########################################################## 
## 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, Please 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 parametersargument's values, such as region of interest or thresholds, according the ongoing experimental conditions.

Generally speaking, the parameters for each analysis functions are set from a run-dependent logic like thisas shown here:

def getFuncParam(run):
	"""
    """
    if isinstance(run,str):
        run=int(run)
    ret_dict = {}
    if run<21:
    	func_dict = {}
        func_dict['param1'] = <param>
        func_dict['param2'] = <param>
        func_dict['param3'] = <param>
        ret_dict['detname'] = func_dict
	else:
    	func_dict = {}
        func_dict['param1'] = <param>
        func_dict['param2'] = <param>
        func_dict['param3'] = <param>
        ret_dict['detname'] = func_dict      
	return ret_dict

Several analysis functions or detectors can be set up this way.
More details on the different analysis function can be found under Area Detector treatment with DetObject.