def Physics(self, frame):
track = frame[self.track]
frame[
'I3RecoPulseSeriesMap_union'] = dataclasses.I3RecoPulseSeriesMapUnion(
frame, self.pulses)
pulse_map = dataclasses.I3RecoPulseSeriesMap.from_frame(
frame, 'I3RecoPulseSeriesMap_union')
tanks_dist, tanks_charge = [], []
for omkey, pulses in pulse_map:
# Get distance of clostest approach to DOM from track
dist = self.get_dist(track, self.geomap[omkey].position)
tanks_dist.append(dist)
# Get charge recorded in DOM
charge = sum([pulse.charge for pulse in pulses])
tanks_charge.append(charge)
# dist_bins = np.linspace(10, 1000, 100)
dist_bins = np.logspace(2, 3, 25)
if tanks_dist and tanks_charge:
# ldf, _ = np.histogram(np.log10(tanks_dist), bins=dist_bins,
# weights=tanks_charge)
ldf, _ = np.histogram(tanks_dist,
bins=dist_bins,
weights=tanks_charge)
else:
ldf = np.zeros(len(dist_bins) - 1, dtype=float)
frame['tank_charge_v_dist'] = dataclasses.I3VectorDouble(ldf)
del frame['I3RecoPulseSeriesMap_union']
self.PushFrame(frame)
def dstofflinemerge(frame, Output='', Input=[]):
rootpulses = []
for i in Input:
if not i in frame:
continue
rootpulses.append(i)
frame[Output] = dataclasses.I3RecoPulseSeriesMapUnion(frame, rootpulses)
def Unify(frame, Keys, Output):
"""
Simple utility to merge RecoPulseSerieses into a single Union.
"""
extants = [k for k in Keys if k in frame]
union = dataclasses.I3RecoPulseSeriesMapUnion(frame, extants)
frame[Output] = union
def Physics(self, frame):
pulses_key = 'I3RecoPulseSeriesMap_union'
frame[pulses_key] = dataclasses.I3RecoPulseSeriesMapUnion(
frame, self.pulses)
pulse_map = dataclasses.I3RecoPulseSeriesMap.from_frame(
frame, pulses_key)
tank_x, tank_y, tank_charge = [], [], []
for omkey, pulses in pulse_map:
x, y, z = self.geomap[omkey].position
tank_x.append(x)
tank_y.append(y)
# Check for nan charges
charge = 0
for pulse in pulses:
if pulse.charge != NaN:
charge += pulse.charge
else:
print('pulse.charge is NaN!!')
# charge = sum([pulse.charge for pulse in pulses])
tank_charge.append(charge)
if tank_x and tank_y and tank_charge:
tank_charge = np.nan_to_num(tank_charge)
frame['tank_x'] = dataclasses.I3VectorDouble(tank_x)
frame['tank_y'] = dataclasses.I3VectorDouble(tank_y)
frame['tank_charge'] = dataclasses.I3VectorDouble(tank_charge)
# hist, _, _ = np.histogram2d(tanks_x, tanks_y,
# bins=[self.xbins, self.ybins],
# weights=tanks_charge)
# self.hists.append(hist)
# event_header = frame['I3EventHeader']
# event_id = '{}_{}_{}_{}'.format(self.sim,
# event_header.run_id,
# event_header.event_id,
# event_header.sub_event_id)
# self.event_ids.append(event_id)
del frame[pulses_key]
self.PushFrame(frame)
def Physics(self, frame):
frame[
'I3RecoPulseSeriesMap_union'] = dataclasses.I3RecoPulseSeriesMapUnion(
frame, self.pulses)
pulse_map = dataclasses.I3RecoPulseSeriesMap.from_frame(
frame, 'I3RecoPulseSeriesMap_union')
tanks_x, tanks_y, tanks_charge = [], [], []
for omkey, pulses in pulse_map:
x, y, z = self.geomap[omkey].position
tanks_x.append(x)
tanks_y.append(y)
charge = sum([pulse.charge for pulse in pulses])
tanks_charge.append(charge)
if tanks_x and tanks_y and tanks_charge:
frame['tanks_x'] = dataclasses.I3VectorDouble(tanks_x)
frame['tanks_y'] = dataclasses.I3VectorDouble(tanks_y)
frame['tanks_charge'] = dataclasses.I3VectorDouble(tanks_charge)
del frame['I3RecoPulseSeriesMap_union']
self.PushFrame(frame)
def add_IceTop_tankXYcharge(frame, pulses):
frame[
'I3RecoPulseSeriesMap_union'] = dataclasses.I3RecoPulseSeriesMapUnion(
frame, pulses)
pulse_map = dataclasses.I3RecoPulseSeriesMap.from_frame(
frame, 'I3RecoPulseSeriesMap_union')
geomap = frame['I3Geometry'].omgeo
tanks_x, tanks_y, tanks_charge = [], [], []
for omkey, pulses in pulse_map:
x, y, z = geomap[omkey].position
tanks_x.append(x)
tanks_y.append(y)
charge = sum([pulse.charge for pulse in pulses])
tanks_charge.append(charge)
if tanks_x and tanks_y and tanks_charge:
frame['tanks_x'] = dataclasses.I3VectorDouble(tanks_x)
frame['tanks_y'] = dataclasses.I3VectorDouble(tanks_y)
frame['tanks_charge'] = dataclasses.I3VectorDouble(tanks_charge)
del frame['I3RecoPulseSeriesMap_union']
def Physics(self, frame):
union_key = 'I3RecoPulseSeriesMap_union'
frame[union_key] = dataclasses.I3RecoPulseSeriesMapUnion(
frame, self.pulses)
pulse_map = dataclasses.I3RecoPulseSeriesMap.from_frame(
frame, union_key)
# tanks_x, tanks_y, tanks_charge = [], [], []
tank_charges = defaultdict(list)
# tank_x = defaultdict(list)
# tank_y = defaultdict(list)
for omkey, omgeo in self.geomap:
# Only interested in saving IceTop OM charges
if omgeo.omtype.name != 'IceTop':
continue
# x, y, z = omgeo.position
# tank_x[omkey].append(x)
# tank_y[omkey].append(y)
try:
pulses = pulse_map[omkey]
charge = sum([pulse.charge for pulse in pulses])
except KeyError:
charge = 0
tank_charges[omkey].append(charge)
# if tanks_x and tanks_y and tanks_charge:
# frame['tanks_x'] = dataclasses.I3VectorDouble(tanks_x)
# frame['tanks_y'] = dataclasses.I3VectorDouble(tanks_y)
# frame['tanks_charge'] = dataclasses.I3VectorDouble(tanks_charge)
# self.tank_charges.append(pd.DataFrame(tank_charges))
del frame[union_key]
frame['NNcharges'] = dataclasses.I3MapKeyVectorDouble(tank_charges)
print(frame['NNcharges'])
# frame['tank_x'] = dataclasses.I3MapKeyVectorDouble(tank_x)
# frame['tank_y'] = dataclasses.I3MapKeyVectorDouble(tank_y)
self.PushFrame(frame)
def slopunion(frame):
slopunion = dataclasses.I3RecoPulseSeriesMapUnion(
frame, ["SLOPPOZELA_Pulses", "SLOPPORATOR_Pulses"])
frame["SLOP_Pulses"] = slopunion
return True
def Physics(self, frame):
track = frame[self.track]
x_track, y_track, z_track = track.pos
frame[
'I3RecoPulseSeriesMap_union'] = dataclasses.I3RecoPulseSeriesMapUnion(
frame, self.pulses)
pulse_map = dataclasses.I3RecoPulseSeriesMap.from_frame(
frame, 'I3RecoPulseSeriesMap_union')
charges = []
dists = []
for omkey, omgeo in self.geomap:
# Only interested in saving IceTop OM charges
if omgeo.omtype.name != 'IceTop':
continue
try:
pulses = pulse_map[omkey]
charge = sum([pulse.charge for pulse in pulses])
x, y, z = omgeo.position
dist = np.sqrt((x - x_track)**2 + (y - y_track)**2)
except KeyError:
continue
charges.append(charge)
dists.append(dist)
# tanks_dist, tanks_charge = [], []
# for omkey, pulses in pulse_map:
# # Get distance of clostest approach to DOM from track
# dist = self.get_dist(track, self.geomap[omkey].position)
# tanks_dist.append(dist)
# # Get charge recorded in DOM
# charge = sum([pulse.charge for pulse in pulses])
# tanks_charge.append(charge)
if dists and charges:
# frame.Put('tanks_charge_{}'.format(self.track), dataclasses.I3VectorDouble(tanks_charge))
# frame.Put('tanks_dist_{}'.format(self.track), dataclasses.I3VectorDouble(tanks_dist))
# frame.Put('IceTop_charge', dataclasses.I3Double( np.sum(charges) ))
# Convert to ndarrays for easy array manipulation
dists = np.asarray(dists)
charges = np.asarray(charges)
# Sometimes there are nan pulses...not sure why
charges = np.nan_to_num(charges)
distance_mask = dists >= self.min_dist
total_charge = np.sum(charges[distance_mask])
else:
total_charge = 0.0
if np.isnan(total_charge).any():
print('total_charge = {}'.format(total_charge))
print('dists = {}'.format(dists))
print('charges = {}'.format(charges))
print('distance_mask = {}'.format(distance_mask))
print('self.min_dist = {}'.format(self.min_dist))
total_charge = dataclasses.I3Double(total_charge)
frame.Put('IceTop_charge_beyond_{}m'.format(self.min_dist),
total_charge)
#
# try:
# lap_params = frame['LaputopParams']
# lap_log_s125 = lap_params.value(recclasses.LaputopParameter.Log10_S125)
# lap_beta = lap_params.value(recclasses.LaputopParameter.Beta)
# tank_dist_mask = tanks_dist > 11
# # beta, log_s125 = fit_DLP_params(tanks_charge[distance_mask],
# # tanks_dist[distance_mask], lap_log_s125, lap_beta)
# log_s125, beta = fit_DLP_params(tanks_charge[distance_mask],
# tanks_dist[distance_mask], lap_log_s125, lap_beta)
# # print('lap_beta, refit_beta = {}, {}'.format(lap_beta, beta))
# # print('lap_log_s125, refit_log_s125 = {}, {}'.format(lap_log_s125, log_s125))
# # print('='*20)
# except Exception as e:
# print('Refitting shower to DLP didn\'t work out. '
# 'Setting to NaN...')
# print(e)
# log_s125, beta = NaN, NaN
# pass
# frame.Put('refit_beta', dataclasses.I3Double(beta))
# frame.Put('refit_log_s125', dataclasses.I3Double(log_s125))
# # print('='*20)
del frame['I3RecoPulseSeriesMap_union']
self.PushFrame(frame)
