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calibration.py
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calibration.py
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from tablib.core import Dataset
from gimel_session import GimelSession
from gimel_parser import parse
from parse_txt import do_parse
import re
import json
USER_NAME = ''
PASSWORD = ''
IDNum = ''
SESSION_FILE = 'kshort.txt'
EXEL_OUTPUT = 'kshort.xls'
minimum_energy = 7
step_size = 0
number_of_injections = 1
per_energy = 3000
particle = 'k-short'
if __name__ == '__main__':
with open('auth.json') as f:
data = json.load(f)
USER_NAME = data["username"]
PASSWORD = data["password"]
IDNum = data["id"]
with GimelSession(user=USER_NAME, password=PASSWORD, output_file=SESSION_FILE) as g:
g.start_gimmel()
g.send_command(IDNum)
g.send_particles_ascending_energies(particle, minimum_energy, step_size, number_of_injections,per_energy)
with open(SESSION_FILE) as f:
text = f.read()
if particle is 'photon':
events = parse(text)
dataset = Dataset()
dataset.headers = ('P', 'pulseheight', 'x', 'dx', 'y',
'dy', 'z', 'dz', 'ywidth', 'zwidth')
for event in events:
row = []
if len(event.clusters.clusters.clusters) is 1:
row.append(event.energy)
row.append(event.clusters.clusters.clusters[0].pulse_height)
row.append(event.clusters.clusters.clusters[0].x.value)
row.append(event.clusters.clusters.clusters[0].x.error)
row.append(event.clusters.clusters.clusters[0].y.value)
row.append(event.clusters.clusters.clusters[0].y.error)
row.append(event.clusters.clusters.clusters[0].z.value)
row.append(event.clusters.clusters.clusters[0].z.error)
row.append(event.clusters.clusters.clusters[0].ywidth)
row.append(event.clusters.clusters.clusters[0].zwidth)
dataset.append(row)
with open(EXEL_OUTPUT, 'wb') as f:
f.write(dataset.export('xls'))
elif particle is 'electron' or particle is 'muon':
events = parse(text)
dataset = Dataset()
dataset.headers = ('P', 'tandip', 'Kappa', 'd Kappa',
'Calorimeter Pulse Heights')
for event in events:
row = []
row.append(event.energy)
if len(event.tracks.tracks) is not 0:
if event.tracks.tracks[0].parameters.tandip is not None:
row.append(event.tracks.tracks[0].parameters.tandip)
else:
row.append('No tandip')
tmpTrk = event.tracks.tracks[0]
row.append(event.tracks.tracks[0].parameters.akappa)
if 'akappa' in tmpTrk.error_matrix['akappa']:
row.append(tmpTrk.error_matrix['akappa']['akappa'])
else:
row.append('no dk')
else:
row.append('no tracks')
row.append('no tracks')
row.append('no tracks')
thing = []
for i in range(len(event.calorimeter.clusters.clusters)):
thing.append(
event.calorimeter.clusters.clusters[i].pulse_height)
row.append(','.join(str(e) for e in thing))
dataset.append(row)
with open(EXEL_OUTPUT, 'wb') as f:
f.write(dataset.export('xls'))
elif particle is 'k-short':
events = parse(text)
dataset = Dataset()
dataset.headers = ('event number','P', 'track 1','track 2', 'phi',
'dphi','x','dx','y','dy','z','dz','trk1Kappa','trk2Kappa')
names=re.compile(r'\s+[a-zA-Z]*\s+(\d+)\s+[a-zA-Z]*\s+(\d+)\s*')
eventNum=0
for event in events:
eventNum+=1
for vertex in event.verteces.verteces:
trks=vertex.name.lstrip(' ').split()
if len(trks) is 4:
trk1=int(trks[1])
trk2=int(trks[3])
if len(event.tracks.tracks)>=max(trk1,trk2):
row=[]
row.append(eventNum)
row.append(event.energy)
row.append(trk1)
row.append(trk2)
row.append(vertex.phi.value)
row.append(vertex.phi.error)
try:
row.append(vertex.x.value)
row.append(vertex.x.error)
row.append(vertex.y.value)
row.append(vertex.y.error)
row.append(vertex.z.value)
row.append(vertex.z.error)
except AttributeError:
row.append(0)
row.append(0)
row.append(0)
row.append(0)
row.append(0)
row.append(0)
row.append(event.tracks.tracks[trk1-1].parameters.akappa)
row.append(event.tracks.tracks[trk2-1].parameters.akappa)
dataset.append(row)
with open(EXEL_OUTPUT, 'wb') as f:
f.write(dataset.export('xls'))
elif particle is 'pi-0':
events = parse(text)
dataset = Dataset()
dataset.headers = ('P', 'cluster num', 'pulse height',
'x', 'dx', 'y', 'dy', 'z', 'dz', 'ywidth', 'zwidth')
for event in events:
if len(event.calorimeter.clusters.clusters) is 2:
for i in range(len(event.calorimeter.clusters.clusters)):
row = []
row.append(event.energy)
row.append(event.calorimeter.clusters.clusters[i].no)
row.append(
event.calorimeter.clusters.clusters[i].pulse_height)
row.append(event.calorimeter.clusters.clusters[i].x.value)
row.append(event.calorimeter.clusters.clusters[i].x.error)
row.append(event.calorimeter.clusters.clusters[i].y.value)
row.append(event.calorimeter.clusters.clusters[i].y.error)
row.append(event.calorimeter.clusters.clusters[i].z.value)
row.append(event.calorimeter.clusters.clusters[i].z.error)
row.append(event.calorimeter.clusters.clusters[i].ywidth)
row.append(event.calorimeter.clusters.clusters[i].zwidth)
dataset.append(row)
elif len(event.clusters.clusters.clusters) is 2:
for i in range(len(event.clusters.clusters.clusters)):
row = []
row.append(event.energy)
row.append(event.clusters.clusters.clusters[i].no)
row.append(
event.clusters.clusters.clusters[i].pulse_height)
row.append(event.clusters.clusters.clusters[i].x.value)
row.append(event.clusters.clusters.clusters[i].x.error)
row.append(event.clusters.clusters.clusters[i].y.value)
row.append(event.clusters.clusters.clusters[i].y.error)
row.append(event.clusters.clusters.clusters[i].z.value)
row.append(event.clusters.clusters.clusters[i].z.error)
row.append(event.clusters.clusters.clusters[i].ywidth)
row.append(event.clusters.clusters.clusters[i].zwidth)
dataset.append(row)
with open(EXEL_OUTPUT, 'wb') as f:
f.write(dataset.export('xls'))
else:
do_parse(SESSION_FILE)