Go to the source code of this file.
Namespaces | |
| namespace | signal_to_recon_job |
Variables | |
| description | |
| inputs = list(job.input_files.values()) | |
| Get job input file targets. | |
| list | signal_file_name = [] |
| Input signal events (slcio format) | |
| str | signal_name = 'signal' |
| Base name of intermediate signal files. | |
| filter_events = ExtractEventsWithHitAtHodoEcal(inputs=signal_file_name, outputs=['%s_filt.slcio' % signal_name], event_interval=0, num_hodo_hits=1) | |
| Filter signal events and catenate files before overlaying with pulser data. | |
| count_filter = LCIOCount(inputs=filter_events.output_files()) | |
| Count filtered events. | |
| space_signal = FilterBunches(inputs=filter_events.output_files(), filter_no_cuts=True, outputs=['%s_spaced.slcio' % signal_name], filter_event_interval=250) | |
| Space overlaid events. | |
| count_space_overlay = LCIOCount(inputs=space_signal.output_files()) | |
| Print number of merged events. | |
| readout | |
| Run simulated events in readout to generate triggers. | |
| count_readout = LCIOCount(inputs=readout.output_files()) | |
| Print number of readout events. | |
| recon | |
| Run physics reconstruction. | |
| count_recon = LCIOCount(inputs=recon.output_files()) | |
| Print number of recon events. | |