def DAQ(self, frame):
daughter = I3Particle()
daughter.type = self.particleType
daughter.energy = self.energy
daughter.pos = I3Position(self.xCoord, self.yCoord, self.zCoord)
daughter.dir = I3Direction(self.zenith, self.azimuth)
daughter.time = 0.
daughter.location_type = I3Particle.LocationType.InIce
primary = I3Particle()
primary.type = I3Particle.ParticleType.NuMu
primary.energy = self.energy
primary.pos = I3Position(self.xCoord, self.yCoord, self.zCoord)
primary.dir = I3Direction(0., 0., -1.)
primary.time = 0.
primary.location_type = I3Particle.LocationType.Anywhere
mctree = I3MCTree()
mctree.add_primary(primary)
mctree.append_child(primary, daughter)
frame['I3MCTree'] = mctree
self.PushFrame(frame)
self.eventCounter += 1
if self.eventCounter == self.nEvents:
self.RequestSuspension()
def oscNext_L7_compute_reconstruction_comparisons(frame):
'''
Compare RetroReco and SANTA
'''
from icecube.dataclasses import I3Direction
from icecube.oscNext.frame_objects.geom import angular_comparison
#
# Compute the angle between Retro Santa recostructed directions
#
# Get best SANTA fit
santa_bestfit = frame[SANTA_BEST_KEY] if frame.Has(
SANTA_BEST_KEY) else None
# Get directions to compare
santa_bestfit_dir = santa_bestfit.dir if santa_bestfit is not None else I3Direction(
) # Null if nothing is there
retro_bestfit_dir = I3Direction(frame[L7_FINAL_RECO_ZENITH_KEY].value,
frame[L7_FINAL_RECO_AZIMUTH_KEY].value)
# Compare
frame[L7_SANTA_RETRO_ANGLE_DIFF_KEY] = angular_comparison(
santa_bestfit_dir, retro_bestfit_dir)
def makeFlasherPulse(x, y, z, zenith, azimuth, width, brightness, scale):
pulse = I3CLSimFlasherPulse()
pulse.type = I3CLSimFlasherPulse.FlasherPulseType.LED405nm
pulse.pos = I3Position(x, y, z)
pulse.dir = I3Direction(zenith, azimuth)
pulse.time = 0.
pulse.pulseWidth = (float(width) / 2.) * I3Units.ns
lightscale = 1. / (
32582 * 5.21
) # scale down to match 1 GeV equivalent electromagnetic cascade energy
pulse.numberOfPhotonsNoBias = 1.17e10 * lightscale * scale * (
0.0006753 +
0.00005593 * float(brightness)) * (float(width) + 13.9 -
(57.5 /
(1. + float(brightness) / 34.4)))
if numpy.abs(zenith - 90. * I3Units.degree) > 22.5 * I3Units.degree:
tiltedFlasher = True # this is only a rough approximation to describe a tilted flasher
else:
tiltedFlasher = False
pulse.angularEmissionSigmaPolar = FlasherInfoVectToFlasherPulseSeriesConverter.LEDangularEmissionProfile[
(pulse.type, tiltedFlasher)][0]
pulse.angularEmissionSigmaAzimuthal = FlasherInfoVectToFlasherPulseSeriesConverter.LEDangularEmissionProfile[
(pulse.type, tiltedFlasher)][1]
return pulse
def build_i3_particle(reco_pars, particle_type):
"""build an I3Particle from reco parameters"""
from icecube.dataclasses import I3Particle, I3Constants, I3Position, I3Direction
from icecube.icetray import I3Units
shape_map = dict(
cascade=I3Particle.ParticleShape.Cascade,
track=I3Particle.ParticleShape.ContainedTrack,
neutrino=I3Particle.ParticleShape.Primary,
)
particle = I3Particle()
if reco_pars["success"]:
particle.fit_status = I3Particle.FitStatus.OK
else:
particle.fit_status = I3Particle.GeneralFailure
particle.dir = I3Direction(reco_pars["zenith"], reco_pars["azimuth"])
particle.energy = _energy_getters[particle_type](reco_pars) * I3Units.GeV
particle.pdg_encoding = I3Particle.ParticleType.unknown
particle.pos = I3Position(*(reco_pars[d] * I3Units.m
for d in ("x", "y", "z")))
particle.shape = shape_map[particle_type]
particle.time = reco_pars["time"] * I3Units.ns
particle.speed = I3Constants.c
if particle_type == "track":
particle.length = particle.energy * TRACK_M_PER_GEV * I3Units.m
else:
particle.length = np.nan
return particle
def random_points(radius, npoints=10000):
r = numpy.random.uniform(0, radius**3, size=npoints)**(1. / 3)
azi = numpy.random.uniform(0, 2 * numpy.pi, size=2 * npoints)
zen = numpy.arccos(numpy.random.uniform(-1, 1, size=2 * npoints))
return [
(I3Position(r_, z1_, a1_, I3Position.sph), I3Direction(z2_, a2_))
for r_, z1_, a1_, z2_, a2_ in zip(r, zen[:npoints], azi[:npoints],
zen[npoints:], azi[npoints:])
]
def reference_source(zenith, azimuth, scale):
source = I3Particle()
source.type = ptype
source.energy = Energy * scale
source.pos = I3Position(0., 0., ZCoordinate)
source.dir = I3Direction(zenith, azimuth)
source.time = 0.
source.length = 0.
source.location_type = I3Particle.LocationType.InIce
return source
def reference_source(x, y, z, zenith, azimuth, scale):
source = I3Particle()
source.pos = I3Position(x, y, z)
source.dir = I3Direction(zenith, azimuth)
source.time = 0.0
# Following are not used (at least not yet)
source.type = I3Particle.ParticleType.EMinus
source.energy = 1.0 * scale
source.length = 0.0
source.location_type = I3Particle.LocationType.InIce
return source
def reference_source(zenith, azimuth, scale):
source = I3Particle()
source.type = ptype
source.energy = Energy*scale
source.dir = I3Direction(zenith, azimuth)
source.pos = surface.sample_impact_position(source.dir, randomService)
crossings = surface.intersection(source.pos, source.dir)
source.length = crossings.second-crossings.first
source.time = 0.
source.location_type = I3Particle.LocationType.InIce
return source
def get_direction(geometry, pulses, barycenter, barytime, front_time):
import numpy
from icecube.dataclasses import I3Constants
from icecube.dataclasses import I3Direction
sumw = 0
sumx = 0
sumy = 0
sumx2 = 0
sumy2 = 0
sumxy = 0
sumt = 0
sumxt = 0
sumyt = 0
for k in pulses.keys():
for launch, p in enumerate(pulses[k]):
dx = tank_geometry(geometry, k).position.x - barycenter.x
dy = tank_geometry(geometry, k).position.y - barycenter.y
dt = p.time - barytime
sumx += dx
sumy += dy
sumx2 += dx * dx
sumy2 += dy * dy
sumxy += dx * dy
sumt += dt
sumxt += dt * dx
sumyt += dt * dy
rxx = sumw * sumy2 - sumy * sumy
ryy = sumw * sumx2 - sumx * sumx
rxy = sumx * sumy - sumw * sumxy
rx = sumxy * sumy - sumx * sumy2
ry = sumxy * sumx - sumy * sumx2
rr = sumx2 * sumy2 - sumxy * sumxy
deter = sumx2 * rxx + sumxy * rxy + sumx * rx
if deter == 0 or deter is numpy.nan:
return None
u = (rxx * sumxt + rxy * sumyt + rx * sumt) / deter
u *= -I3Constants.c
v = (rxy * sumxt + ryy * sumyt + ry * sumt) / deter
v *= -I3Constants.c
t0 = (rx * sumxt + ry * sumyt + rr * sumt) / deter
return I3Direction(u, v, numpy.sqrt(u * u + v * v))
def make_retro_pulse(x, y, z, zenith, azimuth):
"""Retro pulses originate from a DOM with an (x, y, z) coordinate and
(potentially) a zenith and azimuth orientation (though for now the latter
are ignored).
"""
pulse = I3CLSimFlasherPulse()
pulse.type = I3CLSimFlasherPulse.FlasherPulseType.retro
pulse.pos = I3Position(x, y, z)
pulse.dir = I3Direction(zenith, azimuth)
pulse.time = 0.0
pulse.numberOfPhotonsNoBias = 10000.
# Following values don't make a difference
pulse.pulseWidth = 1.0 * I3Units.ns
pulse.angularEmissionSigmaPolar = 360.0 * I3Units.deg
pulse.angularEmissionSigmaAzimuthal = 360.0 * I3Units.deg
return pulse
track_energy
cascade_energy
Returns
-------
total_energy
"""
return const_en_to_gms_en(track_energy) + em2hadr(cascade_energy)
DEFAULT_I3PARTICLE_ATTRS = {
"dir":
dict(
fields=["zenith", "azimuth"],
func=lambda zenith, azimuth: I3Direction(float(zenith), float(azimuth)
),
),
"energy":
dict(fields="energy", func=None, units=I3Units.GeV),
"fit_status":
dict(fields="fit_status", func=I3Particle.FitStatus),
"length":
dict(value=np.nan, units=I3Units.m),
# "location_type" deprecated according to `dataclasses/resources/docs/particle.rst`
"pdg_encoding":
dict(value=I3Particle.ParticleType.unknown),
"pos.x":
dict(fields="x", units=I3Units.m),
"pos.y":
dict(fields="y", units=I3Units.m),
"pos.z":
pu = ParticleUnthinner(30, 10, 8)
def add_sta(xt, yt):
pu.add_station(I3Position(xt, yt - 10, -2.5),
I3Position(xt, yt + 10, -2.5), 5.0, 5.0)
add_sta(-10, 0)
add_sta(+10, 0)
for zenith in (0.0, 30.0 * I3Units.degree):
part = I3Particle()
part.pos = I3Position(0, 0, 0)
part.dir = I3Direction(zenith, zenith)
part.time = 10 * I3Units.ns
pu.set_primary(part)
npart = 100000
ext = pu.grid_rmax / np.cos(zenith)
xp = ext * (2 * np.random.rand(npart) - 1)
yp = ext * (2 * np.random.rand(npart) - 1)
particles = []
hitmask = []
stations = pu.stations
dummy = I3Particle()
weight = 1.0
for x, y in zip(xp, yp):
p = ExtendedI3Particle()
p.type = I3Particle.MuMinus
cpp_surface.area(dir))
# test acceptance calculation
ct = numpy.random.uniform(-1, 1, size=2 * 1000).reshape(2, 1000)
ct.sort(axis=0)
for ct_lo, ct_hi in ct.T:
py_acceptance = py_surface.entendue(ct_lo, ct_hi)
cpp_acceptance = cpp_surface.acceptance(ct_lo, ct_hi)
numpy.testing.assert_almost_equal(py_acceptance, cpp_acceptance)
rng = I3GSLRandomService(1)
# test area sampling
pos, dir = cpp_surface.sample_impact_ray(rng)
sampler = AxialCylinder(1000, 1000)
volume = py_surface.length * py_surface.area(I3Direction(0, 0))
# compare volume and projected area to sampled versions
for i, (pos, dir) in enumerate(random_points(0, 10)):
nsamples = 50000
hits = 0
depth = 0.
for _ in range(nsamples):
pos = sampler.sample_impact_position(dir, rng)
intersections = cpp_surface.intersection(pos, dir)
if numpy.isfinite(intersections.first):
hits += 1
depth += (intersections.second - intersections.first)
numpy.testing.assert_allclose(
float(hits) / nsamples,
py_surface.area(dir) / sampler.area(dir),
rtol=2e-2,
from matplotlib.patches import Circle, Polygon
import numpy as np
import sys
import random
from scipy.stats import poisson
np.random.seed(1)
rng = I3GSLRandomService(1)
pu = ParticleUnthinner(20, 10, 16)
pu.add_station(I3Position(100, -1.5, -2.5), I3Position(100, 1.5, 2.5), 1, 1)
part = I3Particle()
part.pos = I3Position(0, 0, 0)
part.dir = I3Direction(0, 0)
part.time = 10 * I3Units.ns
pu.set_primary(part)
show_scenario = False
if show_scenario:
plt.figure()
# draw tanks and sampling regions
x = []
y = []
for sta in pu.stations:
for pos in sta.pos:
c = Circle((pos.x, pos.y), sta.radius)
plt.gca().add_artist(c)
r1, r2 = sta.ring_radius
phi1, phi2 = sta.ring_phi
