########################################################## 
## 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.

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 argument'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 as 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 .

for example:

• ROI
• Azimuthal integration
• Droplet
• Projection
• ...

In the smd_producer.py, the function to define the ROIs goes as follow:

def getROIs(run):
    """ Set parameter for ROI analysis. Set writeArea to True to write the full ROI in the h5 file.
    See roi_rebin.py for more info
    """
    if isinstance(run,str):
        run=int(run)
    ret_dict = {}
    if run<21:
        roi_dict = {}
        roi_dict['ROIs'] = [ [[1,2], [127,394], [655,923]]] # can define more than one ROI
        roi_dict['writeArea'] = True
        roi_dict['thresADU'] = None
        ret_dict['jungfrau1M'] = roi_dict
    elif run>20 and run<43:
        roi_dict = {}
        roi_dict['ROIs'] = [chip22] # can define more than one ROI
        roi_dict['writeArea'] = True
        roi_dict['thresADU'] = None
        ret_dict['jungfrau1M'] = roi_dict
    elif run>42:
        roi_dict = {}
        roi_dict['ROIs'] = [chip22] # can define more than one ROI
        roi_dict['writeArea'] = True
        roi_dict['thresADU'] = None
        ret_dict['jungfrau1M'] = roi_dict
    return ret_dict

Besides, the ROI definition, the parameters are the following:

writeArea: whether to write the full ROI to file or only the statistics (intensity sum, and other statistics)

thresADU: pixel intensity threshold. Any pixel below that value are set to 0

See1.2 Area Detector treatment with DetObject#1.2AreaDetectortreatmentwithDetObject-InteractiveSmallDataAnasessionDetObject and child pages for details on the different analysis functions.