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The following functions are readily available for use in smalldata_tools:

• ROI
• Azimuthal integration
• Droplet
• Projection
• Autocorrelation
• ROIFunc
• ...

The funtions definition can be found in <smalldata_tools>/smalldata_tools/ana_funcs, in case one want to take a close look at how the data are processed. These analysis functions are sub-classes of DetObjectFunc and the computation are done in the custom process method defined in each subclass.

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The different common modes are described here

Interactive SmallDataAna session

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For the use of the interactive features of SmallDataAna_psana, we recommend to start it in an ipython session as interactive grabbing of user input is currently not implemented via the notebook.

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In order to decide on the proper ROI, fit a team center or make a mask, the first step is always to create an image that you would like to use as base. This is achieved using the following function in the python terminal opened from:

/regsdf/data/dlcls/psdmds/<hutch>/<expname>/results/smalldata_tools via:

Code Block
language bash theme RDark
./

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producers/runSmallDataAna -r <#> [-e <expname>]

The following command will create an average image of 100 events of an area detector with a set of default parameters: -r <run#>

Code Block
language py theme RDark
SDAna In: anaps.AvImage()

This will by default create an average image of 100 events of an area detector. The method will list and prompt for a detector name if more than one area detector is found in the dataset. 

The full command with all its options can be looked via using the "?" feature of pythoniPython:

Code Block
language py theme RDark
SDAna In: anaps.AvImage?

 
If you would like to take a quick look at your average image before proceeding, call:

Code Block
language py theme RDark
SDAna In: anaps.plotAvImage()

The SmallDataAna session can typically be used to help setting the parameters for the smalldata production.

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Deprecated

Typical forms of userData

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