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| Code Block | ||||
|---|---|---|---|---|
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##########################################################
## User Input start -->
##########################################################
##adding raw timetool traces:
#defaultDets.append(ttRawDetector(env=ds.env()))
##adding wave8 traces:
#defaultDets.append(wave8Detector('Wave8WF'))
##########################################################
## <-- User Input end
##########################################################
|
Time tool analysis
XTCAV values
Run-dependent variables
Area detectors analysis
In order to keep the filesizes small to avoid issue when analysis the smallData files, we try to extract the important information gleaned from areaDetectors at an event-by-event basis and only save these pieces of data. Implementation examples of each of the analysis functions that are readily available can be found in <smalldata_tools>/producers/smalldata_producer_template.py.
In general, reach out to your data and controls POC to discuss analysis needs for your experiments. The POC will make sure the functions you need are prepared in the main producer file, and you should only have to change the parameters, such as region of interest or thresholds.
Generally speaking, the parameters for each analysis functions are set from a run-dependent logic like this:
| Code Block | ||||||||
|---|---|---|---|---|---|---|---|---|
| ||||||||
def getFuncParam(run):
"""
"""
if isinstance(run,str):
run=int(run)
ret_dict = {}
if run>0run<21:
func_dict = {}
func_dict['param1'] = param1.0
func_dict['param2'] = param2.0
func_dict['param3'] = param3.0
ret_dict['detname'] = func_dict
else:
if run<21:
func_dict = {}
func_dict['param1'] = param1.1
func_dict['param2'] = param2.1
func_dict['param3'] = param3.1
ret_dict['detname'] = func_dict
return ret_dict
|
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