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Note - it is important to make sure that the priority queues are available for experiments during their scheduled time. In particular, if one is doing online monitoring for an experiment running during the day shift using a high priority queue, one must stop using the queue if it will be used by an experiment running during the night shift (use the "stop all" button if translating through the web portal of experiments). At that point one would switch to doing translation using the offline psanaq, and the offline file system rather than the ffb. Optimal I/O performance requires coordinating which queue you use with where the data is read from, and written to. In particular, the ffb data location should only be used for the high priority queues. See Submitting Batch System Analysis Jobs for more details on the different queues, In terms of where to write data, write to an experiment folder like ftc or scratch - don't write to your home directly.

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Below is a complete example. First we make a release environment, and create a package for our Python Module that will filter events:

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Suppose we want to filter based on the photon count of the calibrated cspad from the CxiDs1.0:Cspad.0 source in the tutorial data. Rather then work with the quad's of the cspad, we will use an image producer module so that we can work with a 2D image. Further documentation on the various calibration modules, including image producers, can be found at psana - Module Catalog. We now add the following two files:

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