gondola.run#
Deal with data & meta data. Data in the GAPS experiment is grouped by "run", where one run is a consecutive time of ininterrupted data taking with the same configuration
Classes
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Write out some statistics for this run and write it ultimately to a .toml file on disk |
- class gondola.run.RunMeta(start_gps_time: float = 0, stop_gps_time: float = 0, start_gcu_time: float = 0, stop_gcu_time: float = 0, run_id: int = 0, start_event_id: int = 0, stop_event_id: int = 0, missing_evids: int = 0, runtime_h: float = 0, n_events: int = 0, avg_rate: float = 0)#
Write out some statistics for this run and write it ultimately to a .toml file on disk
- start_gps_time: float = 0#
- stop_gps_time: float = 0#
- start_gcu_time: float = 0#
- stop_gcu_time: float = 0#
- run_id: int = 0#
- start_event_id: int = 0#
- stop_event_id: int = 0#
- missing_evids: int = 0#
- runtime_h: float = 0#
- n_events: int = 0#
- avg_rate: float = 0#
- __init__(start_gps_time: float = 0, stop_gps_time: float = 0, start_gcu_time: float = 0, stop_gcu_time: float = 0, run_id: int = 0, start_event_id: int = 0, stop_event_id: int = 0, missing_evids: int = 0, runtime_h: float = 0, n_events: int = 0, avg_rate: float = 0) None#