def setDefaultPsana(self):
try:
ds = psana.DataSource("exp="+self.experimentName+":run="+str(self.runNumber)+':idx')
except:
raise Exception('!!!!! Invalid experiment name or run number')
run = ds.runs().next()
env = ds.env()
times = run.times()
det = psana.Detector(self.detectorName)
epics = ds.env().epicsStore()
counter = 0
evt = None
while evt is None:
evt = run.event(times[counter])
counter += 1
self.instrument = det.instrument()
from experiment import myExp
exp = myExp(self.experimentName,self.runNumber,self.detectorName)
exp.Det
self.clen = exp.clen or 0.0
self.clenEpics = exp.clenEpics
print(self.clen, self.clenEpics)
self.detectorDistance = np.mean(det.coords_z(evt))*1.0e-6
self.coffset = self.detectorDistance - self.clen
self.pixelSize = det.pixel_size(run)*1.0e-6
rlist = []
for each in runs.split(","):
if each == "":
continue
elif ":" in each:
start, end = each.split(":")
rlist.extend(range(int(start), int(end) + 1))
else:
rlist.append(int(each))
return rlist
if args.det is None:
from experiment import myExp
runs = get_run(args.run)
exp = myExp(args.exp, runs[0])
try:
exp.Det
except:
pass
args.det = exp.detName
print args.det
for run in get_run(args.run):
if run == args.copyRun:
setupNewRun(experimentName=args.exp,
runNumber=run,
detectorName=args.det,
outDir=args.outDir)
else:
setupNewRun(experimentName=args.exp,