def book_weights(infiles, outfile, model='Hoerandel5_atmod12_SIBYLL'):
tray = I3Tray()
tray.AddModule('I3Reader', 'reader', filenamelist=infiles)
tray.AddModule(
lambda frame: frame.Put('MCPrimary', frame['I3MCTree'].primaries[0]),
Streams=[icetray.I3Frame.DAQ])
tray.AddModule(lambda frame: frame.Put('Muon', frame['I3MCTree'][1]),
Streams=[icetray.I3Frame.DAQ])
model = MuonGun.load_model(model)
generator = harvest_generators(infiles)
tray.AddModule('I3MuonGun::WeightCalculatorModule',
'MuonWeight',
Model=model,
Generator=generator)
from icecube.hdfwriter import I3SimHDFWriter
tray.AddSegment(I3SimHDFWriter,
'scribe',
Output=outfile,
Keys=[
'MCPrimary', 'Muon', 'MuonWeight',
dict(key='I3MCTree',
name='BundleParameters',
converter=MuonGun.converters.MuonBundleConverter(
1, generator.surface))
],
Types=[])
tray.Execute()
def get_fluxes_and_names():
"""Get fluxes and names of all available models.
Returns
-------
list of MuonGun models, list of str
List of MuonGun models
List of model names
"""
table_path = os.path.expandvars('$I3_BUILD/MuonGun/resources/tables/*')
table_files = glob(table_path)
table_files = [os.path.basename(table_file) for table_file in table_files]
flux_names = np.unique(
[table_file.split('.')[0] for table_file in table_files])
fluxes = []
for flux_name in flux_names:
fluxes.append(MuonGun.load_model(flux_name))
return fluxes, flux_names
def book_weights(infiles, outfile, model='Hoerandel5_atmod12_SIBYLL'):
tray = I3Tray()
tray.AddModule('I3Reader', 'reader', filenamelist=infiles)
tray.AddModule('I3NullSplitter', 'nullsplit')
tray.AddModule(
lambda frame: frame.Put('MCPrimary', frame['I3MCTree'].primaries[0]))
tray.AddModule(
lambda frame: frame.Put('Muon', frame['I3MCTree'].most_energetic_muon))
model = MuonGun.load_model(model)
generator = harvest_generators(infiles)
tray.AddModule('I3MuonGun::WeightCalculatorModule',
'MuonWeight',
Model=model,
Generator=generator)
from icecube.hdfwriter import I3HDFWriter
tray.AddSegment(
I3HDFWriter,
'scribe',
Output=outfile,
Keys=[
'MCPrimary', 'Muon', 'MuonWeight',
dict(key='I3MCTree',
name='BundleParameters',
converter=MuonGun.converters.MuonBundleConverter(
1, generator.surface))
],
Types=[],
SubEventStreams=['nullsplit'],
)
tray.AddModule('TrashCan', 'YesWeCan')
tray.Execute()
tray.Finish()
from icecube import dataclasses, MuonGun
surface = MuonGun.Cylinder(1600, 800)
area = numpy.pi**2 * surface.radius * (surface.radius + surface.length)
# 1 file of E^-2.6 5-component 3e4-1e9 GeV (3:2:1:1:1)
soft = 4e5 * MuonGun.corsika_genprob('CascadeOptimized5Comp')
# 1 file of E^-2 5-component 6e2-1e11 GeV (10:5:3:2:1)
hard = 2.5e6 * MuonGun.corsika_genprob('Standard5Comp')
# In order to compare to "unweighted" CORSIKA, turn the Hoerandel flux
# into a probability (since we happen to know the integral)
areanorm = 0.131475115 * area
# 1 file of natural-spectrum ("unweighted") CORSIKA
unweighted = (2.5e7 / areanorm) * MuonGun.corsika_genprob('Hoerandel5')
model = MuonGun.load_model('GaisserH4a_atmod12_SIBYLL')
model.flux.min_multiplicity = 1
model.flux.max_multiplicity = 1
# spectrum = MuonGun.OffsetPowerLaw(5.0, 5e2, 8e2, 10**4.5)
spectrum = MuonGun.OffsetPowerLaw(5, 8e2, 2e3, 1e5)
# spectrum = MuonGun.OffsetPowerLaw(1.1, 650, 800, 1e8)
gun = 1e5 * MuonGun.EnergyDependentSurfaceInjector(surface, model.flux,
spectrum, model.radius)
# gun = 1e5*MuonGun.StaticSurfaceInjector(surface, model.flux, spectrum, model.radius)
# gun.target_surface = lambda e: surface
def get_weight(weighter, energy, zenith=numpy.pi / 8, scale=True):
shape = energy.shape
def cascade_l5_cuts_muongun(tray, name, infiles):
from icecube import MuonGun
if 'high' in infiles[1]:
sframe_file = '/data/user/nwandkowsky/utils/sframes/muongun_highe_sframe.i3.bz2'
elif 'med' in infiles[1]:
sframe_file = '/data/user/nwandkowsky/utils/sframes/muongun_mede_sframe.i3.bz2'
elif 'low' in infiles[1]:
sframe_file = '/data/user/nwandkowsky/utils/sframes/muongun_lowe_sframe.i3.bz2'
print(
'\033[93mWarning: Inserting {} to infiles.\033[0m'.format(sframe_file))
print('\033[93m Make sure this is correct... \033[0m')
infiles.insert(0, sframe_file)
tray.Add('Rename', Keys=["I3MCTree_preMuonProp", "I3MCTree"])
def harvest_generators(sinfiles):
from icecube.icetray.i3logging import log_info as log
generator = None
f = dataio.I3File(sinfiles[0])
while True:
try:
fr = f.pop_frame(icetray.I3Frame.Stream('S'))
except RuntimeError as e:
log('Caught the following exception:', str(e))
fr = None
if fr is None:
break
for k in fr.keys():
v = fr[k]
if isinstance(v, MuonGun.GenerationProbability):
log('%s: found "%s" (%s)' %
(sinfiles[0], k, type(v).__name__),
unit="MuonGun")
if generator is None:
generator = v
else:
generator += v
#print generator
f.close()
return generator
generator = harvest_generators(infiles)
def track_energy(frame):
energy = []
energy.append(frame["SplineMPEMuEXDifferential"].energy +
frame["MillipedeDepositedEnergy"].value)
energy.append(frame["SplineMPEMuEXDifferential"].energy +
frame["L5MonopodFit4"].energy)
energy.append(frame["L5MonopodFit4"].energy +
frame["MillipedeDepositedEnergy"].value)
frame["TrackEnergy"] = dataclasses.I3Double(min(energy))
tray.Add(track_energy)
def remove_background(frame):
if frame["IsHese"].value == True:
return True
if frame["IsCascade_reco"].value == False and (
(numpy.cos(frame["SplineMPEMuEXDifferential"].dir.zenith) > 0.4
and frame["SplineMPEMuEXDifferential"].energy < 1e4) or
numpy.cos(frame["SplineMPEMuEXDifferential"].dir.zenith) > 0.6
and frame["SplineMPEMuEXDifferential"].energy < 3e4):
print("Likely a background event (spline)... removing...",
frame["I3EventHeader"].run_id,
frame["I3EventHeader"].event_id)
return False
if frame["IsCascade"].value == True and frame["TrackFit"].pos.z > 370.:
print("Potentially coincident cascade removed...",
frame["I3EventHeader"].run_id,
frame["I3EventHeader"].event_id)
return False
tray.Add(remove_background)
def printy(frame):
del frame["MillipedeDepositedEnergy"]
del frame["TrackEnergy"]
if "MuonLosses" in frame:
losses = frame["MuonLosses"]
first_loss_found = False
deposited_energy = 0
for i in range(0, len(losses)):
if losses[i].pos.z < 500 and losses[
i].pos.z > -500 and math.sqrt(
losses[i].pos.x * losses[i].pos.x +
losses[i].pos.y * losses[i].pos.y) < 550:
deposited_energy = deposited_energy + losses[i].energy
else:
deposited_energy = 0.
frame["MillipedeDepositedEnergy"] = dataclasses.I3Double(
deposited_energy)
frame["TrackEnergy"] = dataclasses.I3Double(deposited_energy)
if frame["IsHese"].value == False and frame[
"IsCascade_reco"].value == False and deposited_energy == 0.:
return False
if frame["IsCascade_reco"] == True and frame[
"L5MonopodFit4"].energy > 6e4:
del frame["IsCascade_reco"]
del frame["IsTrack_reco"]
if frame["TrackLength"] > 550:
frame["IsCascade_reco"] = icetray.I3Bool(False)
frame["IsTrack_reco"] = icetray.I3Bool(True)
else:
frame["IsCascade_reco"] = icetray.I3Bool(True)
frame["IsTrack_reco"] = icetray.I3Bool(False)
if frame["IsCascade_reco"].value == False and frame[
"TrackEnergy"].value > 6e4:
del frame["IsCascade_reco"]
del frame["IsTrack_reco"]
if frame["TrackLength"] > 550:
frame["IsCascade_reco"] = icetray.I3Bool(False)
frame["IsTrack_reco"] = icetray.I3Bool(True)
else:
frame["IsCascade_reco"] = icetray.I3Bool(True)
frame["IsTrack_reco"] = icetray.I3Bool(False)
if frame["IsCascade_reco"].value == True and abs(
frame["L5MonopodFit4"].pos.z) > 550.:
return False
if frame["IsHese"].value == True and frame[
"IsHESE_ck"].value == False and frame[
"CascadeFilter"].value == False: #and frame["L4VetoLayer1"].value<10:
del frame["IsHese"]
frame["IsHese"] = icetray.I3Bool(False)
if frame["IsCascade"].value == True and frame[
"IsCascade_reco"].value == True and (
frame["L5MonopodFit4"].pos.z < -500
or frame["L5MonopodFit4"].pos.z > 500
or numpy.sqrt(frame["L5MonopodFit4"].pos.x *
frame["L5MonopodFit4"].pos.x +
frame["L5MonopodFit4"].pos.y *
frame["L5MonopodFit4"].pos.y) > 550):
print("Cascade event outside of detector... ",
frame["I3EventHeader"].run_id,
frame["I3EventHeader"].event_id)
del frame["IsCascade"]
frame["IsCascade"] = icetray.I3Bool(False)
if frame["IsCascade"].value == True and frame[
"IsCascade_reco"].value == False and (
frame["L4VetoTrackMilliOfflineVetoCharge"].value > 2
or frame['L4VetoTrackMarginMilliOfflineSide'].value < 125):
del frame["IsCascade"]
frame["IsCascade"] = icetray.I3Bool(False)
if frame["IsUpgoingMuon"].value == True:
#print "UpMu event: ", frame["I3EventHeader"].run_id, frame["I3EventHeader"].event_id
return True
elif frame["IsHese"].value == True:
print("HESE event: ", frame["I3EventHeader"].run_id,
frame["I3EventHeader"].event_id)
return True
elif frame["IsCascade"].value == True and frame[
"L4VetoTrackOfflineVetoCharge"].value < 6 and frame[
"L4VetoTrackL5OfflineVetoCharge"].value < 2:
#print "Cascade event: ", frame["I3EventHeader"].run_id, frame["I3EventHeader"].event_id
return True
elif frame["IsCascade"].value == True and frame[
"L4VetoTrackOfflineVetoCharge"].value < 2 and frame[
"L4VetoTrackL5OfflineVetoCharge"].value < 3:
#print "Cascade event: ", frame["I3EventHeader"].run_id, frame["I3EventHeader"].event_id
return True
else:
if ( ( frame['L4UpgoingTrackOfflineVetoCharge'].value > 10 and frame['L4UpgoingTrackOfflineVetoCharge'].value > \
frame['L4VetoTrackOfflineVetoCharge'].value and frame['L4UpgoingTrackOfflineVetoChannels'].value > 3 ) or \
( frame['L4UpgoingTrackSplitVetoCharge'].value > 10 and frame['L4UpgoingTrackSplitVetoCharge'].value > \
frame['L4VetoTrackSplitVetoCharge'].value and frame['L4UpgoingTrackSplitVetoChannels'].value > 3 ) or \
( frame['L4UpgoingTrackMilliOfflineVetoCharge'].value > 10 and frame['L4UpgoingTrackMilliOfflineVetoCharge'].value > \
frame['L4VetoTrackMilliOfflineVetoCharge'].value and frame['L4UpgoingTrackMilliOfflineVetoChannels'].value > 3 and \
frame['L4UpgoingTrackSplitVetoCharge'].value > 6 ) )\
and frame["TrackFit"].dir.zenith>1.5 and frame["MuonFilter"].value==True:# and frame["OnlineL2Filter"].value==True:
del frame["IsUpgoingMuon"]
del frame["IsCascade"]
frame["IsUpgoingMuon"] = icetray.I3Bool(True)
frame["IsCascade"] = icetray.I3Bool(False)
#print "UpMu event!", frame["I3EventHeader"].run_id, frame["I3EventHeader"].event_id
return True
else:
return False
tray.Add(printy, streams=[icetray.I3Frame.Physics])
def bug_filter(frame):
#if frame["I3EventHeader"].run_id==16 and frame["I3EventHeader"].event_id==17967:
# return False
#if frame["I3EventHeader"].run_id==16780 and frame["I3EventHeader"].event_id==34774:
# return False
print(frame["I3EventHeader"].run_id, frame["I3EventHeader"].event_id)
tray.Add(bug_filter,
streams=[icetray.I3Frame.DAQ, icetray.I3Frame.Physics])
tray.AddModule('I3MuonGun::WeightCalculatorModule',
'MuonWeight_Hoerandel5',
Model=MuonGun.load_model('Hoerandel5_atmod12_SIBYLL'),
Generator=generator)
tray.AddModule('I3MuonGun::WeightCalculatorModule',
'MuonWeight_GaisserH4a',
Model=MuonGun.load_model('GaisserH4a_atmod12_SIBYLL'),
Generator=generator)
args = parser.parse_args()
from icecube import icetray, dataclasses, dataio
from icecube import phys_services, simclasses, MuonGun
from I3Tray import I3Tray
from os.path import expandvars
tray = I3Tray()
tray.context['I3RandomService'] = phys_services.I3GSLRandomService(1337)
from icecube.MuonGun.segments import GenerateBundles
outer = MuonGun.Cylinder(1600, 800)
inner = MuonGun.Cylinder(300, 150, dataclasses.I3Position(0, 0, -350))
spectrum = MuonGun.OffsetPowerLaw(5, 1e3, 1e1, 1e4)
model = MuonGun.load_model('GaisserH4a_atmod12_SIBYLL')
generator = MuonGun.EnergyDependentSurfaceInjector(
outer, model.flux, spectrum, model.radius,
MuonGun.ConstantSurfaceScalingFunction(inner))
tray.AddSegment(
GenerateBundles,
'BundleGen',
NEvents=1000,
Generator=generator,
GCDFile=expandvars(
'$I3_TESTDATA/GCD/GeoCalibDetectorStatus_IC86.55697_corrected_V2.i3.gz'
))
class Harvest(icetray.I3ConditionalModule):
def __init__(self, context):
#inner = MuonGun.Cylinder(700, 125, dataclasses.I3Position(29.3,52.6,-150))
#inner = outer
#Most tested spectrum
#spectrum = MuonGun.OffsetPowerLaw(5.0, 7e2, 0, 1e5)
spectrum = MuonGun.OffsetPowerLaw(5.0, 7e2, 500, 1e5)
#Limited spectrum range
#spectrum = MuonGun.OffsetPowerLaw(5.2, 7e2, 150, 1e4)
#spectrum = MuonGun.OffsetPowerLaw(2, 1*I3Units.TeV, 1*I3Units.TeV, 1*I3Units.PeV)
#Good spectrum producing ~1 day with 10k evts above 200 GeV
#spectrum = MuonGun.OffsetPowerLaw(5.2, 7e2, 200, 1e6)
#Jackob's spectrum
#spectrum = MuonGun.OffsetPowerLaw(5.0, 5e2, 200, 1e6)
#Good spectrum producing ~1 day with 5000 evts above 400 GeV
#spectrum = MuonGun.OffsetPowerLaw(5.25, 1000, 1, 1e6)
model = MuonGun.load_model('/home/mamday/icesim/build/MuonGun/resources/tables/GaisserH4a_atmod12_SIBYLL')
#gun = .365e4*MuonGun.EnergyDependentSurfaceInjector(outer, model.flux, spectrum, model.radius,
gun = 5000*MuonGun.EnergyDependentSurfaceInjector(outer, model.flux, spectrum, model.radius,
#gun = 680*MuonGun.EnergyDependentSurfaceInjector(outer, model.flux, spectrum, model.radius,
MuonGun.ConstantSurfaceScalingFunction(inner))
def get_weight(weighter, energy, zenith=numpy.pi/8, scale=True):
# def get_weight(weighter, energy, zenith=0, z=0):
shape = energy.shape
if scale:
x = numpy.array([gun.target_surface(e).radius - 1 for e in energy])
else:
# x = numpy.ones(shape[0])*surface.radius - 1
x = numpy.ones(shape[0])*surface.radius - 1
#inner = outer
#Most tested spectrum
#spectrum = MuonGun.OffsetPowerLaw(5.0, 7e2, 0, 1e5)
spectrum = MuonGun.OffsetPowerLaw(5.0, 7e2, 500, 1e5)
#Limited spectrum range
#spectrum = MuonGun.OffsetPowerLaw(5.2, 7e2, 150, 1e4)
#spectrum = MuonGun.OffsetPowerLaw(2, 1*I3Units.TeV, 1*I3Units.TeV, 1*I3Units.PeV)
#Good spectrum producing ~1 day with 10k evts above 200 GeV
#spectrum = MuonGun.OffsetPowerLaw(5.2, 7e2, 200, 1e6)
#Jackob's spectrum
#spectrum = MuonGun.OffsetPowerLaw(5.0, 5e2, 200, 1e6)
#Good spectrum producing ~1 day with 5000 evts above 400 GeV
#spectrum = MuonGun.OffsetPowerLaw(5.25, 1000, 1, 1e6)
model = MuonGun.load_model(
'/home/mamday/icesim/build/MuonGun/resources/tables/GaisserH4a_atmod12_SIBYLL'
)
#gun = .365e4*MuonGun.EnergyDependentSurfaceInjector(outer, model.flux, spectrum, model.radius,
gun = 5000 * MuonGun.EnergyDependentSurfaceInjector(
outer,
model.flux,
spectrum,
model.radius,
#gun = 680*MuonGun.EnergyDependentSurfaceInjector(outer, model.flux, spectrum, model.radius,
MuonGun.ConstantSurfaceScalingFunction(inner))
def get_weight(weighter, energy, zenith=numpy.pi / 8, scale=True):
# def get_weight(weighter, energy, zenith=0, z=0):
print 'Usage: %prog [options] output.i3 input1.i3 [input2.i3] ...'
sys.exit(1)
tray = I3Tray()
tray.AddModule('I3Reader', 'reader', FilenameList=filenamelist)
#Add muon weight that I guess I should have added before
from icecube import MuonGun, sim_services
from icecube.icetray import I3Units
from icecube.dataclasses import *
from icecube.sim_services.propagation import get_propagators
from icecube.MuonGun.segments import GenerateBundles
from icecube.MuonGun import load_model, EnergyDependentSurfaceInjector, ConstantSurfaceScalingFunction, StaticSurfaceInjector, Cylinder, OffsetPowerLaw
#Flux model
model = MuonGun.load_model('GaisserH4a_atmod12_SIBYLL')
model.flux.min_multiplicity = 1
model.flux.max_multiplicity = 1
#Inner and outher target surfaces
outSurface = Cylinder(1600*I3Units.m, 800*I3Units.m)
inSurface = Cylinder(700*I3Units.m, 125*I3Units.m, I3Position(29.3,52.6,-150))
#Sets energy and spectral index of muons
spectrum = MuonGun.OffsetPowerLaw(5.2, 7e2, 200, 1e6)
#This version only aims at inSurface, but muons originate at outSurface
scaling = MuonGun.ConstantSurfaceScalingFunction(inSurface)
generator = MuonGun.EnergyDependentSurfaceInjector(outSurface, model.flux, spectrum, model.radius, scaling,0,1)
tray.AddModule('I3MuonGun::WeightCalculatorModule', 'MuonWeight',
Model=model, Generator=generator,
)
for k,v in sorted(vars(args).items()):
print( " {0}: {1}".format(k,v))
print "------ end ------ "
#########################
# I3
#########################
tray = I3Tray()
#########################
# FLUX
#########################
# Flux model
model = MuonGun.load_model('GaisserH4a_atmod12_SIBYLL') #TODO Do we need a new fit to the latest CORSIKA (including SYBYLL 2.3c)???
model.flux.min_multiplicity = 1
model.flux.max_multiplicity = 1
# Check the spectral index is negative
# This is for consistency with CORSIKA scripts
# Will convert to a positve number (as MuonGun expects it) later
assert args.power_law_index <= 0., "Spectral index must be negative"
power_law_index = args.power_law_index
positive_power_law_index = -1. * power_law_index
# Muon spectrum (spectral index, break in power law, and energy range)
power_law_offset = args.power_law_offset * icecube.icetray.I3Units.GeV
min_energy = args.min_energy * icecube.icetray.I3Units.GeV
max_energy = args.max_energy * icecube.icetray.I3Units.GeV
spectrum = MuonGun.OffsetPowerLaw(
print DOM_file
f = dataio.I3File(DOM_file)
n_events = 0
for frame in f:
if ("I3RecoPulseSeriesMapGen2" not in frame): continue
if (n_events % 100 == 0):
print "runing event: %s" % str(n_events)
n_events += 1
#propagate muons to surface, if they dont intersect, throw the event away
entering_muon_bool = todet(frame, surface_det)
if not entering_muon_bool: continue
#should we include this cut
if len(frame["I3RecoPulseSeriesMapGen2"]) < 1:
continue #sometimes no charge is even recorded
#first store the event level info like weights energy zeniths etc...
model = MuonGun.load_model('GaisserH4a_atmod12_SIBYLL') #natural rate
muon = frame["MCMuon"]
flux = model.flux(MuonGun.depth(muon.pos.z), np.cos(
muon.dir.zenith), 1) * model.energy(MuonGun.depth(
muon.pos.z), np.cos(muon.dir.zenith), 1, 0, muon.energy)
weight = flux * frame['MuonEffectiveArea'].value
energy = frame["EnteringMuon_0"].energy
cos_zenith = np.cos(frame["EnteringMuon_0"].dir.zenith)
area_eff = frame["MuonEffectiveArea"].value
#now work on the triggers
passes_cut = 0
times = []
ndom = 0
string_dom = ""
spes_times = []
spes = []
def PolyplopiaSegment(
tray,
name,
mctype='CORSIKA',
RandomService=None,
mctree_name="I3MCTree_preMuonProp",
separate_coincident_mctree_name="", # leave empty to combine
bgfile=None,
timewindow=40. * I3Units.microsecond,
rate=float('nan'),
If=lambda f: True):
"""
There are three scenarios for polyplopia:
1. bgfile: We are reading background MC from a separate file and
injecting events to signal (or weighted background) based on
a Poisson distribution within the given time window.
2. we are generating MuonGun bundles and
injecting events to signal (or weighted background) based on
a Poisson distribution within the given time window.
"""
from icecube import polyplopia, MuonGun
#tray.AddModule("ParticleMapper","mapprimary")
if bgfile: # merge bg into signal
background = polyplopia.CoincidentI3ReaderService(bgfile)
else:
# Use MuonGun
# Default: use Hoerandel as a template for generating muons.
model = MuonGun.load_model("Hoerandel5_atmod12_SIBYLL")
#model = MuonGun.load_model('GaisserH4a_atmod12_SIBYLL')
# Generate bundles (even if not 100 percent accurate).
model.flux.max_multiplicity = 100
gamma_index = 2.6
energy_offset = 700.
energy_min = 1e4
energy_max = 1e7
cylinder_length = 1600.
cylinder_radius = 800.
cylinder_x = 0.
cylinder_y = 0.
cylinder_z = 0.
# Default: cylinder aligned with z-axis at detector center as injection
# surface.
outsurface_center = dataclasses.I3Position(cylinder_x * I3Units.m,
cylinder_y * I3Units.m,
cylinder_z * I3Units.m)
outsurface = MuonGun.Cylinder(length=cylinder_length * I3Units.m,
radius=cylinder_radius * I3Units.m,
center=outsurface_center)
generator = MuonGun.NaturalRateInjector(outsurface, model.flux,
model.energy)
background = polyplopia.MuonGunBackgroundService()
background.set_generator(generator)
background.set_rng(RandomService)
background.set_rate(rate)
background.set_mctree_name(mctree_name)
tray.AddModule("PoissonMerger",
"merge",
CoincidentEventService=background,
PrimaryType=mctype,
MCTreeName=mctree_name,
Rate=rate,
SeparateMCTree=separate_coincident_mctree_name,
TimeWindow=timewindow)
return tray
def main(cfg, run_number, scratch):
with open(cfg, 'r') as stream:
if int(yaml.__version__[0]) < 5:
# backwards compatibility for yaml versions before version 5
cfg = yaml.load(stream)
else:
cfg = yaml.full_load(stream)
cfg['run_number'] = run_number
cfg['run_folder'] = get_run_folder(run_number)
tray = I3Tray()
random_services, _ = create_random_services(
dataset_number=cfg['dataset_number'],
run_number=cfg['run_number'],
seed=cfg['seed'],
n_services=2)
random_service, random_service_prop = random_services
tray.context['I3RandomService'] = random_service
model = MuonGun.load_model(cfg['muongun_model'])
model.flux.min_multiplicity = cfg['muongun_min_multiplicity']
model.flux.max_multiplicity = cfg['muongun_max_multiplicity']
spectrum = MuonGun.OffsetPowerLaw(cfg['gamma'],
cfg['e_min'] * icetray.I3Units.GeV,
cfg['e_min'] * icetray.I3Units.GeV,
cfg['e_max'] * icetray.I3Units.GeV)
surface = MuonGun.Cylinder(1600, 800,
dataclasses.I3Position(31.25, 19.64, 0))
if cfg['muongun_generator'] == 'energy':
scale = MuonGun.BasicSurfaceScalingFunction()
scale.SetSideScaling(4., 17266, 3.41, 1.74)
scale.SetCapScaling(4., 23710, 3.40, 1.88)
generator = MuonGun.EnergyDependentSurfaceInjector(
surface, model.flux, spectrum, model.radius, scale)
elif cfg['muongun_generator'] == 'static':
generator = MuonGun.StaticSurfaceInjector(surface, model.flux,
spectrum, model.radius)
elif cfg['muongun_generator'] == 'floodlight':
generator = MuonGun.Floodlight(
surface=surface,
energyGenerator=spectrum,
cosMin=cfg['muongun_floodlight_min_cos'],
cosMax=cfg['muongun_floodlight_max_cos'],
)
else:
err_msg = 'MuonGun generator {} is not known.'
err_msg += " Must be 'energy','static' or 'floodlight"
raise ValueError(err_msg.format(cfg['muongun_generator']))
tray.Add(MuonGun.segments.GenerateBundles,
'MuonGenerator',
Generator=generator,
NEvents=cfg['n_events_per_run'],
GCDFile=cfg['gcd'])
tray.Add("Rename", keys=["I3MCTree", "I3MCTree_preMuonProp"])
tray.AddSegment(segments.PropagateMuons,
"PropagateMuons",
RandomService=random_service_prop,
**cfg['muon_propagation_config'])
if scratch:
outfile = cfg['scratchfile_pattern'].format(**cfg)
else:
outfile = cfg['outfile_pattern'].format(**cfg)
outfile = outfile.replace(' ', '0')
if cfg['distance_splits'] is not None:
click.echo('SplittingDistance: {}'.format(cfg['distance_splits']))
distance_splits = np.atleast_1d(cfg['distance_splits'])
dom_limits = np.atleast_1d(cfg['threshold_doms'])
if len(dom_limits) == 1:
dom_limits = np.ones_like(distance_splits) * cfg['threshold_doms']
oversize_factors = np.atleast_1d(cfg['oversize_factors'])
order = np.argsort(distance_splits)
distance_splits = distance_splits[order]
dom_limits = dom_limits[order]
oversize_factors = oversize_factors[order]
stream_objects = generate_stream_object(distance_splits, dom_limits,
oversize_factors)
tray.AddModule(OversizeSplitterNSplits,
"OversizeSplitterNSplits",
thresholds=distance_splits,
thresholds_doms=dom_limits,
oversize_factors=oversize_factors)
for stream_i in stream_objects:
outfile_i = stream_i.transform_filepath(outfile)
tray.AddModule("I3Writer",
"writer_{}".format(stream_i.stream_name),
Filename=outfile_i,
Streams=[
icetray.I3Frame.DAQ, icetray.I3Frame.Physics,
icetray.I3Frame.Stream('S'),
icetray.I3Frame.Stream('M')
],
If=stream_i)
click.echo('Output ({}): {}'.format(stream_i.stream_name,
outfile_i))
else:
click.echo('Output: {}'.format(outfile))
tray.AddModule("I3Writer",
"writer",
Filename=outfile,
Streams=[
icetray.I3Frame.DAQ, icetray.I3Frame.Physics,
icetray.I3Frame.Stream('S'),
icetray.I3Frame.Stream('M')
])
click.echo('Scratch: {}'.format(scratch))
tray.AddModule("TrashCan", "the can")
tray.Execute()
tray.Finish()
def main(cfg, run_number, scratch):
with open(cfg, 'r') as stream:
cfg = yaml.load(stream)
cfg['run_number'] = run_number
cfg['run_folder'] = get_run_folder(run_number)
tray = I3Tray()
random_service, random_service_prop, _ = create_random_services(
dataset_number=cfg['dataset_number'],
run_number=cfg['run_number'],
seed=cfg['seed'])
tray.context['I3RandomService'] = random_service
model = MuonGun.load_model(cfg['muongun_model'])
model.flux.min_multiplicity = cfg['muongun_min_multiplicity']
model.flux.max_multiplicity = cfg['muongun_max_multiplicity']
spectrum = MuonGun.OffsetPowerLaw( cfg['gamma'],
cfg['e_min']*icetray.I3Units.TeV,
cfg['e_min']*icetray.I3Units.TeV,
cfg['e_max']*icetray.I3Units.TeV)
surface = MuonGun.Cylinder(1600, 800,
dataclasses.I3Position(31.25, 19.64, 0))
if cfg['muongun_generator'] == 'energy':
scale = MuonGun.BasicSurfaceScalingFunction()
scale.SetSideScaling(4., 17266, 3.41, 1.74)
scale.SetCapScaling(4., 23710, 3.40, 1.88)
generator = MuonGun.EnergyDependentSurfaceInjector(surface,
model.flux,
spectrum,
model.radius,
scale)
elif cfg['muongun_generator'] == 'static':
generator = MuonGun.StaticSurfaceInjector(surface,
model.flux,
spectrum,
model.radius)
elif cfg['muongun_generator'] =='floodlight':
generator = MuonGun.Floodlight(surface = surface,
energyGenerator=spectrum,
cosMin=cfg['muongun_floodlight_min_cos'],
cosMax=cfg['muongun_floodlight_max_cos'],
)
else:
err_msg = 'MuonGun generator {} is not known.'
err_msg += " Must be 'energy','static' or 'floodlight"
raise ValueError(err_msg.format(cfg['muongun_generator']))
tray.Add(MuonGun.segments.GenerateBundles, 'MuonGenerator',
Generator=generator,
NEvents=cfg['n_events_per_run'],
GCDFile=cfg['gcd'])
tray.Add("Rename", keys=["I3MCTree", "I3MCTree_preMuonProp"])
tray.AddSegment(
segments.PropagateMuons,
"PropagateMuons",
RandomService=random_service_prop)
if scratch:
outfile = cfg['scratchfile_pattern'].format(**cfg)
else:
outfile = cfg['outfile_pattern'].format(**cfg)
outfile = outfile.replace(' ', '0')
outfile = outfile.replace('.bz2', '')
tray.AddModule("I3Writer", "writer",
Filename=outfile,
Streams=[icetray.I3Frame.DAQ,
icetray.I3Frame.Physics,
icetray.I3Frame.Stream('S'),
icetray.I3Frame.Stream('M')])
tray.AddModule("TrashCan", "the can")
tray.Execute()
tray.Finish()
def main(cfg, run_number, scratch):
with open(cfg, 'r') as stream:
cfg = yaml.load(stream, Loader=yaml.Loader)
cfg['run_number'] = run_number
cfg['run_folder'] = get_run_folder(run_number)
if scratch:
outfile = cfg['scratchfile_pattern'].format(**cfg)
else:
outfile = cfg['outfile_pattern'].format(**cfg)
outfile = outfile.replace(' ', '0')
if cfg['distance_splits'] is not None:
click.echo('SplittingDistances: {}'.format(cfg['distance_splits']))
click.echo('Oversizefactors: {}'.format(cfg['oversize_factors']))
click.echo('NEvents: {}'.format(cfg['n_events_per_run']))
click.echo('EMin: {}'.format(cfg['e_min']))
click.echo('EMax: {}'.format(cfg['e_max']))
click.echo('EBreak: {}'.format(cfg['muongun_e_break']))
click.echo('Gamma: {}'.format(cfg['gamma']))
click.echo('ZenithMin: {}'.format(cfg['zenith_min']))
click.echo('ZenithMax: {}'.format(cfg['zenith_max']))
# create convex hull
if 'use_convex_hull' in cfg and cfg['use_convex_hull']:
# hardcode icecube corner points
# ToDo: read from geometry file
points = [
[-570.90002441, -125.13999939, 501], # string 31
[-256.14001465, -521.08001709, 501], # string 1
[361., -422.82998657, 501], # string 6
[576.36999512, 170.91999817, 501], # string 50
[338.44000244, 463.72000122, 501], # string 74
[101.04000092, 412.79000854, 501], # string 72
[22.11000061, 509.5, 501], # string 78
[-347.88000488, 451.51998901, 501], # string 75
[-570.90002441, -125.13999939, -502], # string 31
[-256.14001465, -521.08001709, -502], # string 1
[361., -422.82998657, -502], # string 6
[576.36999512, 170.91999817, -502], # string 50
[338.44000244, 463.72000122, -502], # string 74
[101.04000092, 412.79000854, -502], # string 72
[22.11000061, 509.5, -502], # string 78
[-347.88000488, 451.51998901, -502], # string 75
]
convex_hull = ConvexHull(points)
else:
convex_hull = None
if 'extend_past_hull' not in cfg:
cfg['extend_past_hull'] = 0.0
random_services, _ = create_random_services(
dataset_number=cfg['dataset_number'],
run_number=cfg['run_number'],
seed=cfg['seed'],
n_services=2)
random_service, random_service_prop = random_services
# create muon
muon = create_muon(
azimuth_range=[cfg['azimuth_min'], cfg['azimuth_max']],
zenith_range=[cfg['zenith_min'], cfg['zenith_max']],
energy_range=[cfg['e_min'], cfg['e_max']],
anchor_time_range=cfg['anchor_time_range'],
anchor_x_range=cfg['anchor_x_range'],
anchor_y_range=cfg['anchor_y_range'],
anchor_z_range=cfg['anchor_z_range'],
length_to_go_back=cfg['length_to_go_back'],
convex_hull=convex_hull,
extend_past_hull=cfg['extend_past_hull'],
random_service=random_services[0],
)
tray = I3Tray()
tray.context['I3RandomService'] = random_service
tray.AddModule("I3InfiniteSource",
"TheSource",
Prefix=cfg['gcd'],
Stream=icetray.I3Frame.DAQ)
if cfg['MuonGenerator'] == 'MuonGunSinglemuons':
tray.AddSegment(segments.GenerateSingleMuons,
"GenerateCosmicRayMuons",
NumEvents=cfg['n_events_per_run'],
FromEnergy=cfg['e_min'] * icetray.I3Units.GeV,
ToEnergy=cfg['e_max'] * icetray.I3Units.GeV,
BreakEnergy=cfg['muongun_e_break'] *
icetray.I3Units.GeV,
GammaIndex=cfg['gamma'],
ZenithRange=[
cfg['zenith_min'] * icetray.I3Units.deg,
cfg['zenith_max'] * icetray.I3Units.deg
])
elif cfg['MuonGenerator'] == 'MuonGunGeneral':
model = MuonGun.load_model(cfg['muongun_model'])
model.flux.min_multiplicity = cfg['muongun_min_multiplicity']
model.flux.max_multiplicity = cfg['muongun_max_multiplicity']
spectrum = MuonGun.OffsetPowerLaw(cfg['gamma'],
cfg['e_min'] * icetray.I3Units.GeV,
cfg['e_min'] * icetray.I3Units.GeV,
cfg['e_max'] * icetray.I3Units.GeV)
surface = MuonGun.Cylinder(1600, 800,
dataclasses.I3Position(31.25, 19.64, 0))
if cfg['muongun_generator'] == 'energy':
scale = MuonGun.BasicSurfaceScalingFunction()
scale.SetSideScaling(4., 17266, 3.41, 1.74)
scale.SetCapScaling(4., 23710, 3.40, 1.88)
generator = MuonGun.EnergyDependentSurfaceInjector(
surface, model.flux, spectrum, model.radius, scale)
elif cfg['muongun_generator'] == 'static':
generator = MuonGun.StaticSurfaceInjector(surface, model.flux,
spectrum, model.radius)
elif cfg['muongun_generator'] == 'floodlight':
generator = MuonGun.Floodlight(
surface=surface,
energyGenerator=spectrum,
cosMin=cfg['muongun_floodlight_min_cos'],
cosMax=cfg['muongun_floodlight_max_cos'],
)
else:
err_msg = 'MuonGun generator {} is not known.'
err_msg += " Must be 'energy','static' or 'floodlight"
raise ValueError(err_msg.format(cfg['muongun_generator']))
tray.Add(MuonGun.segments.GenerateBundles,
'MuonGenerator',
Generator=generator,
NEvents=cfg['n_events_per_run'],
GCDFile=cfg['gcd'])
tray.Add("Rename", keys=["I3MCTree", "I3MCTree_preMuonProp"])
elif cfg['MuonGenerator'] == 'MuonResimulation':
tray.AddModule(ParticleMultiplier,
'make_particles',
num_events=cfg['n_events_per_run'],
primary=muon)
else:
err_msg = 'MuonGenerator {} is not known.'
err_msg += " Must be 'MuonGunSinglemuons','MuonGunGeneral' or 'MuonResimulation"
raise ValueError(err_msg.format(cfg['MuonGenerator']))
# --------------------------------------
# Propagate Muons
# --------------------------------------
tray.AddSegment(segments.PropagateMuons,
"PropagateMuons",
RandomService=random_service_prop,
**cfg['muon_propagation_config'])
# --------------------------------------
# Distance Splits
# --------------------------------------
if cfg['distance_splits'] is not None:
click.echo('SplittingDistance: {}'.format(cfg['distance_splits']))
distance_splits = np.atleast_1d(cfg['distance_splits'])
dom_limits = np.atleast_1d(cfg['threshold_doms'])
if len(dom_limits) == 1:
dom_limits = np.ones_like(distance_splits) * cfg['threshold_doms']
oversize_factors = np.atleast_1d(cfg['oversize_factors'])
order = np.argsort(distance_splits)
distance_splits = distance_splits[order]
dom_limits = dom_limits[order]
oversize_factors = oversize_factors[order]
stream_objects = generate_stream_object(distance_splits, dom_limits,
oversize_factors)
tray.AddModule(OversizeSplitterNSplits,
"OversizeSplitterNSplits",
thresholds=distance_splits,
thresholds_doms=dom_limits,
oversize_factors=oversize_factors)
for stream_i in stream_objects:
outfile_i = stream_i.transform_filepath(outfile)
tray.AddModule("I3Writer",
"writer_{}".format(stream_i.stream_name),
Filename=outfile_i,
Streams=[
icetray.I3Frame.DAQ, icetray.I3Frame.Physics,
icetray.I3Frame.Stream('S'),
icetray.I3Frame.Stream('M')
],
If=stream_i)
click.echo('Output ({}): {}'.format(stream_i.stream_name,
outfile_i))
else:
click.echo('Output: {}'.format(outfile))
tray.AddModule("I3Writer",
"writer",
Filename=outfile,
Streams=[
icetray.I3Frame.DAQ, icetray.I3Frame.Physics,
icetray.I3Frame.Stream('S'),
icetray.I3Frame.Stream('M')
])
click.echo('Scratch: {}'.format(scratch))
tray.Execute()
del tray
