antennas
if opt_input=='json':
if len(voltage)==0:
print "- effective zenith not fulfilled - NO VOLTAGE COMPUTED"
log_event(**event)
else:
# add the additional informations to the shower event
event['voltage'] = voltage # muV
event['time_peaks'] = time_peaks # s, muV
log_event(**event)
'-323.0': 'K*+'
}
showerID = 0
DISPLAY = 1
work_dir = "./"
json_file = str(sys.argv[1])
#print "json file : ", json_file
j = 0
### MAYBE: this has to be done in a script which is one level higher and calling the example.py
from retro.event import EventIterator
for event in EventIterator(
json_file
): #"events-flat.json"): #json files contains a list of events which shall run on one node"
showerID = showerID + 1
Dd = 10000. + random.uniform(
0, 1
) * 40000. #m #float(sys.argv[3]) #distance from decay point to beginning of radio array [m] at Grd-level
print "DISTANCE ", Dd
#### to choose one specific event from a json file or test running on cluster
j = j + 1
if j < 10:
#if event["antennas"][0][2]>0:
print "\n"
print "Event ", str(event["tag"]), " started"
###DECAY
if __name__ == "__main__":
i = 0
global origin, topo
origin, topo = None, None
#xall = np.zeros(shape=(0,0))
#yall = np.zeros(shape=(0,0))
path = sys.argv[1]
f = open('compIniGRAND.txt', 'ab')
#np.savetxt(f,"#E (GeV), u(GRANDconv), x_decay(GRANDconv)",delimiter=" ",fmt="%s")
for name in os.listdir(path):
if not name.endswith("json"):
continue
filename = os.path.join(path, name)
print "o Processing", filename
for event in EventIterator(filename):
i += 1
#xa,ya = ants(event)
#xall = np.append(xall,xa)
#yall = np.append(yall,ya)
#display(event)
display(42.1, 86.3)
#fresnel(event)
#dumpIni(event)
#if i >1000:
# break
f.close()
#pl.figure()
#pl.subplot(211)
# Settings
DATA_DIR = "share/events/earth-skimming"
outdir = os.path.join(DATA_DIR, "pruned")
if not os.path.exists(outdir):
os.makedirs(outdir)
topography = Topography(latitude=43, longitude=87, path="flat/10")
for filename in os.listdir(DATA_DIR):
if not filename.startswith("events"):
continue
t0 = time.time()
print "# Processing", filename
subindex = 1
path = os.path.join(DATA_DIR, filename)
for i, event in enumerate(EventIterator(path)):
if (i % 100) == 0:
v = filename.split(".")
v.insert(-1, str(subindex))
newname = ".".join(v)
subindex += 1
path = os.path.join(DATA_DIR, "pruned", newname)
log_event = EventLogger(path=path)
tau = event["tau_at_decay"]
tau.append(topography.local_to_lla(tau[1])[2])
event.pop("previous")
log_event(**event)
print " --> Done in {:.1f} s".format(time.time() - t0)
def process(jsonpath,attpath=None,tarpath=None):
doAtt = True
untardir = "./tmp"
try:
os.stat(untardir)
except:
os.mkdir(untardir)
for name in os.listdir(jsonpath):
if not name.endswith("json"):
continue
jsonf = name
target = jsonf[:-13]
print "o Processing", target
t0 = time.time()
if attpath is None:
attpath = jsonpath+"/"
if tarpath is None:
tarpath = jsonpath+"/"
jsonf = jsonpath+"/"+jsonf
attf = attpath+target+".att"
tarf = tarpath+target+".tgz"
if os.path.isfile(tarf):
# Unpack tar file with traces
print "Extracting",tarf
tar = tarfile.open(tarf, "r:gz")
tar.extractall(path=untardir)
tar.close()
print "Done."
else:
print "No file",tarf,"! Abort."
continue
if doAtt:
# Load attenuation
print "Loading attenuation table",attf
if os.path.isfile(attf):
attt = np.loadtxt(attf)
antid = attt[:,0]
att = attt[:,1:]
print "Done."
else:
print "No file",attf,"! Abort."
#continue
else:
print "No attenuation considered in this treatment because doAtt=",doAtt
# Now loop on events in json file (Should only be one)
for evt in EventIterator(jsonf):
ants = np.array(evt["antennas"])
nAnts = len(ants)
print "Now computing attenuated + filtered voltages"
voltage=[]
time_peaks=[]
# Now loop on all antennas
for i in range(nAnts):
file_freespace = untardir+"/"+target+"/out_{0}.txt".format(i)
if os.path.isfile(file_freespace): # Voltage file exists
if doAtt:
res = attenuate(file_freespace,att[i,:])
else:
res = filt(file_freespace)
res[np.isnan(res)] = 0;
v_list = (i,round(res[1]-res[3],3),round(res[5]-res[7],3),round(res[9]-res[11],3),round(res[13]-res[15],3))
voltage.append( v_list )
time_peaks.append(list(res))
# Now write output to file
print "Now logging results to",jsonf
log_event = EventLogger(path=jsonf)
# Add the additional informations to the shower event
evt['voltage'] = voltage # muV
evt['time_peaks'] = time_peaks # s, muV
log_event(**evt)
print " --> Done in {:.1f} s".format(time.time() - t0)
shutil.rmtree(untardir)
def signal_handler(sig, frame):
sys.exit(0)
signal.signal(signal.SIGINT, signal_handler)
# Set the output stream
if args.output is not None:
with open(args.output, "w+") as stream:
pass
else:
stream = sys.stdout
# Loop over events
done = 0
for filename in args.files:
for i, event in enumerate(EventIterator(filename)):
if i < args.skip:
continue
# Unpack the tau event
tau = event["tau_at_decay"]
energy = tau[1]
latitude, longitude, altitude = tau[4]
azimuth, elevation = -tau[5][1], 90. - tau[5][0]
if azimuth < 0: azimuth += 360
# Sample the primaries
primaries = sample_primaries(args.events, energy, latitude,
longitude, altitude, azimuth, elevation)
# Dump the result
d = numpy.array(direction, dtype=numpy.float64)
d /= numpy.linalg.norm(d)
eye = numpy.eye(3, dtype=numpy.float64)
ddt = numpy.outer(d, d)
skew = numpy.array([[0, d[2], -d[1]], [-d[2], 0, d[0]], [d[1], -d[0], 0]],
dtype=numpy.float64)
mtx = ddt + numpy.cos(angle) * (eye - ddt) + numpy.sin(angle) * skew
return mtx
# Load the event
tag = "E.1e17_X.93815_Y.74409_Z.-559_T.91_P.21_D.3750214666968983.more-antennas"
topo = Topography(43, 87, "flat/10")
event = EventIterator("share/events/{:}.json".format(tag)).next()
antennas = numpy.array(event["antennas"])
energy, position, direction, altitude = map(numpy.array, event["tau_at_decay"])
gamma = numpy.deg2rad(3.)
zcmin = 14E+03
zcmax = 165E+03 * energy / 1E+09 + 55E+03
rmin = position + zcmin * direction
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.plot(antennas[:, 0], antennas[:, 1], antennas[:, 2], "ko")
ax.plot((position[0], ), (position[1], ), (position[2], ), "ko")
r0 = position
r1 = position + zcmax * direction
###########################
if len(sys.argv)<3:
print """\
This script plot the 2D map of the Efield & voltages amplitude pattern
Usage: python plotAmpPattern.py [folder containing the .traces file] [file extension]
"""
sys.exit(1)
###########################
wkdir = sys.argv[1] # path where the simulation file is
# First load json infos
try:
json_file = glob.glob(wkdir+'*'+'.voltage.json')[0]
for evt in EventIterator(json_file):
# Ants infos
ants = np.array(evt["antennas"])
except:
try:
print wkdir
ants = np.loadtxt(wkdir+"/antpos.dat")
except:
print "caca"
xants = ants[:,0]
yants = ants[:,1]
zants = ants[:,2]
alpha = ants[:,3]
beta = ants[:,4]
out_dir = os.path.realpath(
os.path.join(sys.argv[1], "..", out_prefix + "-split"))
if not os.path.exists(out_dir):
os.makedirs(out_dir)
# Loop over files
log_event = None
out_index, n_events = 0, 0
for filename in os.listdir(sys.argv[1]):
if not filename.startswith("events"):
continue
path = os.path.join(sys.argv[1], filename)
print "o Processing file", path
t0 = time.time()
# Loop over events in a file
for event in EventIterator(path):
event.pop("previous")
if log_event is None:
# Create a new output file
if events_per_file <= 1:
path = os.path.join(out_dir, "{:}.json".format(event["tag"]))
else:
out_index += 1
path = os.path.join(out_dir,
"events.{:}.json".format(out_index))
log_event = EventLogger(path=path)
log_event(**event)
n_events += 1
if n_events >= events_per_file:
# Stop writting to the current output file
log_event = None
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This is a test procedure. It shows the distribution of the elevation angle
# of selected events.
import numpy
import matplotlib.pyplot as plt
from retro.event import EventIterator
from grand_tour import Topography
topo = Topography(42.928056, 86.741667, "../../share/topography", 25)
elevation = []
for event in EventIterator("../../events-ulastai.json"):
energy, position, direction = event["tau_at_decay"]
theta, phi = topo.local_to_angular(position, direction)
elevation.append(90. - theta)
p, x = numpy.histogram(elevation, 40, density=True)
x = 0.5 * (x[1:] + x[:-1])
plt.style.use("deps/mplstyle-l3/style/l3.mplstyle")
plt.figure()
plt.plot(x, p, "ko-")
plt.show()