3
#################################################################
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###!!! YOU ARE NOT ALLOWED TO MODIFY THIS FILE DIRECTLY !!!###
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###!!! PLEASE MAKE A COPY OF THIS FILE WITH THE CP COMMAND !!!###
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#################################################################
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Online analysis to produce reconstructed events from the MICE Experiment
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"""Analyze data from the MICE experiment
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This will read in and process data taken from the MICE experiment. It will
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eventually include things like cabling information, calibrations, and fits.
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# batch mode = runs ROOT in batch mode so that canvases are not displayed
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# 1 = True, Batch Mode
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# 0 = False, Interactive Mode
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# setting it to false will cause canvases to pop up on screen and
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# will get refreshed every N spills set by the refresh_rate data card
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data_cards_list.append("root_batch_mode='%d'\n" % 1)
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# refresh_rate = once in how many spills should canvases be updated
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data_cards_list.append("refresh_rate='%d'\n" % 1)
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# Add auto-numbering to the image tags. If False then each
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# histogram output by ReducePyMatplotlibHistogram will have
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# tags "tdcadc" and so the end result will be just one histogram
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# file. If True then there will be N files, one for each spill.
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# data_cards_list.append("histogram_auto_number=%s\n" % True)
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# Prefix for file names. Default: auto-generated UUID.
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# data_cards_list.append("image_file_prefix='%s'\n" % "sample-image")
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# Directory for images. Default: current directory.
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# data_cards_list.append("image_directory='%s'\n" % os.getcwd())
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# Update to use path join.
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data_cards_list.append("image_directory='%s'\n" % \
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(os.getenv('HOME') + "/MAUS/maus-apps/media/raw"))
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data_cards = io.StringIO(unicode("".join(data_cards_list)))
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# Set up the input that reads from DAQ
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my_input = MAUS.InputCppDAQOnlineData()
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# my_input = MAUS.InputCppDAQData()
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# Create an empty array of mappers, then populate it
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# with the functionality you want to use.
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my_map = MAUS.MapPyGroup()
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my_map.append(MAUS.MapCppTOFDigits())
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my_map.append(MAUS.MapCppTOFSlabHits())
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my_map.append(MAUS.MapCppTOFSpacePoints())
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reducer = MAUS.ReducePyTOFPlot()
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# reducer = MAUS.ReducePyHistogramTDCADCCounts()
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output_worker = MAUS.OutputPyImage()
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# The Go() drives all the components you pass in then put all the output
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# into a file called 'mausput'
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MAUS.Go(my_input, my_map, reducer,output_worker,data_cards)
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if __name__ == '__main__':
added
removed
bin/user/online_dq_celery_joy.py
