Page History
...
Standard (per-shot) detectors and the slower epics variables can be accessed as shown here using the names discovered with the commands above. NOTE: the slow epics variables are polled in the DAQ at 1Hz, so for the first one second of a run they will typically return "None". You NOTE: You can use tab-completion in ipython (see https://ipython.org/ipython-doc/3/interactive/tutorial.html) or the jupyter notebook to explore what you can do with the various detector objects. NOTE: epics variables use a different syntax than other detectors (see example here):
| Code Block | ||
|---|---|---|
| ||
from psana import DataSource
ds = DataSource(exp='tmoc00118', run=222, dir='/cds/data/psdm/prj/public01/xtc'\
, max_events=100)
myrun = next(ds.runs())
opal = myrun.Detector('tmo_atmopal')
epics_det = myrun.Detector('IM2K4_XrayPower')
for evt in myrun.events():
img = opal.raw.image(evt)
epics_val = epics_det(evt) # epics variables have a different syntax
# check for missing data
if img is None:
print('no image')
else:
print(img.shape)
if epics_val is None:
print('no epics value')
else:
print(epics_val) |
...
Overview
Content Tools