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The first just dumps datagram headers, the latter dumps xtc headers. There are some additional options, how much of the xtc payloads to print, and if you want parsed output for epics. A help string is available by typing xtclinedump with no arguments. Except for the non-default epics argument, xtclinedump does no parsing of the xtc payloads, it simply prints the first few bytes in hex. For reading through payloads, the intel architechture uses little endian, so 0x00040000 = 1024,

Package TimeTool

An example of how to use the TimeTool can be found Here.

Modules for analyzing recorded data from a timetool camera setup. The timetool camera measures the time difference between laser and FEL in one of two methods:

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• configure TimeTool.Analyze to get laser and/or beam logic from strings in the Event
• Write a Psana Module that puts "on" or "off" in the Event for the laser and/or beam based on your own logic
• Load this Psana Module before loading TimeTool.Analyze

The new parameters to tell TimeTool.Analyze to get laser/beam logic are "beam_on_off" and "laser_on_off". For example, if you do

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then TimeTool.Analyze would treat the beam as on and the laser as off for every event.Following the steps of

Plotting and Details about Analyze

A general feature of psana is to control the level of output that differnent modules cary out. To see the trace and debug messages of TimeTool.Analyze, set the following environment variable before running your code

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This adds a number of intermediate calculations into the event store. The TimeTool package includes a Python Psana module that will look for these results and plot them. To use this module, include it in the Psana module chain after TimeTool.Analyze, i.e:

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[TimeTool.PlotAnalyze]
tt_get_key = TSS_OPAL     # or whatever the input key is for TimeTool.Analyze to find the camera frame
tt_put_key = TTANA        # or whatever the output key, put_key is for TimeTool.Analyze
fignumber = 11            # starting matplotlib figure number, change to not interfere with other figure numbers you may be using
pause = 1                 # set to 0 to go through events without pause, otherwise module stops each time the laser is on

Examples

The TimeTool package contains two examples.

EVR BYKICK signals no beam

A common way to run the TimeTool is to have the laser always on, but the beam is not present when the evr bykick code is present. The TimeTool.Analyze module will build up a reference during the BYKICK shots, and attempt to compute results for all other shots. There are a few reasons why it may fail and return no results - usually related to a very poor signal during that event. To run this example, do

python TimeTool/examples/plot_analyze.py -h

You see that it is a script with a help message. If you then run it as

python TimeTool/examples/plot_analyze.py -d sxri0214 -r 158 -n 100

The -n option is a testing option that limits the number of events to the first 100. The script loads TimeTool.Analyze to get results, but it also configures TimeTool.Analyze to put extra information in the event store. This is done with the generated a log plot of the image and plots the time tool pixel position result over the plot.

Manage References using Calibration Manager

Some experiments use certain runs to form the reference for the TimeTool. They take a run where the laser is ON, but the beam is blocked. TimeTool.Analyze contains two parameters, ref_load and ref_store. These could be used to have TimeTool save a reference from such a run, and then load it when processing another run. Another option is to form a pedestal file for the camera in question using calibman. Once this pedestal file has been deployed, you can set the option

        use_calib_db_ref=1

In the TimeTool.Analyze configuration. It will then detect which run the events are coming from and attempt to load the pedestal file from the calibration manager. Look at

python TimeTool/examples/refCalibExample.py -h

for details.

that one can

Module Check

a module that retrieves results from the event for either the above module or from data recorded online.

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